Free and Premium Amazon Web Services CLF-C02 Dumps Questions Answers

 Availability Zones contain multiple data centers. This is a characteristic of the AWS global infrastructure, which consists of AWS Regions, Availability Zones, and edge locations. AWS Regions are geographically isolated areas that contain multiple Availability Zones. Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures and connected by low-latency, high-throughput, and highly redundant networking. Each Availability Zone contains one or more data centers that house the servers and storage devices that run AWS services. Edge locations are sites that are located closer to the end users and provide caching and content delivery services. AWS Global InfrastructureAWS Certified Cloud Practitioner - aws.amazon.com

 Amazon Rekognition is a service that provides deep learning-based image and video analysis. One of the benefits of Amazon Rekognition is the ability to detect objects that appear in pictures, such as faces, landmarks, animals, text, and scenes. This can enable applications to perform tasks such as face recognition, face verification, face comparison, face search, celebrity recognition, emotion detection, age range estimation, gender identification, facial analysis, facial expression recognition, and more. Amazon Rekognition OverviewAWS Certified Cloud Practitioner - aws.amazon.com

The company should use Amazon RDS with a MySQL database to meet the requirements of moving its workload to AWS so that the tasks of patching the database and taking backup snapshots of the data in the clusters will be completed automatically. Amazon RDS is a managed service that simplifies the setup, operation, and scaling of relational databases in the AWS Cloud. Amazon RDS automates common database administration tasks such as patching, backup, and recovery. Amazon RDS also supports MySQL and other popular database engines5

The design principles for reliability in the AWS Cloud are:

Test recovery procedures. The best way to ensure that systems can recover from failures is to regularly test them using simulated scenarios. This can help identify gaps and improve the recovery process.

Automatically recover from failure. By using automation, systems can detect and correct failures without human intervention. This can reduce the impact and duration of failures and improve the availability of the system.

Scale horizontally to increase aggregate system availability. By adding more redundant resources to the system, the impact of individual resource failures can be reduced. This can also improve the performance and scalability of the system.

Stop guessing capacity. By using monitoring and automation, systems can adjust the capacity based on the demand and performance metrics. This can prevent failures due to insufficient or excessive capacity and optimize the cost and efficiency of the system.

Manage change in automation. By using automation, changes to the system can be applied in a consistent and controlled manner. This can reduce the risk of human errors and configuration drifts that can cause failures. AWS Well-Architected Framework

AWS Enterprise Support is the AWS Support plan that assigns an AWS concierge agent to a company’s account. AWS Enterprise Support is the highest level of support that AWS offers, and it provides the most comprehensive and personalized assistance. An AWS concierge agent is a dedicated technical account manager who acts as a single point of contact for the company and helps to optimize the AWS environment, resolve issues, and access AWS experts. For more information, see [AWS Support Plans] and [AWS Concierge Support].

The correct answer is B because AWS Storage Gateway is a service that should be used by the company to meet the requirements. AWS Storage Gateway is a service that connects on-premises software applications with cloud-based storage. AWS Storage Gateway supports three types of gateways: file gateway, volume gateway, and tape gateway. The tape gateway type enables users to back up and archive data to virtual tapes in AWS without changing their existing backup workflows. Users can use their existing backup applications and tape libraries to store data on virtual tapes in Amazon S3 or Amazon S3 Glacier. The other options are incorrect because they are not services that should be used by the company to meet the requirements. Amazon Elastic Block Store (Amazon EBS) is a service that provides block-level storage volumes for Amazon EC2 instances. Amazon Elastic Container Service (Amazon ECS) is a service that enables users to run, scale, and secure containerized applications on AWS. AWS Lambda is a service that enables users to run code without provisioning or managing servers. Reference: AWS Storage Gateway FAQs

 Performance efficiency is the pillar of the AWS Well-Architected Framework that represents the requirements of designing a solution for the efficient use of compute resources for an enterprise workload and making informed decisions as the technology needs evolve. It focuses on using the right resources and services for the workload, monitoring performance, and continuously improving the efficiency of the solution. Operational excellence is the pillar of the AWS Well-Architected Framework that represents the ability to run and monitor systems to deliver business value and to continually improve supporting processes and procedures. Cost optimization is the pillar of the AWS Well-Architected Framework that represents the ability to run systems to deliver business value at the lowest price point. Reliability is the pillar of the AWS Well-Architected Framework that represents the ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues.

 The tasks that are the responsibility of AWS according to the AWS shared responsibility model are securing the access of physical AWS facilities and performing infrastructure patching and maintenance. The AWS shared responsibility model defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical security of the hardware, software, networking, and facilities that run the AWS services. AWS is also responsible for the maintenance and patching of the infrastructure that supports the AWS services. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use. Configuring AWS Identity and Access Management (IAM), configuring security groups on Amazon EC2 instances, and patching applications that run on Amazon EC2 instances are tasks that are the responsibility of the customer, not AWS.

 Increased business agility is a benefit of moving to the AWS Cloud in terms of improving time to market. Business agility refers to the ability of a company to adapt to changing customer needs, market conditions, and competitive pressures. Moving to the AWS Cloud enables business agility by providing faster access to resources, lower upfront costs, and greater scalability and flexibility. By using the AWS Cloud, companies can launch new products and services, experiment with new ideas, and respond to customer feedback more quickly and efficiently. For more information, see [Benefits of Cloud Computing] and [Business Agility].

The correct answers are A and D because network infrastructure and virtualization of infrastructure and physical security of hardware are AWS responsibilities according to the AWS shared responsibility model. The AWS shared responsibility model is a framework that defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the global infrastructure, such as the regions, availability zones, and edge locations; the hardware, software, networking, and facilities that run the AWS services; and the virtualization layer that separates the customer instances and storage. The customer is responsible for the security in the cloud, which includes the customer data, the guest operating systems, the applications, the identity and access management, the firewall configuration, and the encryption. The other options are incorrect because they are not AWS responsibilities according to the AWS shared responsibility model. Security of application data, guest operatingsystems, and credentials and policies are customer responsibilities according to the AWS shared responsibility model. Reference: [AWS Shared Responsibility Model]

 Consolidated billing is an AWS feature that allows users to combine the usage and costs of multiple AWS accounts into a single bill. This enables users to obtain billing discounts that are based on the company’s use of AWS services, such as volume pricing tiers, Reserved Instance discounts, andSavings Plans discounts5. Resource tagging is an AWS feature that allows users to assign metadata to AWS resources, such as EC2 instances, S3 buckets, and Lambda functions. This enables users to organize, track, and manage their AWS resources, such as filtering, grouping, and reporting. Pay-as-you-go pricing is an AWS pricing model that allows users to pay only for the resources and services they use, without any upfront or long-term commitments. This enables users to lower their costs by scaling up or down as needed, and avoiding over-provisioning or under-utilization. Spot Instances are spare EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for workloads that can tolerate interruptions, such as batch processing, data analysis, and testing. Spot Instances are allocated based on the current supply and demand, and can be reclaimed by AWS with a two-minute notice when the demand exceeds the supply.

The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating systems in the cloud. The framework consists of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. The operational excellence pillar focuses on the ability to run workloads effectively, gain insight into operations, and continuously improve supporting processes and procedures. Therefore, the correct answer is C. You can learn more about the AWS Well-Architected Framework and its pillars.

The AWS services and features that are provided to all customers at no charge are VPC and AWS Identity and Access Management (IAM). VPC is a service that allows you to launch AWS resources in a logically isolated virtual network that you define. You can create and use a VPC at no additional charge, and you only pay for the resources that you launch in the VPC, such as EC2 instances or EBSvolumes. IAM is a service that allows you to manage access and permissions to AWS resources. You can create and use IAM users, groups, roles, and policies at no additional charge, and you only pay for the AWS resources that the IAM entities access. Amazon Aurora, Amazon SageMaker, andAmazon Polly are not free services, and they charge based on the usage and features that you choose5

The correct answers are A and B because Service Quotas console and AWS Trusted Advisor are AWS services or tools that can report on the quotas so that the company can improve the reliability of the application. Service Quotas console is an AWS tool that enables users to view and manage their quotas for AWS services from a central location. Users can use Service Quotas console to request quota increases, track quota usage, and set up alarms for approaching quota limits. AWS Trusted Advisor is an AWS service that provides real-time guidance to help users follow AWS best practices for security, performance, cost optimization, and fault tolerance. One of the categories of checks that AWS Trusted Advisor performs is service limits, which monitors the usage of each AWS service and alerts users when they are close to reaching the default limit. The other options are incorrect because they are not AWS services or tools that can report on the quotas so that the company can improve the reliability of the application. AWS Systems Manager is an AWS service that enables users to automate operational tasks, manage configuration and compliance, and monitor system health and performance. AWS Shield is an AWS service that protects users from distributed denial of service (DDoS) attacks. AWS Cost Explorer is an AWS tool that enables users to visualize, understand, and manage their AWS costs and usage. Reference: Service Quotas, AWS Trusted Advisor FAQs

Reliability is the benefit of AWS Cloud computing that ensures the workload performs consistently and correctly. According to the AWS Cloud Practitioner Essentials course, reliability means "theability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues."1 Elasticity, security, and pay-as-you-go pricing are also benefits of AWS Cloud computing, but they do not directly relate to the goal of consistent and correct performance.

The design principles that support the reliability pillar of the AWS Well-Architected Framework are: automatically scale to meet demand, and automatically recover from failure. These principles help users design systems that can handle changes in load, avoid disruptions, and resume normal operations quickly. Automatically scaling to meet demand means adjusting the capacity of the system based on the current and anticipated workload, using services such as AWS Auto Scaling, Amazon EC2, and AWS Lambda. Automatically recovering from failure means detecting and resolving issues, using services such as Amazon CloudWatch, AWS CloudFormation, and AWS CloudTrail

 The correct answers are C and D because S3 bucket policies and IAM user policies are AWS features that will meet the requirements. S3 bucket policies are access policies that can be attached to Amazon S3 buckets to grant or deny permissions to the bucket and the objects it contains. S3 bucket policies can be used to control who has permission to read, write, or delete objects that the company stores in the S3 bucket. IAM user policies are access policies that can be attached to IAM users to grant or deny permissions to AWS resources and actions. IAM user policies can be used to control who has permission to read, write, or delete objects that the company stores in the S3 bucket. The other options are incorrect because they are not AWS features that will meet the requirements. Security groups and network ACLs are AWS features that act as firewalls to control inbound and outbound traffic to and from Amazon EC2 instances and subnets. Security groups andnetwork ACLs do not control who has permission to read, write, or delete objects that the company stores in the S3 bucket. S3 bucket versioning is an AWS feature that enables users to keep multiple versions of the same object in the same bucket. S3 bucket versioning can be used to recover from accidental overwrites or deletions of objects, but it does not control who has permission to read, write, or delete objects that the company stores in the S3 bucket. Reference: Using Bucket Policies and User Policies, Security Groups for Your VPC, Network ACLs, [Using Versioning]

The solution that meets the requirement of the company that runs a database on Amazon Aurora in the us-east-1 Region and has a disaster recovery requirement that the database be available inanother Region with minimal disruption to the database operations is to deploy Aurora cross-Region read replicas. Aurora cross-Region read replicas are secondary Aurora clusters that are created in a different AWS Region from the primary Aurora cluster, and are kept in sync with the primary cluster using physical replication. The company can use Aurora cross-Region read replicas to improve the availability and durability of the database, as well as to reduce the recovery time objective (RTO) and recovery point objective (RPO) in case of a regional disaster. Performing an Aurora Multi-AZ deployment, creating Amazon EBS volume snapshots for Aurora and copying them to another Region, and deploying Aurora Replicas are not the best solutions for this requirement. An Aurora Multi-AZ deployment is a configuration that creates one or more Aurora Replicas within the same AWS Region as the primary Aurora cluster, and provides automatic failover in case of an Availability Zone outage. However, this does not provide cross-Region disaster recovery. Creating Amazon EBS volume snapshots for Aurora and copying them to another Region is a manual process that requires stopping the database, creating the snapshots, copying them to the target Region, and restoring them to a new Aurora cluster. This process can cause significant downtime and data loss. Deploying Aurora Replicas is a configuration that creates one or more secondary Aurora clusters within the same AWS Region as the primary Aurora cluster, and provides read scaling and high availability. However, this does not provide cross-Region disaster recovery.

Compute Savings Plans are a flexible and cost-effective way to optimize long-term compute costs of AWS Lambda functions and Amazon EC2 instances. With Compute Savings Plans, customers can commit to a consistent amount of compute usage (measured in $/hour) for a 1-year or 3-year termand receive a discount of up to 66% compared to On-Demand prices3. Dedicated Hosts are physical servers with EC2 instance capacity fully dedicated to the customer’s use. They are suitable for customers who have specific server-bound software licenses or compliance requirements4. Reserved Instances are a pricing model that provides a significant discount (up to 75%) compared to On-Demand pricing and a capacity reservation for EC2 instances. They are available in 1-year or 3-year terms and different payment options5. Spot Instances are spare EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for customers who have flexible start and end times, can withstand interruptions, and can handle excess capacity.

 AWS Shield Standard is a service that provides protection against Distributed Denial of Service (DDoS) attacks for all AWS customers at no additional charge. It automatically detects and mitigates the most common and frequently occurring network and transport layer DDoS attacks that target AWS resources, such as Amazon EC2 instances, Elastic Load Balancers, Amazon CloudFront distributions, and Amazon Route 53 hosted zones. AWS Firewall Manager is a service that allows users to centrally configure and manage firewall rules across their AWS accounts and resources, such as AWS WAF web ACLs, AWS Shield Advanced protections, and Amazon VPC security groups. AWS WAF is a web application firewall that helps protect web applications from common web exploits, such as SQL injection, cross-site scripting, and bot attacks. Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. It analyzes the behavior of the applications and checks for vulnerabilities, exposures, and deviations from best practices.

The AWS service that will meet the requirements of the company that wants to create a chatbot and integrate the chatbot with its current web application is Amazon Lex. Amazon Lex is a service that helps customers build conversational interfaces using voice and text. The company can use Amazon Lex to create a chatbot that can understand natural language and respond to user requests, using the same deep learning technologies that power Amazon Alexa. Amazon Lex also provides easy integration with other AWS services, such as Amazon Comprehend, Amazon Polly, and AWS Lambda, as well as popular platforms, such as Facebook Messenger, Slack, and Twilio. Amazon Lex helps customers create engaging and interactive chatbots for their web applications. Amazon Kendra, Amazon Textract, and Amazon Polly are not the best services to use for this purpose. Amazon Kendra is a service that helps customers provide accurate and natural answers to natural language queries using machine learning. Amazon Textract is a service that helps customers extract text and data from scanned documents using optical character recognition (OCR) and machine learning. Amazon Polly is a service that helps customers convert text into lifelike speech using deep learning. These services are more useful for different types of natural language processing and generation tasks, rather than creating and integrating chatbots.

 Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Amazon Redshift is designed for complex analytical queries that often involve aggregations and joins across very large tables. Amazon Redshift supports standard SQL and integrates with many existing business intelligence tools1.

 AWS Enterprise Support is the AWS Support plan that includes an AWS concierge whom the company can ask for assistance. According to the AWS Support Plans page, AWS Enterprise Support provides "a dedicated Technical Account Manager (TAM) who provides advocacy and guidance to help plan and build solutions using best practices, coordinate access to subject matter experts, and proactively keep your AWS environment operationally healthy."2 AWS Business Support, AWS Developer Support, and AWS Basic Support do not include a TAM or a concierge service.

The correct answer to the question is B because providing user access with AWS Identity and Access Management (IAM) is a customer responsibility according to the AWS shared responsibilitymodel. The AWS shared responsibility model is a framework that defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the global infrastructure, such as the regions, availability zones, and edge locations; the hardware, software, networking, and facilities that run the AWS services; and the virtualization layer that separates the customer instances and storage. The customer is responsible for the security in the cloud, which includes the customer data, the guest operating systems, the applications, the identity and access management, the firewall configuration, and the encryption. IAM is an AWS service that enables customers to manage access and permissions to AWS resources and services. Customers are responsible for creating and managing IAM users, groups, roles, and policies, and ensuring that they follow the principle of least privilege. Reference: AWS Shared Responsibility Model

 The AWS tool that will meet the requirements of the company that is planning a migration to the AWS Cloud and wants to examine the costs that are associated with different workloads is AWS Pricing Calculator. AWS Pricing Calculator is a tool that helps customers estimate the cost of using AWS services based on their requirements and preferences. The company can use AWS Pricing Calculator to compare the costs of different AWS services and configurations, such as Amazon EC2, Amazon S3, Amazon RDS, and more. AWS Pricing Calculator also provides detailed breakdowns of the cost components, such as compute, storage, network, and data transfer. AWS Pricing Calculator helps customers plan and optimize their cloud budget and migration strategy. AWS Budgets, AWS Cost Explorer, and AWS Cost and Usage Report are not the best tools to use for this purpose. AWSBudgets is a tool that helps customers monitor and manage their AWS spending and usage against predefined budget limits and thresholds. AWS Cost Explorer is a tool that helps customers analyze and visualize their AWS spending and usage trends over time. AWS Cost and Usage Report is a tool that helps customers access comprehensive and granular information about their AWS costs and usage in a CSV or Parquet file. These tools are more useful for tracking and optimizing the existing AWS costs and usage, rather than estimating the costs of different workloads34

The correct answer is D because AWS Enterprise Support is the support plan that provides customers with access to an AWS technical account manager (TAM). AWS Enterprise Support is the highest level of support plan offered by AWS, and it provides customers with the most comprehensive and personalized support experience. An AWS TAM is a dedicated technical resource who works closely with customers to understand their business and technical needs, provide proactive guidance, and coordinate support across AWS teams. The other options are incorrect because they are not support plans that provide customers with access to an AWS TAM. AWS Basic Support is the default and free support plan that provides customers with access to online documentation, forums, and account information. AWS Developer Support is the lowest level of paid support plan that provides customers with access to technical support during business hours, general guidance, and best practice recommendations. AWS Business Support is the intermediate level of paid support plan that provides customers with access to technical support 24/7, system health checks, architectural guidance, and case management. Reference: AWS Support Plans

The correct answer is B because Amazon ElastiCache is a service that provides in-memory data storage. Amazon ElastiCache is a fully managed, scalable, and high-performance service that supports two popular open-source in-memory engines: Redis and Memcached. Amazon ElastiCache allows users to store and retrieve data from fast, low-latency, and high-throughput in-memory systems. Users can use Amazon ElastiCache to improve the performance of their applications by caching frequently accessed data, reducing database load, and enabling real-time data processing. The other options are incorrect because they are not services that provide in-memory data storage. Amazon DynamoDB is a service that provides key-value and document data storage. Amazon RDS is a service that provides relational data storage. Amazon Timestream is a service that provides time series data storage. Reference: Amazon ElastiCache FAQs

Rightsizing is the cloud concept that this analysis demonstrates. Rightsizing is the process of optimizing the performance and cost of your AWS resources by selecting the most appropriate type, size, and configuration based on your workload requirements and usage patterns. Rightsizing can help you achieve potential cost savings by reducing the over-provisioning or under-utilization of your resources. You can use various AWS tools and services, such as AWS Cost Explorer, AWS Compute Optimizer, and AWS Trusted Advisor, to analyze your resource utilization and performance metrics, and receive recommendations for rightsizing.

The company follows the AWS Cloud design principle of ensuring traceability by using AWS CloudTrail. AWS CloudTrail is a service that records the API calls and events made by or on behalf of the AWS account. The company can use AWS CloudTrail to monitor, audit, and analyze the activity and changes in their AWS resources and applications. AWS CloudTrail helps the company to achieve compliance, security, governance, and operational efficiency. Recovering automatically, performing operations as code, and measuring efficiency are other AWS Cloud design principles, but they are not directly related to using AWS CloudTrail. Recovering automatically means that the company can design their cloud workloads to handle failures gracefully and resume normal operations without manual intervention. Performing operations as code means that the company can automate the creation, configuration, and management of their cloud resources using scripts or templates. Measuring efficiency means that the company can monitor and optimize the performance and utilization of their cloud resources and applications34

 AWS Pricing Calculator can be used to estimate costs before deployment. AWS Pricing Calculator is a tool that helps the user to compare the cost of AWS services for different use cases and configurations. The user can create estimates for various AWS services, such as Amazon EC2, Amazon S3, Amazon RDS, and more. The user can also adjust the parameters, such as region, instance type, storage size, and duration, to see how they affect the cost. AWS Pricing Calculator provides a detailed breakdown of the estimated cost, as well as a summary of the key drivers of the cost.

Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures. Each Availability Zone has independent power, cooling, and physical security, and is connected to other Availability Zones in the same Region by a low-latency network. Therefore, the correct answers are A and D. You can learn more about Availability Zones and their characteristics

 The correct answer is C because AWS Trusted Advisor is an AWS service or tool that provides users with the ability to monitor AWS service quotas. AWS Trusted Advisor is an online tool that provides users with real-time guidance to help them provision their resources following AWS best practices. One of the categories of checks that AWS Trusted Advisor performs is service limits, which monitors the usage of each AWS service and alerts users when they are close to reaching the default limit. The other options are incorrect because they are not AWS services or tools that provide users with the ability to monitor AWS service quotas. AWS CloudTrail is a service that enables users to track user activity and API usage across their AWS account. AWS Cost and Usage Reports is a tool that enables users to access comprehensive information about their AWS costs and usage. AWS Budgets is a tool that enables users to plan their service usage, costs, and reservations. Reference: [AWS Trusted Advisor FAQs]

The correct answer is A because Amazon CloudFront is an AWS service that provides secure delivery of data, videos, applications, and APIs to users globally with low latency and high transfer speeds. Amazon CloudFront is a fast content delivery network (CDN) that integrates with other AWS services, such as Amazon S3, Amazon EC2, AWS Lambda, and AWS Shield. Amazon CloudFront delivers content through a worldwide network of edge locations that are located close to the end users. The other options are incorrect because they are not AWS services that provide secure delivery of data, videos, applications, and APIs to users globally with low latency and high transfer speeds. Elastic Load Balancing is an AWS service that distributes incoming traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. Amazon S3 is an AWS service that provides object storage for data of any size and type. Amazon Elastic Transcoder is an AWS service that converts media files from their original source format into different formats that will play on various devices. Reference: Amazon CloudFront FAQs

Amazon Workspaces is the AWS service that provides the functionality of remotely accessing virtual desktop computers from the internet. Amazon Workspaces is a fully managed, secure desktop-as-a-service (DaaS) solution that allows users to provision cloud-based virtual desktops and access them from anywhere, using any supported device. Amazon Workspaces helps users reduce the complexity and cost of managing and maintaining physical desktops, and provides a consistent and secure user experience

AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With AWS Config, you can review changes in configurations and relationships between AWS resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines3.

AWS Directory Service for Microsoft Active Directory is the AWS service that provides a managed Microsoft Active Directory in the AWS Cloud. It enables the user to use their existing Active Directory users, groups, and policies to access AWS resources, such as Amazon EC2 instances, Amazon S3 buckets, and AWS Single Sign-On. It also integrates with other Microsoft applications and services, such as Microsoft SQL Server, Microsoft Office 365, and Microsoft SharePoint

 Spot Instances are instances that use spare EC2 capacity that is available for up to 90% off the On-Demand price. Because Spot Instances can be interrupted by EC2 with two minutes of notification when EC2 needs the capacity back, you can use them for applications that have flexible start and end times, or that can withstand interruptions5. This option is most cost-effective for the use case described in the question. Reserved Instances are instances that you purchase for a one-year or three-year term, and pay a lower hourly rate compared to On-Demand Instances. This option is suitable for applications that have steady state or predictable usage. Dedicated Instances are instances that run on hardware that’s dedicated to a single customer within an Amazon VPC. This option is suitable for applications that have stringent regulatory or compliance requirements. On-Demand Instances are instances that you pay for by the second, with no long-term commitments or upfront payments. This option is suitable for applications that have unpredictable or intermittent workloads.

The company should deploy the EC2 instances across multiple Availability Zones to design a highly available application. Availability Zones are isolated locations within an AWS Region that are engineered to be fault-tolerant and operate independently of each other. By deploying the EC2 instances across multiple Availability Zones, the company can ensure that their application can withstand the failure of an entire Availability Zone and continue to operate with minimal disruption. Deploying the EC2 instances across multiple edge locations, VPCs, or AWS accounts will not provide the same level of availability and fault tolerance as Availability Zones. Edge locations are part of the Amazon CloudFront service, which is a content delivery network (CDN) that caches and serves webcontent to users. VPCs are virtual networks that isolate the AWS resources within an AWS Region. AWS accounts are the primary units of ownership and access control for AWS resources12

The AWS service that will meet the requirements of the company that is hosting a web application on Amazon EC2 instances and wants to implement custom conditions to filter and control inbound web traffic is AWS WAF. AWS WAF is a web application firewall that helps protect web applications from common web exploits that could affect availability, compromise security, or consume excessive resources. The company can use AWS WAF to create custom rules that block malicious requests that match certain patterns, such as SQL injection or cross-site scripting. AWS WAF can be applied to web applications that are behind an Application Load Balancer, Amazon CloudFront, or Amazon API Gateway. Amazon GuardDuty, Amazon Macie, and AWS Shield are not the best services to use for this purpose. Amazon GuardDuty is a threat detection service that monitors for malicious activity and unauthorized behavior across the AWS accounts and resources. Amazon Macie is a data security and data privacy service that uses machine learning and pattern matching to discover, classify, and protect sensitive data stored in Amazon S3. AWS Shield is a managed distributed denial of service (DDoS) protection service that safeguards web applications running on AWS. These services are more useful for detecting and preventing different types of threats and attacks, rather than filtering and controlling inbound web traffic based on custom conditions.

 AWS Config is a service that enables users to assess, audit, and evaluate the configurations of AWS resources. It continuously monitors and records the configuration changes of the resources and evaluates them against desired configurations and best practices. It also provides a detailed view of the resource configuration history and relationships, as well as compliance reports and notifications. AWS Config can help users maintain consistent and secure configurations, troubleshoot issues, and simplify compliance auditing. AWS Config OverviewAWS Certified Cloud Practitioner - aws.amazon.com

Creating an IAM role with the required permissions and attaching the role to the EC2 instance is the most operationally efficient solution to delegate permissions. An IAM role is an entity that defines a set of permissions for making AWS service requests. An IAM role can be assumed by an EC2 instance to access other AWS resources, such as Amazon S3 and Amazon DynamoDB, without having to store any credentials on the instance. This solution is more secure and scalable than using IAM users and their access keys. For more information, see [IAM Roles for Amazon EC2] and [Using an IAM Role to Grant Permissions to Applications Running on Amazon EC2 Instances].

 The correct answer is D because AWS Security Hub is a service that aggregates, organizes, and prioritizes security alerts and findings from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, Amazon Macie, AWS Firewall Manager, and AWS IAM Access Analyzer. The other options are incorrect because they are not services that aggregate security alerts and findings from multiple AWS services. Amazon Detective is a service that helps users analyze and visualize security data to investigate and remediate potential issues. Amazon Inspector is a service that helps users find security vulnerabilities and deviations from best practices in their Amazon EC2 instances. Amazon Macie is a service that helps users discover, classify, and protect sensitive data stored in Amazon S3. Reference: AWS Security Hub FAQs

Amazon RDS supports six database engines: Amazon Aurora, MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server. Apache Cassandra, MongoDB, and Neo4j are not compatible with Amazon RDS. Therefore, the correct answer is D. You can learn more about Amazon RDS and its supported database engines

Amazon RDS is the AWS service that will meet the requirements of migrating a relational database server to the AWS Cloud and minimizing administrative overhead of database maintenance tasks. Amazon RDS is a fully managed relational database service that handles routine database tasks, such as provisioning, patching, backup, recovery, failure detection, and repair. Amazon RDS supports several database engines, such as MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora5.

 According to the AWS shared responsibility model, the customer is responsible for configuring logical access controls for resources, and protecting account credentials. This includes managing IAM user permissions, security group rules, network ACLs, encryption keys, and other aspects of access management1. AWS is responsible for protecting the global infrastructure that runs all of the services offered in the AWS Cloud, such as the hardware, software, networking, and facilities. AWS isalso responsible for configuring the security used by managed services, such as Amazon RDS, Amazon DynamoDB, and Amazon Aurora2.

 AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards applications running on AWS. AWS Shield provides always-on detection and automatic inline mitigations that minimize application downtime and latency, so there is no need to engage AWS Support to benefit from DDoS protection3.

Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Amazon Inspector automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. After performing an assessment, Amazon Inspector produces a detailed list of security findings prioritized by level of severity2.

 Designing loosely coupled components is a design principle that should be considered when architecting in the AWS Cloud. Loose coupling is a way of designing systems to reduce interdependencies and minimize the impact of changes. Loose coupling allows components to interact with each other through well-defined interfaces, rather than direct references. This reducesthe risk of failures and errors propagating across the system, and enables greater scalability, availability, and maintainability5.

Customers share responsibility with AWS for security and compliance of AWS accounts and resources. This is part of the AWS shared responsibility model, which defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical and environmental controls of the AWS global infrastructure, such as power, cooling, fire suppression, and physical access. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications, such as identity and access management, encryption, firewall, and backup. For more information, see AWS Shared Responsibility Model and AWS Cloud Security.

Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for the AWS environment. It analyzes network and account activity using machine learning and threat intelligence to identify potential security threats, such as unauthorized access, compromised credentials, malicious hosts, and reconnaissance activities. It also generates detailed and actionable findings that can be viewed on the AWS Management Console or sent to other AWS services, such as Amazon CloudWatch Events and AWS Lambda, for further analysis or remediation. Amazon GuardDuty OverviewAWS Certified Cloud Practitioner - aws.amazon.com

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both key-value and document data models, and allows you to create tables that can store and retrieve any amount of data, and serve any level of request traffic. You can also use DynamoDB Streams to capture data modification events in DynamoDB tables.

 The correct answers are B and D because making data-driven decisions to determine cloud architectural design and testing systems at production scale are AWS Cloud design principles. Making data-driven decisions to determine cloud architectural design means that users should collect and analyze data from their AWS resources and applications to optimize their performance, availability, security, and cost. Testing systems at production scale means that users should simulate real-world scenarios and load conditions to validate the functionality, reliability, and scalability of their systems. The other options are incorrect because they are not AWS Cloud design principles. Paying for compute resources in advance means that users have to invest heavily in data centers and servers before they know how they will use them. This is not a cloud design principle, but rather a traditional IT model. Emphasizing manual processes to allow for changes means that users have to rely on human intervention and coordination to perform operational tasks and updates. This is not a cloud design principle, but rather a source of inefficiency and error. Refining operational procedures infrequently means that users have to stick to the same methods andpractices without adapting to the changing needs and feedback. This is not a cloud design principle, but rather a hindrance to innovation and improvement. Reference: AWS Well-Architected Framework

AWS Storage Gateway file gateway allows companies to use protocols such as NFS and SMB to store and retrieve objects in Amazon S3. File gateway provides a seamless integration between on-premises applications and Amazon S3, and enables low-latency access to data through local caching. File gateway also supports encryption, compression, and lifecycle management of the objects in Amazon S3. For more information, see What is AWS Storage Gateway? and File Gateway.

 AWS Health API is available to a company that has an AWS Business Support plan. The AWS Health API provides programmatic access to the AWS Health information that is presented in the AWS Personal Health Dashboard. The AWS Health API can help users get timely and personalized information about events that can affect the availability and performance of their AWS resources, such as scheduled maintenance, network issues, or service disruptions. The AWS Health API can also integrate with other AWS services, such as Amazon CloudWatch Events and AWS Lambda, to enable automated actions and notifications. AWS Health API OverviewAWS Support Plans

AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use Lambda to process event notifications from Amazon S3 when objects are uploaded or deleted. Lambda integrates directly with the event notification and invokes your code automatically. Therefore, the correct answer is A. 

 AWS Trusted Advisor is the AWS service or tool that the company should use to identify areas for optimization. According to the AWS Trusted Advisor User Guide, “AWS Trusted Advisor is an online tool that provides you real time guidance to help you provision your resources following AWS best practices. AWS Trusted Advisor checks help optimize your AWS infrastructure, increase security and performance, reduce your overall costs, and monitor service limits.” Amazon QuickSight, AWS Organizations, and AWS Budgets are not designed to provide optimization recommendations for the current AWS environment.

The statement that is true regarding pricing for these eight instances is: four instances will be charged as RIs, and four will be charged as regular instances. Amazon EC2 Reserved Instances (RIs) are a pricing model that allows users to reserve EC2 instances for a specific term and benefit from discounted hourly rates and capacity reservation. RIs are purchased for a specific AWS Region, and can be shared across multiple accounts in an organization in AWS Organizations for consolidated billing. However, RIs are applied on a first-come, first-served basis, and there is no guarantee that all instances in the organization will be charged at the RI rate. In this case, Account A has purchased five RIs and has four instances running, so all four instances will be charged at the RI rate. Account B has not purchased any RIs and also has four instances running, so all four instances will be charged at the regular rate. The remaining RI in Account A will not be applied to any instance in Account B, and will be wasted.

 The correct answer is C because AWS Outposts is an AWS service that enables the company to meet the requirements. AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility. AWS Outposts allows customers to run their workloads on the same hardware and software that AWS uses in its cloud, while maintaining local access and control. The other options are incorrect because they are not AWS services that enable the company to meet the requirements. AWS Device Farm is an AWS service that enables customers to test their mobile and web applications on real devices in the AWS Cloud. AWS Fargate is an AWS service that enables customers to run containers without having to manage servers or clusters. AWS Ground Station is an AWS service that enables customers to communicate with satellites and downlink data from orbit. Reference: AWS Outposts FAQs

To maximize sustainability and minimize environmental impact, a company should apply the following design principles to AWS Cloud workloads: maximize utilization of Amazon EC2 instances and reduce the need for users to reinstall applications. Maximizing utilization of Amazon EC2 instances means that the company can optimize the performance and efficiency of their compute resources, and avoid wasting energy and money on idle or underutilized instances. The company can use features such as Amazon EC2 Auto Scaling, Amazon EC2 Spot Instances, and AWS Compute Optimizer to automatically adjust the number and type of instances based on demand, cost, and performance. Reducing the need for users to reinstall applications means that the company can minimize the amount of data and bandwidth required to deliver their applications to users, and avoid unnecessary downloads and updates that consume energy and resources. The company can use services such as Amazon CloudFront, AWS AppStream 2.0, and AWS Amplify to deliver their applications faster, more securely, and more efficiently to users across the globe. Minimizing utilization of Amazon EC2 instances, minimizing usage of managed services, and forcing frequent application reinstallations by users are not design principles that would maximize sustainability and minimize environmental impact. Minimizing utilization of Amazon EC2 instances would reduce the performance and efficiency of the compute resources, and potentially increase the costs and complexity of the cloud workloads. Minimizing usage of managed services would increase the operational overhead and responsibility of the company, and potentially expose them to more security and reliability risks. Forcing frequent application reinstallations by users would increase the amount of data and bandwidth required to deliver the applications to users, and potentially degrade the user experience and satisfaction.

 AWS manages the encryption of the database clusters and database snapshots for Amazon Aurora, as well as the encryption keys. This is part of the AWS shared responsibility model, where AWS is responsible for the security of the cloud, and the customer is responsible for the security in the cloud. Encryption is one of the security features that AWS provides to protect the data at rest and in transit. For more information, see Amazon Aurora FAQs and AWS Shared Responsibility Model.

The AWS shared responsibility model describes how AWS and the customer share responsibility for security and compliance of the AWS environment. AWS is responsible for the security of the cloud, which includes the physical security of AWS facilities, the infrastructure, hardware, software, and networking that run AWS services. The customer is responsible for security in the cloud, which includes the configuration of security groups, the encryption of customer data on AWS, the management of AWS Lambda infrastructure, and the management of network throughput of each AWS Region. One of the customer responsibilities is to ensure that Amazon EBS volumes are backed up.

 One of the advantages of AWS Cloud computing is that it minimizes variable costs by leveraging economies of scale. This means that AWS can achieve lower costs per unit of computing resources by spreading the fixed costs of building and maintaining data centers over a large number of customers. As a result, AWS can offer lower and more predictable prices to its customers, who only pay for the resources they consume. Therefore, the correct answer is B. You can learn more about AWS pricing and economies of scale

 The ability to deploy to AWS on a global scale is a cloud benefit that AWS offers to its users. AWS has a global infrastructure that consists of AWS Regions, Availability Zones, and edge locations. Users can choose from multiple AWS Regions around the world to deploy their applications and data closer to their end users, while also meeting their compliance and regulatory requirements. Users can also leverage AWS services, such as Amazon CloudFront, Amazon Route 53, and AWS Global Accelerator, to improve the performance and availability of their global applications. AWS also provides tools and guidance to help users optimize their global deployments, such as AWS Well-Architected Framework, AWS CloudFormation, and AWS Migration Hub. AWS Global Infrastructure [AWS Cloud Value Framework] AWS Certified Cloud Practitioner - aws.amazon.com

The correct answer is C because Spot Instances are the pricing model that enables the company to run its existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. Spot Instances are spare Amazon EC2 instances that are available at up to 90% discount compared to On-Demand prices. Spot Instances are suitable for stateless, fault-tolerant, and flexible workloads that can recover from interruptions easily. The other options are incorrect because they are not the pricing model that enables the company to run its existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. Reserved Instances are Amazon EC2 instances that are reserved for a specific period of time (one or three years) in exchange for a lower hourly rate. Reserved Instances are suitable for steady-state or predictable workloads that run for a long duration. On-Demand Instances are Amazon EC2 instances that are launched and billed at a fixed hourly rate. On-Demand Instances are suitable for short-term, irregular, or unpredictable workloads that cannot be interrupted. Dedicated Hosts are physical servers that are dedicated to a single customer. Dedicated Hosts are suitable for workloads that require regulatory compliance or data isolation. Reference: Amazon EC2 Instance Purchasing Options

Adding a department tag to each resource and configuring cost allocation tags is an action that can help you accomplish the goal of billing each department for its resource usage with the least operational overhead. Tags are simple labels consisting of a key and an optional value that you can assign to AWS resources. You can use tags to organize your resources and track your AWS costs ona detailed level. Cost allocation tags enable you to track your AWS costs on a detailed level. After you activate cost allocation tags, AWS uses the cost allocation tags to organize your resource costs on your cost allocation report, to make it easier for you to categorize and track your AWS costs2. Moving each department resource to its own VPC or its own AWS account is an action that can help you isolate and control the resources for each department, but it would incur more operational overhead than using tags. Using AWS Organizations to get a billing report for each department is an action that can help you consolidate billing and payment across multiple AWS accounts, but it would not help you bill each department for its resource usage within a single VPC.

 The correct answer is D because cost allocation tags are a way to track the infrastructure costs for each of the projects separately. Cost allocation tags are key-value pairs that can be attached to AWS resources, such as EC2 instances, and used to categorize and group them for billing purposes. The other options are incorrect because they do not meet the requirements of the question. Use a different EC2 instance type for each project does not help to track the costs for each project, and may impact the performance and compatibility of the applications. Publish project-specific custom Amazon CloudWatch metrics for each application does not help to track the costs for each project, and may incur additional charges for using CloudWatch. Deploy EC2 instances for each project in a separate AWS account does help to track the costs for each project, but it impacts the existing infrastructure and incurs additional charges for using multiple accounts. Reference: Using Cost Allocation Tags

AWS WAF is a web application firewall service that helps protect web applications from common web exploits that could affect availability, compromise security, or consume excessive resources. AWS WAF gives you control over which traffic to allow or block to your web applications by definingcustomizable web security rules. You can use AWS WAF to create rules that block common attack patterns, such as SQL injection or cross-site scripting, and rules that filter out specific traffic patterns you define1. AWS WAF also integrates with other AWS services, such as Amazon CloudFront, Amazon API Gateway, AWS AppSync, and AWS Load Balancer, to provide a comprehensive defense against web attacks2. Therefore, AWS WAF meets the requirements of the social media company, compared to the other options.

The other options are not suitable for the social media company’s requirements, because:

Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Amazon Inspector automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. However, Amazon Inspector does not provide a web application firewall service that can block malicious web requests3.

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. Amazon GuardDuty analyzes and processes the following data sources: VPC Flow Logs, AWS CloudTrail event logs, and DNS logs. However, Amazon GuardDuty does not provide a web application firewall service that can block malicious web requests4.

Amazon CloudWatch is a monitoring and observability service that provides data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. Amazon CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, and visualizes it using automated dashboards, alarms, and notifications. However, Amazon CloudWatch does not provide a web application firewall service that can block malicious web requests.

What Is AWS WAF? - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced

AWS WAF Features - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced

What Is Amazon Inspector? - Amazon Inspector

What Is Amazon GuardDuty? - Amazon GuardDuty

[What Is Amazon CloudWatch? - Amazon CloudWatch]

The correct answer is B and C. EC2 Amazon Machine Images (AMIs) and Amazon Elastic Block Store (Amazon EBS) snapshots are two AWS services that provide disaster recovery solutions for Amazon EC2 instances.

EC2 AMIs are preconfigured templates that contain the software configuration and data required to launch an EC2 instance. You can create AMIs from your running EC2 instances and use them to launch new instances in the same or different AWS Regions. This way, you can quickly recover your EC2 instances in case of a disaster that affects your primary Region or Availability Zone1.

Amazon EBS snapshots are incremental backups of your Amazon EBS volumes. You can create snapshots of your volumes and store them in Amazon S3, which is a highly durable and scalable storage service. You can use snapshots to restore your volumes to a previous point in time or to create new volumes from snapshots. Snapshots can also be copied across AWS Regions, enabling you to recover your data in another Region in case of a disaster2.

The other options are not directly related to disaster recovery for EC2 instances:

EC2 Reserved Instances are a pricing model that allows you to reserve EC2 capacity for a specific period of time and receive a discount on the hourly charge. Reserved Instances do not provide any disaster recovery benefits, as they are only a billing option3.

AWS Shield is a managed service that protects your AWS resources from distributed denial-of-service (DDoS) attacks. AWS Shield provides basic protection for all AWS customers at no additional charge, and advanced protection for customers who need higher levels of detection and mitigation. AWS Shield does not provide any disaster recovery benefits, as it is only a security service4.

Amazon GuardDuty is a threat detection service that monitors your AWS account and workloads for malicious or unauthorized activity. Amazon GuardDuty analyzes various data sources, such as AWS CloudTrail, Amazon VPC Flow Logs, and DNS logs, to identify potential threats and alert you via Amazon CloudWatch Events or AWS Lambda. Amazon GuardDuty does not provide any disaster recovery benefits, as it is only a monitoring service5.

Reserved Instances (RIs)offer a significant discount (up to 75%) compared to On-Demand pricing in exchange for committing to use AWS for a period of 1 or 3 years. This pricing model is ideal for applications with predictable usage patterns or long-term commitments, such as critical production systems that will be running for at least 3 years.

A. On-Demand Instances: Incorrect, as they provide flexibility without commitment but are more expensive over the long term.

C. Spot Instances: Incorrect, as they offer the lowest cost for non-critical, interruptible workloads but are not suitable for critical production systems due to their potential for sudden termination.

D. AWS Free Tier: Incorrect, as it provides limited free usage for certain AWS services for a short period (typically one year) and is not intended for long-term production workloads.

AWS Cloud References:

Amazon EC2 Reserved Instances

Understanding IAM Roles: IAM (Identity and Access Management) roles in AWS are designed to delegate access permissions without sharing long-term security credentials. This means applications and services can use temporary security credentials, which enhances security.

Why IAM Roles are Best Practice:

Least Privilege Principle: By using IAM roles, you can ensure that applications only have the minimum permissions they need to function, reducing the risk of unauthorized access.

Temporary Credentials: Roles provide temporary security credentials, which reduce the risk if they are compromised compared to long-term access keys.

Automated Rotation: Temporary credentials automatically expire and are rotated, which means you don’t have to manage the rotation manually.

How to Implement IAM Roles:

Create an IAM Role: In the AWS Management Console, navigate to IAM, and create a new role. Choose the type of trusted entity (e.g., EC2, Lambda).

Attach Policies: Attach the necessary policies to the role that define the permissions for accessing the S3 bucket.

Assign Role to Service: Attach the IAM role to your EC2 instances, Lambda functions, or other AWS services that need to access the S3 bucket.

Use AWS SDKs: When accessing S3 from your application, use the AWS SDKs to automatically assume the IAM role and obtain temporary credentials.

AWS Identity and Access Management (IAM)

IAM Roles

AWS provides an Attestation of Compliance (AOC) report for specific AWS services to assist companies in achieving Payment Card Industry Data Security Standard (PCI DSS) compliance in the cloud. This report demonstrates that AWS services meet the necessary PCI DSS requirements. AWS does not offer physical inspections of data centers by appointment, nor does it provide certifications for any application running on AWS. Additionally, AWS does not provide professional PCI compliance services; companies must manage their PCI compliance in their environment.

Amazon Elastic File System (Amazon EFS)is a scalable, fully managed, shared file storage service that is accessible from multiple Amazon EC2 instances. EFS is designed to provide highly available and durable file storage that can be mounted across multiple instances, making it ideal for shared file access.

Why other options are not suitable:

A. AWS Direct Connect: A network service to establish a dedicated network connection to AWS, not a file-sharing solution.

B. AWS Snowball Edge: A data transfer device for migrating data to and from AWS, not for ongoing file sharing.

C. AWS Backup: A service for centralized backup management, not for sharing files between EC2 instances.

AnIAM useris created when the company needs to provide unique credentials (username and password) to individuals who need access to the AWS Management Console or programmatic access (using access keys) to AWS services.

B. When the company creates AWS access credentials for individuals: Correct, as an IAM user is created to provide credentials for specific individuals.

D. When the company needs to add users to IAM groups: Correct, as IAM users can be added to groups to apply permissions and policies at a group level.

A. When an application that runs on Amazon EC2 instances requires access to other AWS services: Incorrect, as an IAM role is more appropriate for applications running on EC2 to assume temporary credentials.

C. When the company creates an application that runs on a mobile phone that makes requests to AWS: Incorrect, as using Cognito or a role with temporary credentials is more suitable.

E. When users are authenticated in the corporate network and want to be able to use AWS without having to sign in a second time: Incorrect, as this use case typically involves IAM roles combined with AWS Single Sign-On (SSO).

AWS Cloud References:

IAM Users and Groups

IAM Roles

AWS Key Management Service (AWS KMS) is designed to integrate with various AWS services to encrypt data at rest. It provides a secure and highly available service to create, control, and manage encryption keys used to encrypt your data. AWS Certificate Manager (ACM) is for managing SSL/TLS certificates, AWS Identity and Access Management (IAM) is for managing user access and permissions, and AWS Security Hub is for security monitoring and compliance, but none of these services provide data encryption at rest like AWS KMS.QUESTION NO: 298

A company has an AWS Business Support plan. The company needs to gain access to the AWS DDoS Response Team (DRT) to help mitigate DDoS events.

Which AWS service or resource must the company use to meet these requirements?

A. AWS Shield Standard

B. AWS Enterprise Support

C. AWS WAF

D. AWS Shield Advanced

Answer: D

AWS Shield Advanced provides enhanced protection against DDoS attacks and includes access to the AWS DDoS Response Team (DRT) to help mitigate complex DDoS events. AWS Shield Standard offers basic DDoS protection, which is included with AWS services, but does not provide access to the DRT. AWS WAF is a web application firewall, and AWS Enterprise Support is a premium support plan but does not specifically provide DDoS mitigation services or access to the DRT.

On-Demand Instances are the most cost-efficient pricing model for an uninterruptible workload that runs once a year for 24 hours. On-Demand Instances let you pay for compute capacity by the hour or second, depending on which instances you run. No long-term commitments or up-front payments are required. You can increase or decrease your compute capacity to meet the demands of your application and only pay the specified hourly rates for the instance you use1. This model is suitable for developing/testing applications with short-term or unpredictable workloads2. The other pricing models are not cost-efficient for this use case. Reserved Instances and Savings Plans require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. They provide significant discounts compared to On-Demand Instances, but they are not flexible or scalable for workloads that run only once a year12. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. They are recommended for applications that have flexible start and end times, or that are only feasible at very low compute prices12. Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware12. References: Amazon EC2 – Secure and resizable compute capacity – AWS, Amazon EC2 - How AWS Pricing Works

Understanding S3 Intelligent-Tiering: S3 Intelligent-Tiering is designed to optimize costs by automatically moving data to the most cost-effective access tier based on changing access patterns. It is ideal for data with unknown or unpredictable access patterns.

Why S3 Intelligent-Tiering is Cost-Effective:

Automatic Tiering: Moves data between two access tiers (frequent and infrequent access) based on changing access patterns, optimizing storage costs without performance impact.

No Retrieval Fees: Unlike other storage classes, there are no retrieval fees in Intelligent-Tiering, making it cost-effective for data with unpredictable access patterns.

Monitoring and Automation: Automatically monitors access patterns and transitions data, reducing the need for manual intervention.

When to Use S3 Intelligent-Tiering:

Unpredictable Access Patterns: Ideal for datasets where the access frequency cannot be determined or changes frequently.

Cost Optimization: For organizations looking to minimize storage costs without sacrificing performance or requiring manual intervention to move data between tiers.

Amazon S3 Intelligent-Tiering

Amazon S3 Storage Classes

The AWS Well-Architected Framework is a set of six pillars and lenses that help cloud architects design and run workloads in the cloud. The six pillars are: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Each pillar has a set of design principles and best practices that guide the architectural decisions. High availability is not a separate pillar, but a quality that can be achieved by applying the principles of the reliability pillar. Going global in minutes and continuous development are not pillars of the framework, but possible benefits of using AWS services and following the framework’s recommendations. References: AWS Well-Architected - Build secure, efficient cloud applications, AWS Well-Architected Framework, The 6 Pillars of the AWS Well-Architected Framework

For high performance computing (HPC) workloads, compute resources play a critical role in delivering the necessary processing power and efficiency. HPC workloads are typically computationally intensive, often requiring a large number of CPU cycles to solve complex problems. These workloads benefit most from instances that provide powerful processors and high clock speeds, which is whyCompute optimized instances (Answer B)are the best choice in this scenario.

Why Compute Optimized Instances (C Instances)?

Designed for Compute-Intensive Tasks: Compute optimized instances in Amazon EC2, such as the C6i or C5 series, are designed to offer high compute performance, low cost, and consistent CPU power. These instances are ideal for workloads like HPC, which require a high level of processing per second.

High Performance CPUs: The compute optimized instance family typically uses the latest-generation processors, such as AWS Graviton2 or Intel Xeon Scalable processors, which provide a higher number of virtual CPUs (vCPUs) and increased clock speeds compared to other instance types. This matches the need for HPC workloads to maximize throughput and minimize compute times.

Use Case Alignment: HPC workloads such as genomic research, computational fluid dynamics (CFD), financial modeling, and 3D rendering require high levels of CPU-bound tasks. Compute optimized instances provide the best CPU-to-memory ratio to handle these efficiently, leading to faster processing times and cost efficiency.

Comparison with Other Instance Types:

A. General Purpose Instances: These are versatile and balanced instances (e.g., T3 or M6i) that are suitable for various workloads but do not provide the specialized compute performance required for HPC. They offer a balanced mix of compute, memory, and networking but are not optimal for HPC workloads where computational power is critical.

C. Memory Optimized Instances: While these instances (e.g., R5, X1) are ideal for memory-intensive workloads such as in-memory databases (e.g., SAP HANA) or real-time data analytics, they do not provide the specialized compute power necessary for HPC tasks that require heavy CPU processing.

D. Storage Optimized Instances: These instances (e.g., I3, D3) are designed for workloads that need high disk throughput, like big data or transactional databases. While these are excellent for storage-heavy applications, they are not optimized for compute-intensive HPC workloads.

Amazon EC2 Compute Optimized Family (C Instances)

C6i Instances: Based on 3rd Gen Intel Xeon Scalable processors, C6i instances offer up to 15% better price/performance compared to previous generation C5 instances. These are ideal for high compute and HPC workloads.

C5 Instances: These are built for compute-intensive workloads like batch processing, distributed analytics, and high-performance web servers. They offer a high level of sustained CPU performance.

AWS Reference Links:

Amazon EC2 Instance Types

Amazon EC2 Compute Optimized Instances

HPC on AWS

In conclusion,Compute optimized instances (B)are the best choice for HPC workloads due to their high compute performance, optimized CPU architecture, and suitability for computationally intensive tasks.

AWS CloudShell is the service that provides command line access to AWS tools and resources directly from a web browser. AWS CloudShell is a browser-based shell that makes it easy to securely manage, explore, and interact with your AWS resources. It comes pre-authenticated with your console credentials and common development and administration tools are pre-installed, so no local installation or configuration is required. You can open AWS CloudShell from the AWS Management Console with a single click and start running commands and scripts using the AWS Command Line Interface (AWS CLI), Git, or SDKs. AWS CloudShell also provides persistent home directories with 1 GB of storage per AWS Region12. The other services do not provide command line access to AWS tools and resources directly from a web browser. AWS CloudHSM is a service that helps you meet corporate, contractual and regulatory compliance requirements for data security by using dedicated Hardware Security Module (HSM) appliances within the AWS Cloud3. Amazon WorkSpaces is aservice that provides a fully managed, secure Desktop-as-a-Service (DaaS) solution that runs on AWS4. AWS Cloud Map is a service that makes it easy for your applications to discover and connect to each other usinglogical names and attributes5. References: AWS CloudShell, AWS CloudShell – Command-Line Access to AWS Resources, AWS CloudHSM, Amazon WorkSpaces, AWS Cloud Map

TheAWS Cloud Development Kit (AWS CDK)currently supports multiple programming languages, includingPythonandTypeScript. These languages allow developers to define cloud infrastructure using familiar programming constructs. Python and TypeScript are among the first languages supported by AWS CDK, which also supports Java, C#, and JavaScript. This enables developers to use their existing programming skills and tools to define cloud infrastructure in code.

B. Swift: Incorrect, as Swift is not currently supported by AWS CDK.

D. Ruby: Incorrect, as Ruby is not currently supported by AWS CDK.

E. PHP: Incorrect, as PHP is not currently supported by AWS CDK.

AWS Cloud References:

AWS Cloud Development Kit (AWS CDK)

Amazon CloudFrontis a content delivery network (CDN) that helps deliver your website content globally with low latency by caching copies of your website content at edge locations around the world. This helps ensure that users receive content from the edge location closest to them, thereby reducing latency and improving user experience.

A. Amazon Route 53: Incorrect, as it is a DNS web service that routes users to the appropriate endpoint, but it does not cache content or reduce latency.

C. Elastic Load Balancing: Incorrect, as it distributes incoming application or network traffic across multiple targets, but does not cache content globally.

D. AWS Lambda: Incorrect, as it is a serverless compute service, not intended for content delivery.

AWS Cloud References:

Amazon CloudFront

AWS Trusted Advisoris a service that provides real-time guidance to help you provision your resources following AWS best practices. It offers checks in five categories: cost optimization, performance, security, fault tolerance, and service limits. By continuously monitoring the AWS environment, AWS Trusted Advisor helps ensure that additional developments, integrations, changes, and growth do not jeopardize the optimized infrastructure by providing ongoing optimization and security recommendations.

B. AWS Health Dashboard: Incorrect, as it provides personalized view of service health and status updates but does not offer continuous optimization and security advice.

C. Amazon Connect: Incorrect, as it is a contact center service, not related to infrastructure optimization or security.

D. AWS Systems Manager: Incorrect, as it provides operational insights and management for AWS resources but is not specifically focused on ongoing optimization and security checks.

AWS Cloud References:

AWS Trusted Advisor

An IAM credential report is a feature of AWS Identity and Access Management (IAM) that allows you to view and download a report that lists all IAM users in your account and the status of their various credentials, such as passwords, access keys, and MFA devices. You can use this reportto audit the security status of your IAM users and ensure that they follow the best practices for credential management1. References: 1: AWS Documentation - IAM User Guide - Getting credential reports for your AWS account

Spot Instances are a type of EC2 instance that let you bid on unused compute capacity, which AWS offers at a discount of up to 90% compared to On-Demand prices1. Spot Instances are suitable for fault-tolerant, stateless, or flexible applications that can handle interruptions2. Spot Instances can be interrupted with a two-minute warning when EC2 needs the capacity back3. The other options are not pricing models that will interrupt a running EC2 instance if capacity becomes temporarily unavailable

Agility is the AWS Cloud benefit that gives a company the ability to quickly deploy cloud resources to access compute, storage, and database infrastructures in a matter of minutes. Agility means that you can reduce the time to make IT resources available to your developers from weeks to just minutes, resulting in a dramatic increase in innovation and responsiveness1. AWS provides a range of services and tools that enable you to launch, scale, and manage your cloud applications with ease and speed, such as AWS CloudFormation, AWS Elastic Beanstalk, AWS CodeDeploy, and AWS Quick Starts2345. References:

Six advantages of cloud computing - Overview of Amazon Web Services

[AWS CloudFormation]

[AWS Elastic Beanstalk]

[AWS CodeDeploy]

AWS Quick Starts

AWS WAF is a web application firewall that helps protect web applications from common web exploits, such as SQL injection attacks. It allows customers to create custom rules that block malicious requests. AWS Shield is a managed service that protects against distributed denial of service (DDoS) attacks, not SQL injection attacks. Network ACLs and security groups are network-level security features that filter traffic based on IP addresses and ports, not web requests or SQL queries. References: [AWS WAF], [AWS Shield], [Network ACLs], [Security groups]

Amazon EC2 instance store provides temporary block-level storage for your EC2 instance. This storage is located on disks that are physically attached to the host computer. Instance store is ideal for temporary storage of information that changes frequently, such as buffers, caches, scratch data,and other temporary content. It can also be used to store temporary data that you replicate across a fleet of instances, such as a load-balanced pool of web servers. An instance store consists of one or more instance store volumes exposed as block devices. The size of an instance store as well as the number of devices available varies by instance type and instance size. The virtual devices for instance store volumes are ephemeral[0-23]. Instance types that support one instance store volume have ephemeral0. Instance types that support two or more instance store volumes have ephemeral0, ephemeral1, and so on. Instance store pricing Instance store volumes are included as part of the instance’s usage cost. The data on an instance store volume persists even if the instance is rebooted. However, the data does not persist if the instance is stopped, hibernated, or terminated. When the instance is stopped, hibernated, or terminated, every block of the instance store volume is cryptographically erased. Therefore, do not rely on instance store volumes for valuable, long-term data. If you need to retain the data stored on an instance store volume beyond the lifetime of the instance, you need to manually copy that data to more persistent storage, such as an Amazon EBS volume, an Amazon S3 bucket, or an Amazon EFS file system. There are some events that can result in your data not persisting throughout the lifetime of the instance. The following table indicates whether data on instance store volumes is persisted during specific events, for both virtualized and bare metal instances1. References: Amazon EC2 instance store - Amazon Elastic Compute Cloud

Amazon Lexis a service for building conversational interfaces into any application using voice and text. It provides the tools necessary to create, test, and publish intelligent chatbots that can be integrated with web applications to provide a conversational experience.

A. Amazon Textract: Incorrect, as it is a service for extracting text and data from documents, not for creating chatbots.

C. AWS Glue: Incorrect, as it is a data integration service used for preparing and transforming data.

D. Amazon Rekognition: Incorrect, as it is an image and video analysis service.

AWS Cloud References:

Amazon Lex

A network ACL (NACL) is an optional layer of security for your VPC that acts as a firewall for controlling traffic in and out of one or more subnets. You can create a network ACL and associate it with a subnet to apply rules that allow or deny traffic to or from the subnet. Network ACLs are stateless, meaning that they evaluate the source and destination IP addresses for both inbound and outbound traffic. You can also use network ACLs to block IP address ranges that are known to be malicious12.

The other options are not AWS services or tools that can be used to set up a firewall to control traffic going into and coming out of an Amazon VPC subnet. Security groups are another layer of security for your VPC that act as a firewall for your EC2 instances. Security groups are stateful, meaning that they automatically allow return traffic for allowed inbound traffic. Security groups can only filter traffic based on protocols, ports, and source or destination IP addresses, not on IP ranges3. AWS WAF is a web application firewall that helps protect your web applications from common web exploits. AWS WAF can filter web requests based on rules that you define, such as IP addresses, HTTP headers, HTTP body, or URI strings. AWS WAF does not apply to non-web traffic or to traffic within a VPC4. AWS Firewall Manager is a service that helps you centrally configure and manage firewall rules across your accounts and resources in AWS Organizations. You can use Firewall Manager to apply AWS WAF rules, AWS Network Firewall policies, and Amazon VPC security groups across your AWS accounts. AWS Firewall Manager does not provide a firewall service itself, but rather helps you manage other firewall services

Under the AWS shared responsibility model, AWS is responsible for the security "of" the cloud, which includes the physical infrastructure, networking, and hypervisor layer. The customer, however, is responsible for security "in" the cloud, which includes managing the security of their data, patching and maintaining their guest operating system and applications, and managing identity and access. The responsibilities of shredding disk drives, preventing packet capture at the hypervisor level, and physical monitoring are handled by AWS as part of its responsibility for security "of" the cloud.

AWS CloudTrail is a service that provides a record of actions taken by a user, role, or an AWS service in your AWS account. CloudTrail captures all API calls for AWS services as events, including calls from the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services. You can use CloudTrail to monitor, audit, and troubleshoot your AWS accountactivity34. AWS Trusted Advisor is a service that provides best practices recommendations for cost optimization, performance, security, and fault tolerance in your AWS account5. Amazon Inspector is a service that helps you improve the security and compliance of your applications deployed on AWS by automatically assessing them for vulnerabilities and deviations from best practices6. AWS X-Ray is a service that helps you analyze and debug your applications by collecting data about the requests that your application serves, and providing tools to view, filter, and gain insights into that data7. References: Logging AWS Audit Manager API calls with CloudTrail, Logging AWS Account Management API calls using AWS CloudTrail, Review API calls in your AWS account using CloudTrail, Monitor the usage of AWS API calls using Amazon CloudWatch, Which service enables customers to audit API calls in their AWS …

Amazon EC2 is the most suitable AWS service for this workload. Amazon EC2 provides secure, resizable compute capacity in the cloud. You can launch virtual servers, called instances, and configure them according to your needs. You can choose from different instance types, sizes, and families, and pay only for the resources you use. Amazon EC2 also offers features such as auto scaling, load balancing, security groups, and placement groups to optimize your performance, availability, and security1. Amazon EC2 is ideal for workloads that require consistent and reliable compute power, such as data processing, web hosting, gaming, and high-performance computing2. The other services are not suitable for this workload. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You pay only for the compute time you consume. Lambda is best for short-lived, stateless, and event-driven workloads that can becompleted in under 15 minutes3. AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services. CodeDeploy is not a compute service, but a tool to help you update your applications with minimal downtime4. AWS Wavelength is a service that delivers ultra-low latency applications for 5G devices. Wavelength embeds AWS compute and storage services at the edge of telecommunications providers’ 5G networks. Wavelength is designed for mobile edge computing, such as interactive gaming, video streaming, and augmentedreality. References: Amazon EC2, Amazon EC2 Use Cases, AWS Lambda, AWS CodeDeploy, [AWS Wavelength]

AWS CloudFormation is a service that allows you to model and provision your AWS resources using templates. You can define your infrastructure as code and automate the creation and update of your resources. AWS CloudFormation also supports nested stacks, change sets, and rollback features to help you manage complex and dynamic environments34. References:

AWS CloudFormation

AWS Certified Cloud Practitioner Exam Guide

AWS Snow Family is a group of devices that transport data in and out of AWS. AWS Snow Family devices are physical devices that can transfer up to exabytes of data. One exabyte is 1 000 000 000 000 megabytes. AWS Snow Family devices are designed for use in remote locations where internet connectivity is limited or unavailable. You can use these devices to collect and process data at the edge, and then ship them back to AWS for data upload. AWS Snow Family consists of three types of devices: AWS Snowcone, AWS Snowball, and AWS Snowmobile1234. References: 1: Edge Computing Devices, Secure Data Transfer - AWS Snow Family - AWS, 2: AWS Snow Family Documentation, 3: AWS Snow Family - W3Schools, 4: AWS Snow Family: Data Storage, Migration, and Computation

ASecurity Groupacts as a virtual firewall for your Amazon EC2 instances to control inbound and outbound traffic. It provides granular control over network connections to and from a specific EC2 instance or set of instances. Unlike Network ACLs, which operate at the subnet level, Security Groups operate at the instance level, allowing control over network traffic for individual instances.

A. Network ACL: Incorrect, as it controls traffic at the subnet level and not for individual instances.

B. AWS WAF: Incorrect, as AWS WAF is a web application firewall that helps protect web applications from common web exploits but is not designed for controlling instance-level traffic.

C. Route table: Incorrect, as route tables are used for network routing within a VPC and do not act as firewalls.

AWS Cloud References:

AWS Security Groups

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run DynamoDB, while customers are responsible for the security of their data and access to the database. Customers need to manage database access permissions, such as creating and managing AWS Identity and Access Management (IAM) policies and roles, and using encryption and key management options to protect their data123. References: 1: Shared Responsibility Model - Amazon Web Services (AWS), 2: Security in Amazon DynamoDB - Amazon DynamoDB, 3: AWS Shared Responsibility Model - Introduction to DevOps …

AWS Glue is a serverless data integration service designed to discover, prepare, move, and integrate data from multiple sources for data analytics and machine learning purposes. It provides a managed ETL (Extract, Transform, Load) service that is ideal for preparing and transforming data for analytics. AWS Data Exchange is used for finding and subscribing to third-party data, Amazon Athena is for querying data stored in Amazon S3 using SQL, and Amazon EMR is for big data processing using Apache Hadoop and Spark, but AWS Glue is specifically designed for data integration and preparation tasks.

The AWS Support plan that provides the full set of AWS Trusted Advisor checks at the lowest cost is theAWS Business Supportplan. The AWS Business Support plan includes access to the complete set of Trusted Advisor checks, which cover areas such as cost optimization, security, performance, fault tolerance, and service limits. This plan is specifically designed to support production workloads and includes 24/7 access to cloud support engineers, response times for impaired systems, and other enhanced technical support features.

AWS Developer Support, while more affordable, only provides limited Trusted Advisor checks, specifically around Service Limits and basic Security checks. Full access to all Trusted Advisor checks is only available with Business Support and higher-tier plans, such as Enterprise On-Ramp and Enterprise Support

Amazon DynamoDBis a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is designed to handle unstructured data, offers high durability, and provides easy querying capabilities using key-value or document data models, making it suitable for applications that continuously produce unstructured data.

Why other options are not suitable:

A. Amazon RDS: A relational database service that is more suited for structured data and SQL queries.

B. Amazon Aurora: A MySQL- and PostgreSQL-compatible relational database, also more suited for structured data.

C. Amazon QuickSight: A business intelligence service for data visualization, not for storing data.

 Elasticity in the AWS Cloud refers to the ability to acquire resources as you need them and release resources when you no longer need them. In the cloud, you want to do this automatically1. This means that you can rightsized resources as demand shifts, and you can easily procure resources when they are needed. Elasticity is not related to how quickly an Amazon EC2 instance can be restarted, the maximum amount of RAM an Amazon EC2 instance can use, or the pay-as-you-go billing model. These are aspects of scalability, performance, and cost, respectively2.

For more information on elasticity, you can refer to the following sources:

Elasticity - AWS Well-Architected Framework

Elastic - Reactive Systems on AWS

What is the difference between scalability and elasticity?

Reserved Instances and Savings Plans are the most cost-effective purchasing options for a compute workload that is steady, predictable, and uninterruptible. Reserved Instances provide a significant discount compared to On-Demand Instances, and Savings Plans offer flexible and consistent savings on EC2 usage. Both options require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. On-Demand Instances are suitable for short-term, irregular, or unpredictable workloads, but they are more expensive than Reserved Instances or Savings Plans. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. Dedicated Hosts and Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware. References: Instance purchasing options, Amazon EC2 Pricing, 4 Ways to Purchase Amazon EC2 Instances

AWS Fargateis a serverless compute engine for containers that allows users to run containers without having to manage the underlying infrastructure. Fargate eliminates the need for managing servers and reduces operational overhead, providing a fully managed, serverless approach to containerized applications. It helps avoid unplanned administration and operational costs and is ideal for companies migrating from on-premises container infrastructure.

Why other options are not suitable:

A. Amazon Connect: A service for cloud-based contact centers, not for container management.

C. Amazon Lightsail: Simplifies virtual private server (VPS) management but is not serverless or specialized for containers.

D. Amazon EC2: Provides virtual servers but requires more manual administration and is not serverless.

Amazon Elastic File System (Amazon EFS) is a fully managed, scalable, and serverless NFS (Network File System) file system specifically designed for use with AWS services and on-premises resources. It enables companies to create and configure file systems that can be accessed from multiple Amazon EC2instances simultaneously, making it ideal for use cases that require shared file storage for AWS compute services.

Why Amazon EFS Fits the Requirements:

Managed Service: Amazon EFS is a fully managed file storage service that simplifies the process of setting up and managing NFS file systems.

Scalability and Elasticity: EFS automatically scales to accommodate the storage needs of applications, without the need to provision or manage storage capacity.

NFS Compatibility: Amazon EFS natively supports the NFSv4 protocol, making it compatible with a wide range of applications and workloads that require NFS access.

Integration with AWS Compute Services: EFS integrates seamlessly with Amazon EC2 and other AWS services, providing a shared file storage solution across multiple instances and services within the AWS cloud environment.

Why Other Options Do Not Fit:

A. Amazon Elastic Block Store (Amazon EBS): While EBS provides block-level storage that can be attached to individual EC2 instances, it is not a file system, nor does it provide managed NFS file storage capabilities. EBS is designed for single-instance access rather than shared file access across multiple instances.

B. AWS Storage Gateway Tape Gateway: Tape Gateway is designed for archival purposes and allows companies to store virtual tape backups in Amazon S3 or Glacier. It does not support NFS file storage and is not intended for regular compute access.

C. Amazon S3 Glacier Flexible Retrieval: Amazon S3 Glacier is optimized for data archiving and long-term storage of infrequently accessed data, but it does not provide NFS file system capabilities, nor is it suitable for high-performance access needs associated with compute services.

For more details, you can refer to theAWS Cloud Practitioner Essentialscontent, specifically the modules onStorage Serviceswhere Amazon EFS is covered as the managed NFS file storage solution offered by AWS.

Amazon SageMakeris a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. It offers integrated Jupyter notebooks for data exploration, pre-built algorithms, and automatic model tuning to optimize hyperparameters.

Why other options are not suitable:

A. Amazon Personalize: A managed machine learning service that provides personalized recommendations, but does not offer the full suite of ML tools for building, training, and deploying models.

B. Amazon Comprehend: A natural language processing (NLP) service, not a general-purpose ML model building and deployment service.

C. Amazon Forecast: A managed service specifically for creating accurate forecasts using machine learning, not for general-purpose ML model development.

AWS Budgets is a service that allows you to set custom budgets for your AWS costs and usage, and receive alerts via email or Amazon SNS notifications if you exceed or are forecasted to exceed your budgeted amount1. You can create budgets based on different dimensions, such as service, linked account, tag, or purchase option, and define various types of alerts, such as actual, forecasted, or RI utilization alerts2. You can also configure custom actions to automatically execute remediation tasks or workflows when a budget threshold is breached3. AWS Budgets is the only service among the options that can send alerts to customers if custom spending thresholds are exceeded. The other options are not AWS services that provide this functionality.

AWS Software Development Kit (SDK) is a set of platform-specific building tools for developers. It allows developers to access AWS services from application code using familiar programming languages. It provides pre-built components and libraries that can be incorporated into applications, as well as tools to debug, monitor, and optimize performance2. References: What is SDK? - SDK Explained - AWS

One of the key advantages of cloud computing is the ability totrade fixed expenses (like data centers and physical servers) for variable expenses. With AWS, companies pay only for the compute power, storage, and other resources they use, rather than investing heavily in on-premises infrastructure upfront. This reduces capital expenditure and helps lower overall costs.

Why other options are not suitable:

A. Go global in minutes: Refers to the ability to quickly deploy applications around the world, but does not directly reduce upfront costs.

B. Increase speed and agility: Refers to the ability to quickly scale and deploy resources, but is not directly related to cost reduction.

C. Benefit from massive economies of scale: Refers to AWS's ability to lower costs by leveraging its scale, but the primary advantage for reducing upfront costs is moving from fixed to variable expenses.

Migration Evaluator is a cloud-based service that provides organizations with a comprehensive assessment of their current IT environment and estimates the cost savings and performance improvements that can be achieved by migrating to AWS. Migration Evaluator helps users build a data-driven business case for AWS by discovering over-provisioned on-premises instances,providing recommendations for cost-effective AWS alternatives, and analyzing existing licenses and cost comparisons of Bring Your Own License (BYOL) and License Included (LI) options

AWS CodeDeployis a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Lambda, and on-premises servers. CodeDeploy makes it easy to release new features, helps avoid downtime during application deployment, and handles the complexity of updating applications in a scalable and reliable manner.

Why other options are not suitable:

A. Amazon AppFlow: A service to automate data flows between AWS and SaaS applications, not for application deployment.

C. AWS PrivateLink: A service to securely access AWS services from your virtual private cloud (VPC), not related to application deployments.

D. Amazon EKS Distro: A Kubernetes distribution for running Kubernetes clusters, not specifically designed for automated deployments.

AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises. By providing local access to AWS managed infrastructure, AWS Outposts enables customers to build and run applications on premises using the same programming interfaces as in AWS Regions, while using local compute and storage resources for lower latency and local data processing needs. An Outpost is a pool of AWS compute and storage capacity deployed at a customer site. AWS operates, monitors, and manages this capacity as part of an AWS Region. You can create subnets on your Outpost and specify them when you create AWS resources such as EC2 instances, EBS volumes, ECS clusters, and RDS instances. Instances in Outpost subnets communicate with other instances in the AWS Region using private IP addresses, all within the same VPC. Outposts solutions allow you to extend and run native AWS services on premises, and isavailable in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments. With AWS Outposts, you can run some AWS services locally and connect to a broad range of services available in the local AWS Region2. AWS Outposts is a hybrid cloud deployment model that uses AWS Outposts as part of the application deployment infrastructure. Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud, and public cloud services with orchestration between the platforms. Hybrid cloud provides businesses with greater flexibility, more deployment options, and optimized costs. By using AWS Outposts, customers can benefit from the fully managed infrastructure, services, APIs, and tools of AWS on premises, while still having access to the full range of AWS services available in the Region for a truly consistent hybrid experience3. References: On-Premises Private Cloud - AWS Outposts Family - AWS, What is AWS Outposts? - AWS Outposts

Cost allocation tags are an AWS feature that allows for detailed tracking of cloud costs by tagging resources. These tags can be customized to represent departments, projects, or cost centers, enabling organizations to allocate and monitor expenses accurately. By using cost allocation tags, companies can create reports that break down costs by tag, providing granular insights into their cloud spending. This feature is critical for achieving detailed cost management and is a core part of AWS’s billing and cost management offerings.

Understanding Cost Optimization Recommendations: In AWS, cost optimization involves identifying ways to reduce costs while maintaining or improving performance and capacity.

Top-Level KPI - Estimated Monthly Saving:

Definition: This KPI provides an estimate of how much you can save per month by following the recommended actions.

Importance: It helps you quantify the potential cost savings from rightsizing, purchasing reserved instances, or optimizing resource usage.

Decision-Making: Provides a clear financial benefit to justify changes in your resource configurations.

How to Use Estimated Monthly Saving:

Access Recommendations: Navigate to the AWS Cost Management Console to view rightsizing recommendations.

Review Savings Estimates: Look at the estimated monthly savings for each recommendation to understand the potential financial impact.

Implement Recommendations: Prioritize actions based on the savings estimates to maximize cost reduction.

AWS Cost Management

AWS Rightsizing Recommendations

Reducing Costs with AWS Cloud:

Capacity Adjustment (B):

Elasticity: AWS allows you to scale your resources up or down based on demand, which means you only pay for what you use. This reduces the cost of over-provisioning resources.

Auto Scaling: Automatically adjusts compute capacity based on usage, ensuring cost efficiency.

Eliminating On-Premises Costs (E):

No Infrastructure Maintenance: By using AWS, businesses do not need to invest in physical infrastructure or handle maintenance, reducing both capital and operational expenditures.

Managed Services: AWS offers managed services that reduce the need for in-house technical staff to manage and maintain infrastructure.

AWS Cloud Economics Center

AWS Benefits

Understanding Operational Excellence: The Operational Excellence pillar of the AWS Well-Architected Framework focuses on running and monitoring systems to deliver business value and continuously improving supporting processes and procedures.

Key Concepts of Operational Excellence:

Small, Reversible Changes: Making changes in small, incremental steps allows for easier troubleshooting and rollback if issues arise.

Regular Updates: Regularly updating components ensures that systems stay up-to-date with the latest features, security patches, and performance improvements.

Automation: Implementing automation for deployments, updates, and monitoring to reduce human error and increase efficiency.

Continuous Improvement: Encouraging continuous learning and process improvement to enhance operational processes.

Implementing Operational Excellence:

Deployment Automation: Use CI/CD pipelines to automate deployments and ensure that changes can be rolled back if necessary.

Monitoring and Logging: Implement comprehensive monitoring and logging to track system health and performance.

Incident Response: Develop a robust incident response plan to handle issues quickly and efficiently.

Documentation and Training: Maintain thorough documentation and provide training to ensure teams can effectively manage and improve operations.

AWS Well-Architected Framework: Operational Excellence Pillar

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run Lambdafunctions, while customers are responsible for the security of their code and AWS IAM to the Lambda service and within their function1. Customers need to manage the code within the Lambda function, such as writing, testing, debugging, deploying, and updating the code, as well as ensuring that the code does not contain any vulnerabilities or malicious code that could compromise the security or performance of the function23. References: 2: AWS Lambda - Amazon Web Services (AWS), 3: AWS Lambda Documentation, 1: Amazon CLF-C02: What is customer responsibility under AWS … - PUPUWEB

Economies of scale are the cost advantages that result from increasing the scale of production or operation. In cloud computing, economies of scale are achieved by pooling resources and sharing them among multiple users, which reduces the unit cost of computing and storage. One of the benefits of economies of scale in cloud computing is increased speed and agility, which means the ability to deploy applications faster and respond to changing business needs more quickly. Cloud computing allows users to access computing resources on demand, without having to invest in expensive infrastructure or wait for lengthy provisioning processes. This enables users to scale up or down as needed, experiment with new ideas, and deliver value to customers faster123. References:

Economics of Cloud Computing - GeeksforGeeks

What is Cloud Economics? | VMware Glossary

ECONOMIES OF SCALE WITH CLOUD COMPUTING & SERVICES PRACTICE - IDC-Online

AWS serverless computing is a way of building and running applications without thinking about servers. AWS manages the infrastructure for you, so you don’t have to provision, scale, patch, or monitor servers. You only pay for the compute time you consume, and you can focus on your application logic instead of managing servers12. References: Serverless Computing – Amazon Web Services, AWS Serverless Computing, Benefits, Architecture and Use-cases - XenonStack

AWS Artifact is a service provided by AWS that offers on-demand access to AWS compliance reports, including the Payment Card Industry (PCI) reports. It is the primary tool for retrieving compliance reports such as Service Organization Control (SOC) reports, ISO certifications, and Payment Card Industry Data Security Standard (PCI DSS) reports.

To obtain these reports:

The company should log into the AWS Management Console and navigate to AWS Artifact.

From there, they can select and download the necessary compliance reports.

Why other options are not suitable:

A. Contact AWS Support: AWS Support is not needed to obtain these reports; they are readily available through AWS Artifact.

C. Download reports from AWS Security Hub: AWS Security Hub is a service that provides a comprehensive view of security alerts and compliance status, but it does not host or provide compliance reports like PCI DSS.

D. Contact an AWS technical account manager (TAM): While a TAM may assist in various AWS-related queries, they are not required to obtain PCI reports. AWS Artifact is designed for this purpose.

AWS Artifact is your go-to, central resource for compliance-related information that matters to you. It provides on-demand access to AWS’s security and compliance reports and select online agreements. Reports available in AWS Artifact include our Service Organization Control (SOC) reports, Payment Card Industry (PCI) attestation of compliance, and certifications from accreditation bodies across geographies and compliance verticals that validate the implementation and operating effectiveness of AWS security controls. Agreements available in AWS Artifact include the Business Associate Addendum (BAA) and the Nondisclosure Agreement (NDA). AWS Artifact helps you answer the most frequently asked security and compliance questions that AWS receives from its users. References: Compliance FAQ, Compliance Solutions Guide

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. You can start small with no commitments, and scale to petabytes for less than a tenth of the cost of traditional solutions. Amazon Redshift does not require manual hardware and software management, as AWS handles all the tasks such as provisioning, patching, backup, recovery, failure detection, and repair12. Amazon Redshift also offers serverless capabilities, which allow you to access and analyze data without any configurations or capacity planning. Amazon Redshift automatically scales the data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads3. Therefore, Amazon Redshift meets the requirements of the company, compared to the other options.

The other options are not suitable for the company’s requirements, because:

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. It is not designed for petabyte-scale data warehousing or analytics4.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It is not designed for petabyte-scale data warehousing or analytics5.

Amazon ElastiCache is a fully managed in-memory data store and cache service that supports Redis and Memcached. It is not designed for petabyte-scale data warehousing or analytics.

What is Amazon Redshift? - Amazon Redshift

Amazon Redshift Features - Amazon Redshift

Amazon Redshift Serverless - Amazon Redshift

What Is Amazon DocumentDB (with MongoDB compatibility)? - Amazon DocumentDB (with MongoDB compatibility)

What Is Amazon Neptune? - Amazon Neptune

[What Is Amazon ElastiCache for Redis? - Amazon ElastiCache for Redis]

Amazon RDS is a fully managed relational database service that supports several database engines, including PostgreSQL. Amazon RDS can run a managed PostgreSQL database that provides online transaction processing (OLTP), which is a type of database workload that handles frequent read and write operations on small amounts of data. Amazon RDS for PostgreSQL offers high performance, availability, scalability, security, and compatibility with the PostgreSQL community edition. Amazon RDS also provides automated backups, point-in-time recovery, encryption, monitoring, and maintenance for PostgreSQL databases. References:

Hosted PostgreSQL - Amazon RDS for PostgreSQL

OLTP Database, MySQL And PostgreSQL ManagedDatabase - Amazon Aurora

PostgreSQL options on AWS: Self- managed, managed, and serverless

AnApplication Load Balancer (ALB)is the best choice for distributing incoming HTTP/HTTPS traffic evenly across multiple Amazon EC2 instances. It operates at theapplication layer (Layer 7 of the OSI model) and is specifically designed to handle HTTP and HTTPS traffic, which is ideal for web applications.

Here is why the ALB is the correct choice:

Layer 7 Load Balancing: The ALB works at the application layer and provides advanced routing capabilities based on content. It can inspect the incoming HTTP requests and make decisions on how to route traffic to various backend targets, which include Amazon EC2 instances, containers, or Lambda functions. This is particularly useful for web applications where you need to make routing decisions based on HTTP headers, paths, or query strings.

HTTP and HTTPS Support: The ALB natively supports HTTP and HTTPS protocols, making it the ideal load balancer for web-based applications. It can efficiently manage and route these types of traffic and handle tasks such as SSL/TLS termination.

Health Checks: The ALB can continuously monitor the health of the registered EC2 instances and only route traffic to healthy instances. This ensures high availability and reliability of the web application.

Path-based and Host-based Routing: The ALB can route traffic based on the URL path or host header. This feature allows the same load balancer to serve multiple applications hosted on different domains or subdomains.

Integration with Auto Scaling: The ALB can integrate seamlessly with Amazon EC2 Auto Scaling. As the number of EC2 instances increases or decreases, the ALB automatically includes the new instances in its traffic distribution pool, ensuring even distribution of incoming requests.

WebSocket Support: It also supports WebSocket and HTTP/2 protocols, which are essential for modern web applications that require real-time, bidirectional communication.

Why other options are not suitable:

A. Amazon EC2 Auto Scaling: This service is used to automatically scale the number of EC2 instances up or down based on specified conditions. However, it does not provide load balancing capabilities. It works well with load balancers but does not handle the distribution of incoming traffic by itself.

C. Gateway Load Balancer: This is designed to distribute traffic to virtual appliances like firewalls, IDS/IPS systems, or deep packet inspection systems. It operates at Layer 3 (Network Layer) and is not ideal for distributing HTTP/HTTPS traffic to EC2 instances.

D. Network Load Balancer: This load balancer operates at Layer 4 (Transport Layer) and is designed to handle millions of requests per second while maintaining ultra-low latencies. It is best suited for TCP, UDP, and TLS traffic but does not provide advanced Layer 7 routing features required for HTTP/HTTPS traffic.

AWS Outposts is an AWS offering that brings AWS infrastructure and services to a customer's on-premises location. It allows companies to run AWS services locally while meeting any regulatory or compliance requirements to keep data or applications on-premises. Dedicated Instances are EC2 instances that run on hardware dedicated to a single customer but are still within AWS data centers. Amazon CloudFront is a CDN service, and AWS Fargate is a serverless compute engine for containers, neither of which meets the requirement for running an application on-premises.

Amazon Redshiftis a fully managed data warehouse service that enables users to analyze large amounts of data quickly and cost-effectively. It is designed specifically for online analytical processing (OLAP) and is optimized for complex queries against large datasets. Amazon Redshift uses columnar storage, data compression, and massively parallel processing (MPP) to handle petabyte-scale data warehouse environments.

A. Amazon RDS: Incorrect, as it is a managed relational database service for online transaction processing (OLTP) workloads, not specifically designed for data warehousing.

B. Amazon DynamoDB: Incorrect, as it is a NoSQL database service for fast and flexible data storage, not a data warehouse.

D. Amazon Aurora: Incorrect, as it is a MySQL- and PostgreSQL-compatible relational database designed for high performance and availability for OLTP workloads, not data warehousing.

AWS Cloud References:

Amazon Redshift

Understanding Performance Efficiency: This pillar of the AWS Well-Architected Framework focuses on using computing resources efficiently to meet system requirements and maintain that efficiency as demand changes and technologies evolve.

Key Aspects of Performance Efficiency:

Selection: Choose the right resources for the job. This includes using the most appropriate instance types, storage options, and database services.

Review: Regularly review your architecture to take advantage of the latest AWS services and features, and to ensure you're using the best possible resource for your needs.

Monitoring: Continuously monitor your system performance, gather metrics, and use those metrics to make informed decisions about scaling and performance optimization.

Trade-offs: Understand the trade-offs between various performance-related aspects, such as cost, latency, and durability, and make decisions that align with your business goals.

How to Implement Performance Efficiency:

Use Auto Scaling: Implement Auto Scaling to automatically adjust the number of resources based on the demand.

Choose Appropriate Storage Options: Select the right storage solution (e.g., S3, EBS, or EFS) based on performance and access patterns.

Optimize Networking: Utilize Amazon CloudFront, AWS Global Accelerator, and VPC to optimize your network performance.

Regular Review and Testing: Regularly review your architecture, test performance under various loads, and adjust configurations as needed.

AWS Well-Architected Framework

Performance Efficiency Pillar

One of the primary advantages of the AWS Cloud is the ability to provision resources on demand. Users no longer need to over-provision or guess the capacity needed for infrastructure, which helps optimizecosts and improve agility. AWS handles infrastructure scaling dynamically based on the actual usage. Options B, C, and D are incorrect as users do not maintain sole ownership of IT hardware or control of underlying infrastructure, and while they do maintain some control over the operating system in some cases, it is not an advantage specific to the cloud.

TheAWS Developer Supportplan is the lowest-cost AWS Support plan that provides basic guidance and technical support for running production workloads. It offers 24/7 access to AWS customer service, documentation, whitepapers, and access to a limited set of Trusted Advisor checks. This plan is ideal for non-critical workloads or early development phases but provides lower levels of support compared to the Business, Enterprise On-Ramp, and Enterprise plans.

B. Enterprise On-Ramp: Incorrect, as it is a higher-cost support plan designed for production workloads needing more guidance and technical support.

C. Enterprise: Incorrect, as it is the most expensive support plan, providing a Technical Account Manager and other premium support features.

D. Business: Incorrect, as it provides comprehensive support for production workloads but is more expensive than the Developer plan.

AWS Cloud References:

AWS Support Plans

AWS Global Accelerator is a service that improves network performance by sending traffic through the AWS worldwide network infrastructure. It uses the AWS global network to direct TCP or UDP traffic to a healthy application endpoint in the closest AWS Region to the client. This provides improvements in terms of latency, throughput, and jitter. Global Accelerator also introduces features such as TCP termination at the edge, jumbo frame support, and large receive side window and TCP buffers to optimize data transfer12. Route table, AWS Transit Gateway, and Amazon VPC are not services or features that improve network performance by sending traffic through the AWS worldwide network infrastructure. Route table is a resource that defines how traffic is routed within a VPC3. AWS Transit Gateway is a service that enables you to connect your VPCs and on-premises networks to a single gateway4. Amazon VPC is a service that lets you provision a logically isolated section of the AWS Cloud where you can launch AWS resources in a virtual network that you define5. References: Achieve up to 60% better performance for internet traffic with AWS Global Accelerator, Improving Performance on AWS and Hybrid Networks, Route tables, AWS Transit Gateway, Amazon Virtual Private Cloud (VPC)

AWS Organizations is the AWS service or feature that allows users to create new AWS accounts, group multiple accounts to organize workflows, and apply policies to groups of accounts. AWS Organizations enables users to centrally manage and govern their AWS environment across multiple accounts. Users can create organizational units (OUs) to group accounts based on their business needs, such as by function, project, or region. Users can also apply service control policies (SCPs) toOUs or individual accounts to define the permissions and restrictions for the AWS services and resources that they can access. AWS Organizations also offers features such as consolidated billing, account creation automation, and trusted access12. References:

AWS Organizations

What is AWS Organizations?

By implementingAWS CloudTrail, a company is adhering to the AWS Cloud design principle ofactivating traceability. AWS CloudTrail provides detailed logs of all API calls made in an AWS account, which helps monitor, troubleshoot, and detect unusual activity, thereby improving security and compliance. This supports the principle of "activating traceability" by enabling continuous monitoring and auditing of all actions and changes within the AWS environment.

B. Use serverless compute architectures: Incorrect, as this principle encourages the use of managed services that handle infrastructure, such as AWS Lambda, and is not directly related to CloudTrail.

C. Perform operations as code: Incorrect, as this principle emphasizes the use of code and automation for infrastructure management.

D. Go global in minutes: Incorrect, as this principle relates to the global deployment of applications and services.

AWS Cloud References:

AWS Well-Architected Framework

AWS CloudTrail

Amazon CloudWatch alarm is an AWS service or feature that can initiate an Amazon EC2 Auto Scaling action based on CPU utilization. Amazon CloudWatch is a monitoring and observability service that collects and tracks metrics, logs, events, and alarms for your AWS resources and applications. Amazon CloudWatch alarms are actions that you can configure to send notifications or automatically make changes to the resources you are monitoring based on rules that you define67.

Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create dynamic scaling policies that track a specific CloudWatch metric, such as CPU utilization, and define what action to take when the associated CloudWatch alarm is in ALARM. When the policy is in effect, Amazon EC2 Auto Scaling adjusts the group’s desired capacity up or down when the threshold of an alarm is breached89. References: 6: Cloud Monitoring - Amazon CloudWatch - AWS, 7: Amazon CloudWatch Documentation, 8: Dynamic scaling for Amazon EC2 Auto Scaling, 9: Amazon EC2 Auto Scaling Documentation

According to theAWS Shared Responsibility Model, AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud, including Amazon S3. This infrastructure includes hardware, software, networking, and facilities that run AWS services.

A. Configure an S3 Lifecycle policy: Incorrect, as configuring S3 Lifecycle policies to manage object lifecycle (e.g., transitioning objects to different storage classes or deleting them after a certain period) is the customer's responsibility.

B. Activate S3 Versioning: Incorrect, as enabling S3 Versioning is a customer responsibility for managing data protection.

C. Configure S3 bucket policies: Incorrect, as setting and managing S3 bucket policies to control access is the customer's responsibility.

AWS Cloud References:

AWS Shared Responsibility Model

Amazon S3

Amazon S3 is the AWS service that offers object storage. Object storage is a technology that stores and manages data in an unstructured format called objects. Each object consists of the data, metadata, and a unique identifier. Object storage is ideal for storing large amounts of unstructured data, such as photos, videos, email, web pages, sensor data, and audio files1. Amazon S3 provides industry-leading scalability, data availability, security, and performance for object storage2.

Amazon RDS is the AWS service that offers relational database storage. Relational database storage is a technology that stores and manages data in a structured format called tables. Each table consists of rows and columns that define the attributes and values of the data. Relational database storage is ideal for storing structured or semi-structured data, such as customer records, inventory, transactions, and analytics3.

Amazon Elastic File System (Amazon EFS) is the AWS service that offers file storage. File storage is a technology that stores and manages data in a hierarchical format called files and folders. Each file consists of the data and metadata, and each folder consists of files or subfolders. File storage is ideal for storing shared data that can be accessed by multiple users or applications, such as home directories, content repositories, media libraries, and configuration files4.

Amazon DynamoDB is the AWS service that offers NoSQL database storage. NoSQL database storage is a technology that stores and manages data in a flexible format called documents or key-value pairs. Each document or key-value pair consists of the data and metadata, and can have different attributes and values depending on the schema. NoSQL database storage is ideal for storing dynamic or unstructured data that requires high performance, scalability, and availability, such as web applications, social media, gaming, and IoT.

Amazon Personalize is a service that provides real-time personalized recommendations based on the user’s behavior, preferences, and context. It can also incorporate metadata such as product color and brand to generate more relevant recommendations. Amazon Comprehend is a natural language processing (NLP) service that can analyze text for entities, sentiments, topics, and more. Amazon Forecast is a service that provides accurate time-series forecasting based on machine learning. Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning.

 Deploying the application in multiple Availability Zones is the best way to ensure high availability for the application. Availability Zones are isolated locations within an AWS Region that are engineered to be fault-tolerant from failures in other Availability Zones. By deploying the application in multiple Availability Zones, the company can reduce the impact of outages and increase the resilience of the application. Deploying the application in a single Availability Zone, on AWS Direct Connect, or on Reserved Instances does not provide the same level of high availability as deploying the application in multiple Availability Zones. Source: Availability Zones

 S3 Glacier Deep Archive is Amazon S3’s lowest-cost storage class and supports long-term retention and digital preservation for data that may be accessed once or twice in a year. It is designed forcustomers — particularly those in highly-regulated industries, such as the Financial Services, Healthcare, and Public Sectors — that retain data sets for 7-10 years or longer to meet regulatory compliance requirements. Customers can store large amounts of data at a very low cost, and reliably access it with a wait time of 12 hours3.

 The AWS shared responsibility model describes the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the hardware, software, networking, and facilities that run AWS services. The customer is responsible for security in the cloud, which includes the customer data, applications, operating systems, and network and firewall configurations. Therefore, updating the guest operating system on Amazon EC2 instances is the customer’s responsibility2

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS provides the physical and environmental controls, the service and communications protection, and the awareness and training for its employees, while the customer provides the patch and configuration management, the identity and access management, the data encryption, and the firewall configuration for its resources3.

Under the AWS shared responsibility model, AWS is responsible for ensuring the security of the internal network in the AWS data centers, as well as the physical security of the hardware and facilities that run AWS services. AWS customers are responsible for configuring the security group rules that determine which ports are open on an EC2 Linux instance, patching the guest operating system with the latest security patches on EC2, and turning on server-side encryption for S3 buckets. Source: AWS Shared Responsibility Model

 AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. AWS Config can also track changes to your EC2 instances over time and provide a history report of the modifications. AWS Service Catalog, Amazon CloudWatch, and AWS Artifact are not the best services to meet this requirement. AWS Service Catalog is a service that allows you to create and manage catalogs of IT services that are approved for use on AWS. Amazon CloudWatch is a service that monitors your AWS resources and applications and provides metrics, alarms, dashboards, and logs. AWS Artifact is a service that provides on-demand access to AWS security and compliance reports and online agreements

Volume-based discounts are an AWS offering or benefit that can help the company optimize costs based on the amount of storage that the company uses. Volume-based discounts are discounts that AWS provides for some storage services, such as Amazon S3 and Amazon EBS, when the company stores a large amount of data. The more data the company stores, the lower the price per GB. For example, Amazon S3 offers six storage classes, each with a different price per GB. The price per GB decreases as the amount of data stored in each storage class increases

The AWS services that are supported by Savings Plans are:

Amazon EC2: Amazon EC2 is a service that provides scalable computing capacity in the AWS cloud. You can use Amazon EC2 to launch virtual servers, configure security and networking, and manage storage. Amazon EC2 is eligible for both Compute Savings Plans and EC2 Instance Savings Plans12.

Amazon SageMaker: Amazon SageMaker is a service that helps you build and deploy machine learning models. You can use Amazon SageMaker to access Jupyter notebooks, use common machine learning algorithms, train and tune models, and deploy them to a hosted environment. Amazon SageMaker is eligible for SageMaker Savings Plans13.

The other options are not supported by Savings Plans. Amazon RDS, Amazon Redshift, and Amazon DynamoDB are database services that are eligible for Reserved Instances, but not Savings Plans4.

On-Demand Instances are the default pricing model for Amazon EC2 instances. They allow users to pay for compute capacity by the second, with no long-term commitments or upfront payments. They are suitable for applications with short-term, irregular, or unpredictable workloads that cannot beinterrupted3. Savings Plans are a pricing model that offer significant savings on Amazon EC2 and AWS Fargate usage, in exchange for a commitment to a consistent amount of usage (measured in $/hour) for a 1-year or 3-year term. Spot Instances are a pricing model that offer spare Amazon EC2 compute capacity at up to 90% discount compared to On-Demand prices, but they can be interrupted by AWS with a two-minute notice when the demand exceeds the supply. Reserved Instances are a pricing model that offer up to 75% discount compared to On-Demand prices, in exchange for a commitment to use a specific instance type and size in a specific region for a 1-year or 3-year term.

AWS Budgets is a tool that allows users to set AWS spending targets and track costs against those targets. Users can create budgets for various dimensions, such as service, linked account, tag, and more. Users can also receive alerts when the actual or forecasted costs exceed or are projected to exceed the budgeted amount. AWS Cost Explorer, AWS Cost and Usage Report, and Savings Plans are other AWS tools or features that can help users manage and optimize their AWS costs, but they do not enable users to set and track spending targets .

Pay-as-you-go pricing is one of the main benefits of AWS. With pay-as-you-go pricing, you pay only for what you use, when you use it. There are no long-term contracts, termination fees, or complex licensing. You replace upfront expenses with lower variable costs and pay only for the resources you consume.

Amazon Elastic File System (Amazon EFS) provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth. Amazon EFS offers two storage classes: the Standard storage class, and the Infrequent Access storage class (EFS IA). EFS IA provides price/performance that is cost-optimized for files not accessed every day. Amazon EFS encrypts data at rest and in transit, and supports direct access over the internet4.

 A and B are correct because AWS CodeCommit is the AWS service that provides a fully managed source control service that hosts secure Git-based repositories1, and AWS CodeDeploy is the AWS service that automates code deployments to any instance, including Amazon EC2 instances and servers running on-premises2. These two services can be used together to store source code and update the running software when the code changes. C is incorrect because Amazon DynamoDB is the AWS service that provides a fully managed NoSQL database service that supports key-value and document data models3. It is not related to storing source code or updating software. D is incorrect because Amazon S3 is the AWS service that provides object storage through a web service interface4. It can be used to store source code, but it does not provide source control features or update software. E is incorrect because Amazon Elastic Container Service (Amazon ECS) is the AWS service that allows users to run, scale, and secure Docker container applications. It can be used to deploy containerized software, but it does not store source code or update software.

Amazon Lightsail is an easy-to-use cloud platform that offers you everything needed to build an application or website, plus a cost-effective, monthly plan. Whether you’re new to the cloud or looking to get on the cloud quickly with AWS infrastructure you trust, we’ve got you covered. Lightsail provides the simplest way for the company to establish a website on AWS.

 The AWS Well-Architected Framework helps you understand the pros and cons of decisions you make while building systems on AWS. By using the Framework, you will learn architectural best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The Framework consists of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization2.

The AWS Enterprise Support Concierge team is a group of billing and account experts who specialize in working with enterprise customers. They can help customers with questions about billing, account management, cost optimization, and other non-technical issues. They can also assist customers with navigating and optimizing their AWS environment, such as setting up consolidated billing, applying for service limit increases, or requesting refunds.

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. DynamoDB provides the least operational overhead for storing data from a recommendation engine, as it does not require any server provisioning, patching, or maintenance3

AWS CloudTrail is the AWS service that can identify when an Amazon EC2 instance was terminated. AWS CloudTrail is a service that records API calls and events for AWS accounts and resources. AWS CloudTrail can capture the TerminateInstances event, which is triggered when an EC2 instance is terminated by a user or an AWS service. The event contains information such as the instance ID, the user identity, the source IP address, the time, and the reason for the termination12. Customers can use the CloudTrail console, the AWS CLI, or the AWS SDKs to viewand search for the TerminateInstances events in their event history or in their S3 buckets where they store their CloudTrail logs13.

AWS Organizations is a service that helps you centrally manage and govern your AWS environment. You can use AWS Organizations to create multiple accounts for different business units, and group them into organizational units (OUs) that reflect your organizational structure1. By doing so, you can separate and track costs for each business unit using the account ID as a cost allocation tag2. You can also use AWSOrganizations to apply policies and controls to your accounts, such as service control policies (SCPs) and tag policies1.

The other options are not suitable for meeting the requirements with the least operational overhead. Using a spreadsheet or a DynamoDB table to control and record costs for each business unit would require manual data entry and maintenance, which is prone to errors and inconsistencies. Using the AWS Billing console to assign owners to resources and track costs would also require manual tagging of each resource, which is time-consuming and inefficient.

1: What Is AWS Organizations? - AWS Organizations

2: Cost Tagging and Reporting with AWS Organizations | AWS Cloud Financial Management

 AWS Shield Advanced is a managed Distributed Denial of Service (DDoS) protection service that safeguards applications running on AWS. AWS Shield Advanced provides you with 24x7 access to the AWS DDoS Response Team (DRT) and protection against DDoS attacks of any size or duration. AWS Shield Advanced also provides near real-time visibility into attacks, advanced attack mitigation capabilities, and integration with AWS WAF and AWS Firewall Manager1. AWS Shield is a standard service that provides always-on detection and automatic inline mitigations to minimize application downtime and latency, but it does not offer the same level of features and support as AWS Shield Advanced2. Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior, but it does not provide DDoS protection3. Network ACLs are stateless filters that can be associated with a subnet to control the traffic to and from the subnet, but they are not designed to protect against DDoS attacks

A is correct because Amazon Lex is the AWS service that helps users build conversational interfaces into applications using voice and text. B is incorrect because Amazon Transcribe is the AWS service that helps users convert speech to text. C is incorrect because Amazon Comprehend is the AWS service that helps users analyze text using natural language processing. D is incorrect because Amazon Timestream is the AWS service that helps users collect, store, and process time series data.

 AWS Elastic Beanstalk, Amazon Aurora, and AWS Auto Scaling are managed services that reduce the operational overhead for the customers. AWS is responsible for security patching, backups, and termination of these services. However, the customers are still responsible for configuring IAM access controls to manage the permissions and policies for their AWS resources. This is part of the AWS shared responsibility model, which defines the security and compliance responsibilities of AWS and the customers. You can learn more about the AWS shared responsibility model from this whitepaper or this digital course.

AWS Elastic Beanstalk is the AWS service that allows customers to deploy applications in the AWS Cloud as quickly as possible. AWS Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, and auto-scaling to application health monitoring. Customers can upload their code and Elastic Beanstalk will take care of the rest1. AWS Elastic Beanstalk also minimizes the complexity that is related to the management of AWS resources. Customers can retain full control of the underlying AWS resources powering their applications and adjust the settings to suittheir needs1. Customers can also use the AWS Management Console, the AWS Command Line Interface (AWS CLI), or APIs to manage their applications1.

AWS Config is the AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the resources and evaluates them against desired configurations or best practices2. AWS Config does not help customers deploy applications in the AWS Cloud as quickly as possible or minimize the complexity that is related to the management of AWS resources.

Amazon EC2 is the AWS service that provides secure, resizable compute capacity in the cloud. Customers can launch virtual servers called instances and choose from various configurations of CPU, memory, storage, and networking resources3. Amazon EC2 does not automatically handle the deployment or management of AWS resources for customers. Customers have to manually provision, configure, monitor, and scale their instances and other related resources.

Amazon Personalize is the AWS service that enables customers to create personalized recommendations for their users based on their behavior and preferences. Amazon Personalize uses machine learning to analyze data and deliver real-time recommendations4. Amazon Personalize does not help customers deploy applications in the AWS Cloud as quickly as possible or minimize the complexity that is related to the management of AWS resources.

S3 Access Points are a feature of Amazon S3 that allows you to easily manage access to specific data that is hosted in S3 buckets. S3 Access Points are unique hostnames that customers can use to access data in S3 buckets. You can create multiple access points for a single bucket, each with its own name and permissions. You can use S3 Access Points to provide different levels of access to different groups of customers, such as read-only or write-only access. You can also use S3 Access Points to enforce encryption or logging requirements for specific data. S3 Access Points help you keep control over the full datasets that you share with your customers, while simplifying the access management and improving the performance and scalability of your applications.

AWS Professional Services is a team of experts that help customers achieve their desired outcomes using the AWS Cloud. One of the benefits that AWS Professional Services provides is advisory solutions for AWS adoption, which include guidance on cloud strategy, architecture, migration, and innovation2. Management of the ongoing security of user data, technical support 24 hours a day, 7days a week, and monitoring of monthly billing costs in AWS accounts are not benefits that AWSProfessional Services provides, as they are either the responsibility of the customer or the features of other AWS services or support plans3

 The AWS Cloud Adoption Framework (AWS CAF) helps organizations understand how cloud adoption transforms the way they work, and it provides structure to identify and address gaps in skills and processes. The AWS CAF organizes guidance into six areas of focus, called perspectives. Each perspective reflects a different stakeholder viewpoint with its own distinct responsibilities, skills, and attributes. The Security Perspective helps you structure the selection and implementation of security controls that meet your organization’s needs2.

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, which includes the virtualization layer down to the physical security of the facilities in which AWSservices operate1. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use1.

 The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The framework consists of five pillars: operational excellence, performance efficiency, reliability, security, and cost optimization. The security pillar covers the AWS shared responsibility model, which defines the security and compliance responsibilities of AWS and the customers. You can learn more about the AWS Well-Architected Framework from [this whitepaper] or [this digital course].

AWS Network Firewall is a managed service that makes it easy to deploy essential network protections for all of your Amazon Virtual Private Clouds (VPCs). The service can be set up with just a few clicks from the AWS console or using APIs. AWS Network Firewall automatically scales with your network traffic, so you don’t have to worry about deploying and managing any infrastructure. AWS Network Firewall provides protection from common network threats such as SQL injection, cross-site scripting, and DDoS attacks1.

AWS Database Migration Service (AWS DMS) is a managed and automated service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS DMS supports migration between 20-plus database and analytics engines, such as PostgreSQL, Oracle, MySQL, SQL Server, MongoDB, Amazon Aurora, Amazon RDS, Amazon Redshift, and Amazon S3. AWS DMS also provides schema conversion and validation tools, as well as monitoring and security features. AWS DMS is a cost-effective and reliable solution for database migration, as you only pay for the compute resources and additional log storage used during the migration process, and you can minimize the downtime and data loss with Multi-AZ and ongoing replication12

To migrate a PostgreSQL database from on-premises to Amazon RDS using AWS DMS, you need to perform the following steps:

Create an AWS DMS replication instance in the same AWS Region as your target Amazon RDS PostgreSQL DB instance. The replication instance is a server that runs the AWS DMS replication software and connects to your source and target endpoints. You can choose the instance type, storage, and network settings based on your migration requirements3

Create a source endpoint that points to your on-premises PostgreSQL database. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as required4

Create a target endpoint that points to your Amazon RDS PostgreSQL DB instance. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as verify-full.

Create a migration task that defines the migration settings and options, such as the replication instance, the source and target endpoints, the migration type (full load, full load and change data capture, or change data capture only), the table mappings, the task settings, and the task monitoring role. You can also use the AWS Schema Conversion Tool (AWS SCT) to convert your source schema to the target schema and apply it to the target endpoint before or after creating the migration task.

Start the migration task and monitor its progress and status using the AWS DMS console, the AWS CLI, or the AWS DMS API. You can also use AWS CloudFormation to automate the creation and execution of the migration task.

The other options are not suitable for migrating a PostgreSQL database from on-premises to Amazon RDS. Cloud Adoption Readiness Tool is a tool that helps you assess your readiness for cloud adoption based on six dimensions: business, people, process, platform, operations, and security. It does not perform any database migration tasks. AWS Migration Hub is a service that helps you track and manage the progress of your application migrations across multiple AWS and partner services, such as AWS DMS, AWS Application Migration Service, AWS Server Migration Service, and CloudEndure Migration. It does not perform any database migration tasks itself, but rather integrates with other migration services. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. It does not support database migration, but rather replicates your servers as Amazon Machine Images (AMIs) and launches them as EC2 instances on AWS.

 AWS Database Migration Service, What is AWS Database Migration Service?, Working with an AWS DMS replication instance, Creating source and target endpoints for PostgreSQL, [Creating a target endpoint for Amazon RDS for PostgreSQL], [Creating a migration task for AWS DMS], [AWS Schema Conversion Tool], [Starting a migration task for AWS DMS], [AWS CloudFormation], [Cloud Adoption Readiness Tool], [AWS Migration Hub], [AWS Application Migration Service]

 To make a subnet public, the company should use an Amazon VPC internet gateway and an Amazon VPC route table. An internet gateway is a horizontally scaled, redundant, and highly available VPC component that allows communication between your VPC and the internet. A route table contains a set of rules, called routes, that are used to determine where network traffic from your subnet or gateway is directed. To enable internet access for a subnet, you need to attach an internet gateway to your VPC and add a route to the internet gateway in the route table associated with the subnet.

Amazon RDS is a managed database service that handles most of the common database administration tasks, such as hardware provisioning, server maintenance, backup and recovery, patching, scaling, and replication. However, Amazon RDS does not optimize the application that interacts with the database. The company is stillresponsible for tuning the performance, security, and availability of the application according to its business requirements and best practices12.

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly’s Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech1. Amazon Polly supports dozens of languages and a wide range of natural-sounding voices. You can customizeand control the speech output by using lexicons and SSML tags. You can also store and redistribute the speech output in standard audio formats like MP3 and OGG2.

Amazon Transcribe is a service that converts speech to text, enabling you to create text transcripts from audio or video files. It can recognize multiple speakers, different languages, accents, dialects, and background noises. It can also add punctuation and formatting to the transcripts. Amazon Transcribe is useful for applications such as subtitling, captioning, transcription, and voice search.

Amazon Rekognition is a service that provides image and video analysis using computer vision and deep learning. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. It can also perform face recognition, face comparison, face search, celebrity recognition, and facial analysis. Amazon Rekognition is useful for applications such as security, social media, e-commerce, and media and entertainment.

Amazon Textract is a service that extracts text and data from scanned documents using optical character recognition (OCR) and machine learning. It can identify the contents of fields in forms and tables, as well as the relationships between them. It can also preserve the layout and structure of the original document. Amazon Textract is useful for applications such as data entry, document management, compliance, and analytics.

AWS Site-to-Site VPN and AWS Direct Connect are AWS services that are connectivity services for a VPC. AWS Site-to-Site VPN is a service that enables you to securely connect your on-premises network or branch office site to your Amazon Virtual Private Cloud (Amazon VPC). You can establish VPN connections over the internet or over AWS Direct Connect1. AWS Direct Connect is a service that lets you establish a dedicated network connection between your network and one of the AWS Direct Connect locations. Using AWS Direct Connect, you can create a private connection between AWS and your datacenter, office, or colocation environment, which can reduce your network costs,increase bandwidth throughput, and provide a more consistent network experience than internet-based connections2. Amazon Connect is a service that lets you set up and manage a contact center in the cloud, but it does not provide network connectivity between the VPC and your on-premises network. AWS Key Management Service (AWS KMS) is a service that makes it easy for you to create and manage cryptographic keys and control their use across a wide range of AWS services and inyour applications, but it does not provide network connectivity between the VPC and your on-premises network. AWS Identity and Access Management (IAM) is a service that enables you to manage access to AWS services and resources securely, but it does not provide network connectivity between the VPC and your on-premises network.

AWS Application Discovery Service is a service that helps you plan your migration to the AWS Cloud by collecting usage and configuration data about your on-premises servers and databases. This data includes information such as the hostname, IP address, and MAC address of each server, as well as the performance metrics, network connections, and processes running on them. You can use AWS Application Discovery Service to discover your on-premises inventory, map the dependencies between servers and applications, and estimate the cost and effort of migrating to AWS. You can also export the data to other AWS services, such as AWS Migration Hub and AWS Database Migration Service, to support your migration tasks. AWS Application Discovery Service offers two ways of performing discovery: agentless discovery and agent-based discovery. Agentless discovery uses a virtual appliance that you deploy on your VMware vCenter to collect data from your virtual machines and hosts. Agent-based discovery uses an agent that you install on each of your physical or virtual servers to collect data. You can choose the method that best suits your environment and needs. AWS DataSync is a service that helps you transfer data between your on-premises storage and AWS storage services, such as Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server. AWS DataSync does not collect information about your on-premises infrastructure, but rather focuses on optimizing the data transfer speed, security, and reliability. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. AWS Application Migration Service does not collect information about your on-premises infrastructure, but rather uses a lightweight agent to replicate your servers as Amazon Machine Images (AMIs) and launch them as EC2 instances on AWS. AWS Database Migration Service is a service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS Database MigrationService does not collect information about your on-premises infrastructure, but rather uses a source and a target endpoint to connect to your databases and transfer the data. References: AWS Application Discovery Service, AWS DataSync, AWS Application Migration Service, [AWS Database Migration Service]

 B is correct because Reserved Instances are the instance purchasing option that offers the most cost-effective way to use Amazon EC2 instances for a stable production workload that will run for 1 year, as they provide significant discounts compared to On-Demand Instances in exchange for a commitment to use a specific amount of computing power for a period of time. A is incorrect because Dedicated Hosts are the instance purchasing option that allows customers to use physical servers that are fully dedicated to their use, which is more expensive and less flexible than Reserved Instances. C is incorrect because On-Demand Instances are the instance purchasing option that allows customers to pay for compute capacity by the hour or second with no long-term commitments, which is more suitable for short-term, variable, and unpredictable workloads. D is incorrect because Spot Instances are the instance purchasing option that allows customers to bid on spare Amazon EC2 computing capacity, which is more suitable for flexible, scalable, and fault-tolerant workloads that can tolerate interruptions.

IAM access keys are long-term credentials that consist of an access key ID and a secret access key. You use access keys to sign programmatic requests that you make to AWS. If you need to access AWS services from an on-premises application, you can use IAM access keys to authenticate your requests. AWS account user name and password are used to sign in to the AWS Management Console. Amazon EC2 key pairs are used to connect to your EC2 instances using SSH. AWS Key Management Service (AWS KMS) keys are used to encrypt and decrypt your data using the AWS Encryption SDK or the AWS CLI.

Amazon EC2 is an AWS service that provides scalable, secure, and resizable compute capacity in the cloud. Amazon EC2 allows customers to launch and manage virtual servers, called instances, that run a variety of operating systems and applications. Customers have full control over the configuration and management of their instances, including the guest operating system. Therefore, customers are responsible for updating and patching the guest operating system on their EC2 instances, as well as any other software or utilities installed on the instances. AWS provides tools and services, such as AWS Systems Manager and AWS OpsWorks, to help customers automate and simplify the patching process. References: Shared Responsibility Model, Shared responsibility model, [Amazon EC2]

AWS Business Support is the most cost-effective AWS Support plan that provides chat access to a cloud support engineer 24/7. AWS Business Support also offers phone and email support, as well as a response time of less than one hour for urgent issues. AWS Business Support does not include access to infrastructure event management, which is a feature of AWS Enterprise Support. AWS Enterprise Support is more expensive and provides additional benefits, such as a technical account manager, a support concierge, and a response time of less than 15 minutes for critical issues. AWS Developer Support and AWS Basic Support do not provide chat access to a cloud support engineer. AWS Developer Support provides email support and a response time of less than 12 hours for general guidance issues. AWS Basic Support provides customer service and account support, as well as access to forums and documentation1

AWS CodePipeline is a continuous delivery and deployment service that automates the release process of software applications across different stages, such as source code, build, test, and deploy2. AWSAppSync, AWS Cloud9, and AWS CodeCommit are other AWS services related to application development, but they do not provide continuous delivery and deployment solutions34 .

AWS Key Management Service (AWS KMS) is a managed service that enables you to easily encrypt your data. AWS KMS provides you with centralized control of the encryption keys used to protect your data. You can use AWS KMS to encrypt data in Amazon RDS and Amazon EBS volumes12

Reserved Instances are a pricing model that offers significant discounts on Amazon EC2 usage compared to On-Demand Instances. Reserved Instances are suitable for stateful workloads that have predictable and consistent usage patterns for a long-term period. By committing to a one-year or three-year term, customers can reduce their total cost of ownership and optimize their cloud spend. Reserved Instances also provide capacity reservation, ensuring that customers have access to the EC2 instances they need when they need them. References: AWS Pricing Calculator, Amazon EC2 Pricing, [AWS Cloud Practitioner Essentials: Module 3 - Compute in the Cloud]

AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience1. AWS Outposts enables customers to run workloads on premises using the same AWS APIs, tools, and services that they use in the cloud2. Dedicated Hosts are physical servers with EC2 instance capacity fully dedicated to a customer’s use3. Availability Zones are one or more discrete data centers, each with redundant power, networking, and connectivity, housed in separate facilities within an AWS Region4. AWS Wavelength is an AWS Infrastructure offering optimized for mobile edge computing applications.

Service control policies (SCPs) are a type of organization policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization’s access control guidelines2. SCPs are available only in an organization that has all features enabled2.

 AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. You can use AWS Secrets Manager to store, rotate, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. AWS Secrets Manager eliminates the need to hardcode sensitive information in plain text, and reduces the risk of unauthorized access or leakage. AWS Secrets Manager also integrates with other AWS services, such as AWS Lambda, Amazon RDS, and AWS CloudFormation, to simplify the management of secrets across your environment5

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. With the cloud, the collection and aggregation of account and network activities is simplified, but it can be time consuming for security teams to continuously analyze event log data for potential threats. With GuardDuty, you can automate anomaly detection and get actionable findings to help you protect your AWS resources4.

AWS Cost Explorer is the AWS service or tool that helps users visualize, understand, and manage spending and usage over time. AWS Cost Explorer is a web-based interface that allows users to access interactive graphs and tables that display their AWS costs and usage data. Users can create custom reports that analyze cost and usage data by various dimensions, such as service, region, account, tag, and more. Users can also view historical data for up to the last 12 months, forecast future costs for up to the next 12 months, and get recommendations for cost optimization. AWS Cost Explorer also provides preconfigured views that show common cost and usage scenarios, such as monthly spend by service, daily spend by linked account, and Reserved Instance utilization. Users can use AWS Cost Explorer to monitor their AWS spending and usage trends, identify cost drivers and anomalies, and optimize their resource allocation and budget planning. References: Cloud Cost Analysis - AWS Cost Explorer - AWS, Analyzing your costs with AWS Cost Explorer

AWS Business Support is the minimum recommended tier for users who have production workloads on AWS. AWS Business Support provides 24x7 access to cloud support engineers via phone, chat, or email, as well as a guaranteed response time of less than one hour for urgent issues. AWS Business Support also includes access to AWS Trusted Advisor, a tool that provides real-time guidance to help you provision your resources following AWS best practices4.

AWS Migration Hub is a service that provides a single location to track the progress of application migrations across multiple AWS and partner solutions. It allows you to choose the AWS and partner migration tools that best fit your needs, while providing visibility into the status of migrations across your portfolio of applications1. AWS Migration Hub supports migration status updates from the following tools: AWS Application Migration Service, AWS Database Migration Service, CloudEndure Migration, Server Migration Service, and Migrate for Compute Engine1.

The other options are not correct for the following reasons:

AWS Application Discovery Service is a service that helps you plan your migration projects by automatically identifying servers, applications, and dependencies in your on-premises data centers2. It does not track the progress of application migrations, but rather provides information to help you plan and scope your migrations.

AWS Application Migration Service is a service that helps you migrate and modernize applications from any source infrastructure to AWS with minimal downtime and disruption3. It is one of the migration tools that can send status updates to AWS Migration Hub, but it is not the service that provides a single location to track the progress of application migrations.

AWS Service Catalog is a service that allows you to create and manage catalogs of IT services that are approved for use on AWS4. It does not track the progress of application migrations, but rather helps you manage the provisioning and governance of your IT services.

1: What Is AWS Migration Hub? - AWS Migration Hub

2: What Is AWS Application Discovery Service? - AWS Application Discovery Service

3: App Migration Tool - AWS Application Migration Service - AWS

4: What Is AWS Service Catalog? - AWS Service Catalog

The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating workloads on AWS. It helps customers achieve operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The framework is based on six pillars, each with its own design principles, best practices, and questions. Customers can use the framework to assess their current state, identify gaps, and implement improvements12.

AWS Support is a service that provides technical assistance, guidance, and resources for AWS customers. It offers different plans with varying levels of access to AWS experts, response times, and features3. AWS Support does not provide a comprehensive framework for operational support.

AWS Cloud Adoption Framework (AWS CAF) is a guidance tool that helps customers plan and execute their cloud migration journey. It provides a set of perspectives, capabilities, and best practices to align the business and technical aspects of cloud adoption4. AWS CAF does not focus on operational support for existing workloads on AWS.

AWS Managed Services (AMS) is a service that operates AWS infrastructure on behalf of customers. It provides a secure and compliant environment, automates commonactivities, and applies best practices for provisioning, patching, backup, recovery, and monitoring5. AMS does not provide a framework for customers to operate their own workloads on AWS.

AWS Budgets is a service that helps you plan your service usage, service costs, and instance reservations, and track how close your plan is to your budgeted amount. You can set custom budgets that alert you when you exceed (or are forecasted to exceed) your budgeted thresholds. You can also use AWS Budgets to set a maximum spending limit on AWS services each month and set up alerts for when you reach your spending limit. Cost Explorer is a service that enables you to visualize, understand, and manage your AWS costs and usage over time. You can use Cost Explorer to view charts and graphs that show how your costs are trending, identify areas that need further inquiry, and see the impact of your cost management actions. However, Cost Explorer does not allow you to set a maximum spending limit or alerts for your AWS services. AWS Trusted Advisor is a service that provides you real time guidance to help you provision your resources following AWS best practices, including security and performance. It can help you monitor for cost optimization opportunities, such as unused or underutilized resources, but it does not allow you to set a maximum spending limit or alerts for your AWS services. Service Quotas is a service that enables you to view and manage your quotas, also referred to as limits, from a central location. Quotas, also referred to as limits, are the maximum number of resources that you can create in your AWS account. However, Service Quotas does not allow you to set a maximum spending limit or alerts for your AWS services.

Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and other test & development workloads. Spot Instances are well-suited for massively parallel computations, as they can provide large amounts of compute capacity at a low cost, and can be interrupted with a two-minute notice3

The AWS service or resource that will meet these requirements is D. AWS Partner Network (APN).

AWS Partner Network (APN) is a global community of consulting and technology partners that offer a wide range of services and solutions for AWS customers. APN partners can help customers design, architect, build, migrate, and manage their workloads and applications on AWS.APN partners have access to various resources, training, tools, and support to enhance their AWS expertise and deliver value to customers12.

AWS Support is a service that provides technical assistance and guidance for AWS customers. AWS Support offers different plans with varying levels of response time, access channels, and features.AWS Support does not directly engage third-party consultants, but rather connects customers with AWS experts and resources3.

AWS Organizations is a service that allows customers to manage multiple AWS accounts within a single organization. AWS Organizations enables customers to create groups of accounts, apply policies, automate account creation, and consolidate billing.AWS Organizations does not directly engage third-party consultants, but rather helps customers simplify and optimize their AWS account management4.

AWS Service Catalog is a service that allows customers to create and manage catalogs of IT services that are approved for use on AWS. AWS Service Catalogenables customers to control the configuration, deployment, and governance of their IT services.AWS Service Catalog does not directly engage third-party consultants, but rather helps customers standardize and streamline their IT service delivery5.

 AWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from a customer’s premises to AWS. AWS Direct Connect does not involve the public internet, and therefore can reduce network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections. AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS Cloud. AWS Storage Gateway is a hybrid cloud storage service that gives customers on-premises access to virtually unlimited cloud storage. A VPN connection enables customers to establish a secure and private connection between their network and AWS.

AWS Pricing Calculator and AWS Application Discovery Service are the best combination of AWS services or tools to meet the requirements of determining the total cost of ownership for compute resources that will be hosted on the AWS Cloud. AWS Pricing Calculator is a tool that enables you to estimate the cost of using AWS services based on your usage scenarios and requirements. You can use AWS Pricing Calculator to compare the costs of running your applications on-premises or on AWS, and to optimize your AWS spending. AWS Application Discovery Service is a service that helps you plan your migration to the AWS Cloud by collecting and analyzing information about your on-premises servers, applications, and dependencies. You can use AWS Application Discovery Service to identify the inventory of your on-premises infrastructure, group servers by applications, and estimate the performance and resource utilization of your applications45

AWS Elastic Beanstalk is a service that allows you to deploy and manage applications on AWS without manually creating and configuring the required resources, such as EC2 instances, load balancers, security groups, databases, and more. AWS Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, health monitoring, and updating of your application, while giving you full control over the underlying AWS resources if needed. AWS Elastic Beanstalk supports a variety of platforms and languages, such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. You can use the AWS Management Console, the AWS CLI, the AWS SDKs, or the AWS Elastic Beanstalk API to create and manage your applications. You can also use AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to integrate AWS Elastic Beanstalk with your development and deployment workflows12

 Amazon CloudWatch is a service that provides monitoring and observability for AWS resources and applications. Users can create custom dashboards to collect and visualize metrics, logs, alarms, and events from different sources5. AWS X-Ray is a service that provides distributed tracing and analysis for applications. AWS Systems Manager is a service that provides operational management for AWS resources and applications. AWS CloudTrail is a service that provides governance, compliance, and auditing for AWS account activity.

AWS Auto Scaling is the AWS service that allows users to optimize the number of EC2 instances based on the usage pattern, as it automatically adjusts the capacity to maintain steady and predictable performance at the lowest possible cost. Spot Instances are a way to reduce the cost ofEC2 instances by bidding on unused EC2 capacity, but they are not suitable for applications that require steady and reliable performance. Reserved Instances are a way to reduce the cost of EC2 instances by committing to a certain amount of usage for a period of time, but they are not flexible to adjust to the usage pattern. AWS CloudFormation is a way to automate the creation and management of AWS resources, but it does not optimize the number of EC2 instances based on the usage pattern. These concepts are explained in the AWS Cloud Practitioner Essentials course3.

The approach that will achieve the goal of designing a reliable web application that is hosted on Amazon EC2 is to spread EC2 instances across more than one Availability Zone. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. By spreading EC2 instances across multiple Availability Zones, users can increase the fault tolerance and availability of their web applications, as well as reduce latency for end users2. Launching large EC2 instances in the same Availability Zone, spreading EC2 instances across more than one security group, or using an Amazon Machine Image (AMI) from AWS Marketplace are not sufficient to ensure reliability, as they do not provide redundancy or resilience in case of an outage in one Availability Zone.

 The AWS Cloud offers many benefits, such as:

Trade variable expenses for capital expenses: You can pay only for the resources you use, instead of investing in fixed costs upfront. This reduces the risk and complexity of planning and managing your IT infrastructure4

Deploy globally in minutes: You can leverage the global infrastructure of AWS to deploy your applications and data in multiple regions and availability zones. This enables you to reach your customers faster, improve performance, and increase reliability5

AWS Organizations is a service that enables you to create and manage multiple AWS accounts centrally. You can use AWS Organizations to automate account creation, apply policies to control access and permissions, and consolidate billing across your accounts. You can also use AWS Organizations to prevent users from creating Amazon EC2 instances in certain regions or with certain configurations2

 Establishing an AWS Direct Connect connection between the VPC and the company’s on-premises network is the action that the company should take to meet the requirement of having a dedicated connection between the VPC and the company’s on-premises network. AWS Direct Connect is a service that lets you establish a dedicated network connection between your network and one of the AWS Direct Connect locations. Using AWS Direct Connect, you can create a private connection between AWS and your datacenter, office, or colocation environment, which can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections. Establishing a VPN connection between the VPC and the company’s on-premises network is an action that the company can take to create a secure and encrypted connection between the VPC and the company’s on-premises network, but it is not a dedicated connection, as it uses the public internet as the transport mechanism. Attaching an internet gateway to the VPC and using the AWS public endpoints for connectivity is an action that the company can take to enable communication between the VPC and the internet, but it is not a dedicated connection, as it also uses the public internet as the transport mechanism. Configuring Amazon Connect to provide connectivity between the VPC and the company’s on-premises network is not an action that the company can take, because Amazon Connect is a service that lets you set up and manage a contact center in the cloud, but it does not provide network connectivity between the VPC and the company’s on-premises network.

 Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Amazon Redshift is a relational database management system (RDBMS), so it is compatible with other RDBMS applications. You can use standard SQL to query the data.

AWS Trusted Advisor is a service that provides real-time guidance to help you provision your resources following AWS best practices. AWS Trusted Advisor provides recommended actions in five categories: cost optimization, performance, security, fault tolerance, and service quotas. Cost optimization helps you reduce your overall AWS costs by identifying idle and underutilized resources. Service quotas helps you monitor and manage your usage of AWS service quotas and request quota increases. Operating system patches, repetitive tasks, and account activity records are not categories that AWS Trusted Advisor provides recommended actions for. Source: [AWS Trusted Advisor]

AWS recommends using tags to organize resources effectively and to activate cost allocation tags to enable detailed tracking of costs by categories such as department, environment, and application. This approach provides the granularity needed for tracking and managing AWS costs accurately. AWS Cost Management and Billing tools provide insights but do not inherently categorize costs without tags.

AWS Snowball Edge is designed for large-scale data transfer tasks, allowing companies to transport significant amounts of data (up to petabytes) from their data centers to AWS without relying on the internet. With the ability to transfer 100 TB of data securely and efficiently, Snowball Edge is the ideal choice for this use case. AWS Snowcone is for smaller transfers, and AWS Data Exchange and DataSync are not designed for physical data transport.

The AWS Cloud's global infrastructure enables rapid deployment across multiple geographic regions, allowing companies to extend applications to new markets quickly. This capability to "go global in minutes" is especially valuable for businesses looking to reach customers in new countries without building data centers. Other options, like speed and agility, are advantages but do not specifically address global deployment.

Scaling horizontally, or adding more instances of resources rather than increasing the size of a single instance, is a core principle of the Performance Efficiency pillar of the AWS Well-Architected Framework. It enables applications to handle increasing loads by distributing traffic across multiple resources. Other options, such as serverless architectures, managed services, and cost measurement, align with other pillars of the framework.

AWS SDKs Overview:

AWS Software Development Kits (SDKs) provide libraries and tools for developers to interact with AWS services programmatically.

SDKs are available for multiple programming languages, including Python, Java, JavaScript, and .NET.

How AWS SDKs Meet the Requirement:

Enable developers to integrate AWS services into their applications easily.

Include API clients, authentication helpers, and other utilities specific to AWS services.

Why Other Options Are Incorrect:

A. AWS CodePipeline:Automates CI/CD pipelines but does not provide libraries for development.

C. Amazon CloudWatch:Focuses on monitoring and logging; not a development toolset.

D. AWS CodeDeploy:Automates application deployment but does not include development libraries.

AWS Direct Connect provides a dedicated private network connection from on-premises data centers directly to the AWS Cloud, bypassing the public internet. This setup is ideal for reducing network costs, increasing bandwidth throughput, and providing a more consistent network experience compared to standard internet connections. Other services, such as Amazon VPC, relate to networking but do not establish a private network connection from on-premises to AWS.

To follow the principle of least privilege, the company should create an IAM user with only programmatic access since the access is limited to AWS CLI and SDKs, not the Management Console. Additionally, a custom IAM policy granting specific Amazon RDS permissions should be created and attached to this user to restrict access solely to necessary actions. Providing programmatic access only ensures adherence to security best practices by limiting access to the required interfaces.

The AWS Architecture Center provides examples, best practices, and architectural blueprints for various AWS Cloud solutions. It includes whitepapers, reference architectures, and detailed diagrams to help users design secure, scalable, and reliable applications on AWS. Other services like AWS Marketplace, Service Catalog, and Trusted Advisor do not offer solution design examples.

AWS Budgets allows organizations to set custom cost and usage budgets and receive notifications when they exceed predefined thresholds. This feature helps the finance department monitor spending and manage budget forecasts effectively. AWS Cost and Usage Reports and Cost Explorer provide detailed billing data but do not include budget notifications. Consolidated billing in AWS Organizations is useful for aggregating billing across accounts but does not provide budget alerts.

Rightsizing involves adjusting instance types based on actual utilization to optimize costs and performance. Changing the size and type of EC2 instances according to utilization data achieves this with minimal operational overhead. Adding instances or changing payment methods does not directly address instance resizing, and reprovisioning with larger instances may not be optimal based on actual usage.

A VPC endpoint enables private connections between an Amazon VPC and AWS services, like Amazon S3, without requiring internet access. This allows secure access to S3 from an EC2 instance within the same VPC, reducing latency and improving security. VPN connections and NAT gateways do not eliminate internet traffic, and an internet gateway would expose the VPC to the public internet.

The AWS Management Console provides a web-based graphical user interface (GUI) that allows users to manage AWS services. It is user-friendly and accessible, enabling users to control and configure resources without needing to interact with AWS through code or command-line interfaces. AWS CLI and SDKs are command-line and programming tools, respectively, and do not offer a graphical interface.

Elastic Load Balancing (ELB) distributes incoming traffic across multiple targets, such as EC2 instances, containers, and IP addresses, ensuring better application availability and fault tolerance. While ELB scales to meet traffic demands, it does not inherently scale compute resources themselves, span multiple regions, or balance traffic between internet gateways.

IAM Users and Billing Permissions:

IAM users with appropriate permissions can access and view the AWS Billing console.

The root user is required only for certain account-level tasks, such as changing support plans or closing accounts.

Why Other Options Are Incorrect:

A. Change to a different AWS Support plan:Requires root user credentials.

B. Close an AWS account:Requires root user credentials.

D. Activate access to the AWS Billing console:Requires root user credentials.

AWS Trusted Advisor provides checks and recommendations across various categories, including cost optimization, security, and performance. Access to all Trusted Advisor checks is available with AWS Business Support, ensuring the company can follow AWS best practices comprehensively. The Developer Support plan offers limited Trusted Advisor checks, and AWS Health Dashboard provides insights into service health but not specific best practice recommendations.

Amazon Rekognition provides machine learning capabilities to analyze images and videos, enabling the detection of objects, people, text, and scenes. It is designed specifically for image and video analysis, making it suitable for various use cases like facial recognition and content moderation. Other services like Amazon Connect, Lightsail, and Personalize do not offer image or video analysis capabilities.

AWS WAF is a web application firewall that helps protect applications from SQL injection attacks and other common web exploits. By defining rules to block, allow, or monitor specific types of requests, AWS WAF provides an effective defense against SQL injection. Network ACLs and Security Groups provide network-level security but do not inspect web traffic for specific attack patterns like SQL injection.

S3 Intelligent-Tiering is cost-effective for data with unpredictable access patterns. It automatically moves data between two access tiers (frequent and infrequent) based on access patterns, which is suitable for data accessed daily or infrequently. S3 Glacier Deep Archive is for archival data accessed infrequently, and S3 One Zone-IA is for infrequent access data stored in a single availability zone, which may not be ideal for data accessed daily.

Refactoring involves re-architecting and modifying an application to take advantage of cloud-native features. In this case, the company wants to modernize a monolithic application by breaking it into microservices. This process aligns with the Refactor strategy, which is aimed at modernizing and re-architecting applications. Rehost, Repurchase, and Replatform do not involve the level of re-architecting needed to move from a monolithic to a microservices architecture.

AWS Fargate and Amazon S3 are both serverless services. Fargate allows users to run containers without managing the underlying infrastructure, while S3 provides object storage without the need for provisioning or managing servers. Amazon EC2, Amazon Managed Streaming for Apache Kafka, and Amazon EMR involve server management to varying degrees and are not serverless by nature.

Under the AWS shared responsibility model, AWS is responsible for managing the underlying infrastructure, including operating system-level updates on managed services like Amazon RDS. Customers are responsible for managing the database instance and configurations, but AWS handles OS updates for the infrastructure supporting RDS.

AWS Elastic Beanstalk is a managed service that facilitates the deployment and management of applications in the AWS Cloud. It supports multiple programming languages and frameworks, allowing users to deploy web applications without managing the underlying infrastructure. Elastic Beanstalk automatically handles deployment, capacity provisioning, load balancing, and auto-scaling. The other services listed, like CodeGuru, Fargate, and CodeCommit, do not provide full application deployment and management capabilities.

AWS Secrets Manager is a service designed to securely store and manage access to sensitive information such as API keys, passwords, and database credentials. It allows automatic rotation, secure storage, and fine-grained access control for these credentials, ensuring they are securely managed. The other options do not provide encrypted storage for credentials specifically.

The reliability pillar of the AWS Well-Architected Framework emphasizes building systems that can recover from failures and dynamically adjust to meet demand. This includes designing to automatically recover from failures and implementing mechanisms to manage capacity demands, avoiding manual guesswork. The other options do not align with core reliability principles, as operating in a single Availability Zone or preemptively adjusting quotas in a secondary region does not inherently improve reliability.

AWS Transit Gateway serves as a central hub that enables connectivity between multiple VPCs and on-premises networks. It simplifies network architecture and management by acting as a centralized gateway for traffic flowing between all connected networks. Other options, such as Gateway VPC Endpoints and AWS PrivateLink, do not provide the centralized, scalable connectivity that Transit Gateway offers across multiple VPCs and on-premises environments.

The Amazon EC2 Reserved Instance Marketplace allows customers to sell unused Standard Reserved Instances to other AWS users. This enables companies to recoup some of the costs if they no longer need certain RIs. Standard RIs cannot be converted to Savings Plans, and AWS Support does not facilitate the resale of RIs directly.

In the AWS Cloud Adoption Framework (AWS CAF), theGovernanceperspective focuses on aligning IT strategy and goals with business processes, which includes managing data assets, setting up an inventory of data products, and ensuring that data cataloging and metadata management are in place. This perspective is crucial for organizing data products and services, which aligns with building a comprehensive data catalog. Other perspectives like Operations, Business, and Platform do not specifically address the management of a data catalog.

AWS Snowball Edge offers configurations that are either storage-optimized or compute-optimized, providing flexibility for different data migration and processing needs. It supports local processing and data transfer to AWS, catering to scenarios that require heavy storage or compute resources. AWS Snowcone and DataSync do not offer these optimizations, and Storage Gateway focuses on hybrid cloud storage.

One of the main advantages of cloud computing is the ability to trade fixed capital expenditures for variable operating expenses. By moving to the AWS Cloud, the company pays only for the resources it uses on a per-usage basis, reducing the need for large upfront investments in data center infrastructure. This benefit allows for more flexible and cost-effective spending based on actual usage. Other options, such as increased speed and agility or global reach, are also cloud benefits but do not specifically address the shift from fixed to variable expenses.

AWS IAM Identity Center (formerly AWS Single Sign-On) provides centralized management of user access to multiple AWS accounts within an organization in AWS Organizations. It allows users to log in once and gain access to all assigned accounts without managing separate logins for each account. Amazon Cognito is generally used for application-level user management and authentication, not for managing access across AWS accounts.

AWS WAF Overview:

AWS Web Application Firewall (WAF) allows users to create rules to block or allow traffic based on IP addresses, request patterns, and other conditions.

It is ideal for blocking traffic from a specific IP address.

Why AWS WAF Meets the Requirement:

The company can create a WAF rule to block traffic from the malicious IP address.

WAF integrates with services like Amazon CloudFront, Application Load Balancer, and API Gateway.

Why Other Options Are Incorrect:

A. AWS Shield:Protects against DDoS attacks but does not allow custom IP blocking.

B. AWS Config:Monitors resource configurations but does not block IPs.

C. Amazon GuardDuty:Detects threats but does not block traffic directly.

AWS Direct Connect provides a dedicated, low-latency, and consistent network connection between on-premises data centers and AWS. This private connection minimizes latency and improves network stability compared to a public internet connection or VPN. AWS Direct Connect is ideal for applications requiring real-time data transfer with minimal latency.

AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards AWS applications against network and transport layer attacks. AWS Shield Standard is automatically included with all AWS services and offers protection against common DDoS attacks. For more advanced protection, AWS Shield Advanced provides additional DDoS mitigation measures. Although AWS WAF, Firewall Manager, and GuardDuty contribute to security, they do not specialize in DDoS mitigation at the network layer like AWS Shield does.