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

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?

Amazon EC2 (Elastic Compute Cloud)provides scalable computing capacity in the AWS Cloud, allowing customers to run virtual servers (instances) with different configurations of CPU, memory, storage, and networking capacity. This flexibility is ideal for applications that require specific infrastructure configurations, such as custom marketing and order-processing applications.

A. AWS Lambda: Incorrect, as it is a serverless compute service that automatically manages the computing resources needed to run code but does not offer the flexibility of choosing different instance types.

B. Amazon Cognito: Incorrect, as it is used for user authentication and authorization, not for deploying applications.

C. Amazon Athena: Incorrect, as it is an interactive query service for analyzing data in Amazon S3 using standard SQL.

AWS Cloud References:

Amazon EC2

AWS Secrets Manageris the most secure way to store and manage sensitive information, such as passwords, database credentials, and API keys. Secrets Manager allows you to:

Securely store and rotate secrets.

Automatically manage secret rotation without disrupting applications.

Integrate with AWS services and third-party applications to retrieve secrets securely.

Why other options are not suitable:

A. Store passwords in an Amazon S3 bucket: Although S3 is secure, it is not designed for secret management. It lacks built-in secret rotation and fine-grained access control for sensitive data.

B. Store passwords as AWS CloudFormation parameters: CloudFormation is used for managing infrastructure as code, not for securely storing passwords.

C. Store passwords in AWS Storage Gateway: A service for hybrid storage integration, not suitable for storing secrets or passwords.

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

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

Amazon S3 is a service that provides durable storage for static content and infinitely scalable data storage infrastructure at the lowest cost. Amazon S3 is an object storage service that allows you to store and retrieve any amount of data from anywhere on the internet. Amazon S3 offers industry-leading scalability, availability, and performance, as well as 99.999999999% (11 9s) of durability and multi-AZ resilience. Amazon S3 also provides various storage classes that offer different levels of performance and cost optimization, such as S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access (S3 Standard-IA), S3 One Zone-Infrequent Access (S3One Zone-IA), and S3 Glacier456. Amazon S3 is ideal for storing static content, such as images, videos, documents, and web pages, as well as building data lakes, backup and archive solutions, big data analytics, and machine learning applications456. References: 4: Cloud Storage on AWS, 5: Object Storage - Amazon Simple Storage Service (S3) - AWS, 6: Amazon S3 Documentation

According to theAWS Shared Responsibility Model, the customer is responsible for managing the guest operating system (including patches and updates) and any applications that they run on their Amazon EC2 instances.

Why other options are not suitable:

B. Control physical access to an AWS data center: AWS is responsible for the physical security of its data centers.

C. Control access to AWS underlying hardware: AWS manages the hardware infrastructure.

D. Patch a host operating system that is deployed on Amazon S3: Amazon S3 is a managed storage service, and AWS manages the underlying infrastructure, including the operating system.

Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service that lets you send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available1. Amazon SQS is designed to provide a simpleand reliable way for customers to decouple and connect components (microservices) together using queues2. Queues are an important mechanism for providing fault tolerance and scalability in distributed systems, and help decouple different parts of your application3. The other options are not AWS services that are used specifically for sending messages between applications

Compute Savings Plans provide the most flexibility and help to reduce your costs by up to 66%. These plans automatically apply to EC2 instance usage regardless of instance family, size, AZ, Region, OS or tenancy, and also apply to Fargate or Lambda usage. For example, with Compute Savings Plans, you can change from C4 to M5 instances, shift a workload from EU (Ireland) to EU (London), or move a workload from EC2 to Fargate or Lambda at any time and automatically continue to pay the Savings Plans price.

AWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish private connectivity between AWS and your datacenter, office, or colocation environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections12. References: 1: Dedicated Network Connection - AWS Direct Connect - AWS, 2: What is AWS Direct Connect? - AWS Direct Connect

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 …

VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. Flow log data can be published to Amazon CloudWatch Logs, Amazon S3, or Amazon Kinesis Data Firehose. You can use VPC Flow Logs to diagnose network issues, monitor traffic patterns, detect security anomalies, and comply with auditing requirements34. References: Logging IP traffic using VPC Flow Logs - Amazon Virtual Private Cloud, New – VPC Traffic Mirroring – Capture & Inspect Network Traffic | AWS News Blog

Amazon RDS for MySQL is a fully managed, open-source cloud database service that allows you to easily operate and scale your relational database of choice, including MySQL. With Amazon RDS for MySQL, you don’t have to worry about the hardware, resiliency, and replication of your database, as Amazon RDS handles these tasks for you. Amazon RDS for MySQL also provides features such as automated backups, multi-AZ deployments, read replicas, encryption, monitoring, and more. Amazon RDS for MySQL is compatible with the MySQL Community Edition versions 5.7 and 8.0, which means that you can use the same code, applications, andtools that you already use with MySQL4567. References: 4: Hosted MySQL - Amazon RDS for MySQL - AWS, 5: Amazon RDS for MySQL - Amazon Relational Database Service, 6: Amazon RDS for MySQL —亚马逊云科技, 7: Managed SQL Database - Amazon Relational Database Service (RDS) - AWS

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.

TheAWS Pricing Calculatoris a web-based tool that allows customers to estimate their monthly AWS costs by configuring and projecting the costs of different AWS services. The calculator is specifically designed to help customers plan their AWS spending based on their specific architecture and usage patterns. The other options are not correct because:

B. Calculate historical AWS costs: This is incorrect as the AWS Pricing Calculator does not track or calculate historical costs. For historical costs, AWS Cost Explorer is used.

C. Provide in-depth information about AWS pricing strategies: While the AWS Pricing Calculator provides cost estimations, it does not provide detailed insights into AWS pricing strategies.

D. Provide users with access to their monthly bills: This is incorrect; AWS Billing and Cost Management provides access to actual billing information.

AWS Cloud References:

AWS Pricing Calculator

AWS CloudTrailis a service that enables governance, compliance, and operational and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. CloudTrail logs provide a history of AWS API calls for your account, including those made by the AWS Management Console, AWS SDKs, command-line tools, and other AWS services. In this case, AWS CloudTrail will help the administrator identify which user deleted the resources by reviewing the event history that records details such as which user performed the action, the time of the action, and which resources were affected.

B. Amazon Inspector: Incorrect, as it is a security assessment service that helps identify vulnerabilities and deviations from best practices, not for tracking user activity.

C. Amazon GuardDuty: Incorrect, as it is a threat detection service that monitors malicious activity and unauthorized behavior, not specifically for tracking changes made by users.

D. AWS Trusted Advisor: Incorrect, as it provides best practices and guidance for cost optimization, security, fault tolerance, and performance, not for logging user actions.

AWS Cloud References:

AWS CloudTrail

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

Amazon CloudFront and AWS Global Accelerator are two AWS services that make use of global edge locations. Edge locations are AWS sites that are deployed worldwide in major cities and places with a high population. Edge locations are used to cache data and reduce latency for end-user access1.

Amazon CloudFront is a content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency and high transfer speeds. Amazon CloudFront uses a global network of over 200 edge locations and 13 regional edge caches to cache your content closer to your viewers, improving performance and reducing costs23.

AWS Global Accelerator is a networking service that improves the availability and performance of your applications with local or global users. AWS Global Accelerator uses the AWS global network to route user traffic to the optimal endpoint based on health, performance, and policies. AWS Global Accelerator uses over 100 edge locations to bring your application endpoints closer to your users, reducing networkhops and improving user experience45. References: 1: AWS for the Edge - Amazon Web Services (AWS), 2: Content Delivery Network (CDN) - Amazon CloudFront - AWS, 3: Amazon CloudFront Documentation, 4: AWS Global Accelerator - Amazon Web Services, 5: AWS Global Accelerator Documentation

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

Amazon RDS (Relational Database Service)is a managed database service that simplifies the setup, operation, and scaling of relational databases in the AWS Cloud. It supports several SQL-based databases, such as MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB, while automating common administrative tasks such as backups, patch management, and scaling. This significantly reduces the operational overhead compared to managing databases on Amazon EC2 instances, which would require manual management of the operating system, database software, backups, and maintenance.

A. Amazon EC2 instances: Incorrect, as this would involve more operational overhead, including manual management of the database server.

C. Amazon DynamoDB: Incorrect, as it is a NoSQL database service, not suitable for migrating SQL-based databases.

D. OpenSearch: Incorrect, as it is used for search and analytics workloads, not for hosting SQL-based databases.

AWS Cloud References:

Amazon RDS

Best practices for using AWS Identity and Access Management (IAM) include:

B. Create individual IAM users: Each user should have their own IAM credentials to ensure accountability, control, and traceability. Sharing credentials can lead to security risks and difficulty in auditing.

E. Use groups to assign permissions to IAM users: Assigning permissions through IAM groups simplifies permission management. You can assign the necessary permissions to the group, and then add or remove users from the group as needed, rather than managing permissions for each user individually.

Why other options are not suitable:

A. Share access keys: Sharing access keys is a security risk and violates AWS security best practices. Each user should have their own credentials.

C. Use inline policies instead of customer-managed policies: Customer-managed policies are preferred over inline policies because they offer better control, reusability, and versioning.

D. Grant maximum privileges to IAM users: Granting the least privilege necessary is a best practice to reduce the risk of accidental or malicious actions.

TheBusiness perspectiveof the AWS Cloud Adoption Framework (AWS CAF) focuses on ensuring that cloud investments align with business strategies and that the organization achieves business value from cloud adoption. It provides real-time insights into the organization's strategic goals, financial objectives, and metrics.

This perspective helps answer questions about strategy, ensuring that cloud adoption aligns with the organization's long-term business goals.

Why other options are not suitable:

A. Operations: Focuses on operating cloud environments effectively.

B. People: Focuses on human resources and organizational structure.

D. Platform: Focuses on infrastructure and architecture.

Spot Instancesare the most cost-effective EC2 instance purchasing option for batch workloads that can handle interruptions and can be restarted from where they left off. Spot Instances offer significant cost savings (up to 90%) over On-Demand Instances by using spare EC2 capacity. They are ideal for workloads that are fault-tolerant and flexible in terms of timing.

A. Reserved Instances: Incorrect, as they require a long-term commitment and do not offer the flexibility needed for short-term, interruptible workloads.

C. Dedicated Instances: Incorrect, as they are designed to run on hardware dedicated to a single customer, which is more expensive.

D. On-Demand Instances: Incorrect, as they are more expensive than Spot Instances and are used for applications that require immediate or predictable capacity.

AWS Cloud References:

Amazon EC2 Spot Instances

AWS Budgetsallows users to set custom cost and usage budgets and receive notifications when they exceed their thresholds. It provides detailed reports on cost and usage data for the past and current months, enabling the finance team to track and analyze spending.

AWS Budgets can automatically generate cost and usage reports, which can help the finance team plan ahead for each quarter based on historical data.

Why other options are not suitable:

A. Amazon Detective: A security service for analyzing and investigating AWS account activity for security purposes, not cost tracking.

B. AWS Pricing Calculator: A tool to estimate costs based on expected usage, not for tracking actual past usage.

D. AWS Savings Plans: An offering to save costs on AWS usage; it does not provide cost tracking or reporting features.

AWS Organizationsis a no-cost service that helps you centrally manage and govern your environment as you grow and scale your AWS resources. With AWS Organizations, you can create new AWS accounts, invite existing accounts to join your organization, and apply policies to groups of accounts for governance. While some features within AWS services incur additional costs, using AWS Organizations itself does not add any direct costs.

A. Amazon SageMaker: Incorrect, as it is a fully managed service for building, training, and deploying machine learning models, and it is not free.

B. AWS Config: Incorrect, as while it offers some free-tier usage, it generally incurs charges for recording and evaluating configuration changes.

D. Amazon CloudWatch: Incorrect, as certain CloudWatch metrics, custom metrics, and alarms have associated costs beyond the free tier.

AWS Cloud References:

AWS Organizations

Understanding Availability Zones (AZs): An Availability Zone is a distinct location within an AWS region that is engineered to be isolated from failures in other AZs.

Characteristics of Availability Zones:

Data Centers: Each AZ consists of one or more discrete data centers with redundant power, networking, and connectivity.

High Availability: AZs are designed for high availability, providing low-latency network connections to other zones in the same region.

Fault Isolation: They provide fault isolation and are used to deploy applications and services to ensure high availability and reliability.

Use Cases for Availability Zones:

Multi-AZ Deployments: For services like RDS, deploying in multiple AZs ensures fault tolerance.

Disaster Recovery: Setting up resources in multiple AZs helps in quick recovery from failures.

Load Balancing: Distributing traffic across AZs using Elastic Load Balancing ensures optimal performance and availability.

AWS Global Infrastructure

Understanding AWS Regions and Availability Zones

AWS Direct Connect is a service that establishes a dedicated network connection between your on-premises network and one or more AWS Regions. AWS Direct Connect can be used to create a private connection between an on-premises workload and an AWS Cloud workload, bypassing the public internet and reducing network costs, latency, and bandwidth issues. AWS Direct Connect can also provide increased security and reliability for your hybrid cloud applications and data transfers. References:

AWS Direct Connect

What is AWS Direct Connect?

AWS Direct Connect User Guide

A Network Access Control List (ACL) is a stateless network filtering mechanism provided by AWS for controlling traffic in and out of subnets within a VPC. Unlike security groups, which are stateful, network ACLs are stateless. This means that they do not automatically allow responses to inbound traffic unlessexplicitly specified. Network ACLs allow you to set rules for both inbound and outbound traffic, making them suitable for stateless filtering. Security groups, on the other hand, are stateful, while AWS WAF is primarily for web application-level security. AWS PrivateLink is used for privately connecting VPCs to AWS services without using an internet gateway. Therefore, for stateless network filtering, Network ACL is the correct choice.

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 IAM Identity Center (AWS Single Sign-On) is a cloud-based service that makes it easy to centrally manage single sign-on (SSO) access to multiple AWS accounts and business applications. You can use AWS SSO to enable your users to sign in to the AWS Management Console or the AWS Command Line Interface (AWS CLI) with their existing corporate credentials2. You can also manage SSO access and user permissions across all your AWS accounts in AWS Organizations3. References: AWS Single Sign-On - AWS Documentation, AWS Organizations - AWS Documentation

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)

Amazon Cognitois an AWS service that provides user sign-up, sign-in, and access control to web and mobile applications. It supports authentication for different identity providers, including social identity providers (such as Google, Facebook, and Apple), enterprise identity providers via SAML 2.0, and its own user pools.

Amazon Cognito offers:

User Poolsfor managing user registration, authentication, and account recovery.

Federated Identitiesfor managing user access from external identity providers.

Why other options are not suitable:

B. AWS Config: A service for tracking resource configuration changes, not related to user authentication.

C. Amazon GuardDuty: A threat detection service, not related to user sign-up or authentication.

D. AWS Systems Manager: A service to manage AWS resources, but it does not provide user authentication.

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 collections of EC2 instances, called Auto Scaling groups, and specify the minimum and maximum number of instances in each group. You can also define scaling policies that adjust the number of instances based on the demand on your application. Amazon EC2 Auto Scaling helps you improve the performance, reliability, and cost-efficiency of your EC2workloads123. References: 1: VDI Desktops - Amazon WorkSpaces Family - AWS, 2: What is Amazon EC2 Auto Scaling? - Amazon EC2 Auto Scaling, 3: Discover Amazon EC2 Auto Scaling Unit | Salesforce Trailhead

When a company hosts its databases on Amazon EC2 instances, AWS and the customer share the responsibility for the security and management of the database environment. 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 is responsible for protecting the infrastructure that runs the EC2 instances, such as the hardware, software, networking, and facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the database software, the data, and the network traffic12.

One of the tasks that belongs to AWS when a company hosts its databases on Amazon EC2 instances is operating system patches. AWS provides regular updates and patches to the operating system of the EC2 instances, which are applied automatically by default. The customer can also choose to manually apply the patches or schedule them for a specific time window3. Operating system patches are important for maintaining the security and performance of the EC2 instances and the databases running on them.

The other tasks that belong to AWS when a company hosts its databases on Amazon EC2 instances are:

Operating system installations: AWS provides a variety of operating system options for the EC2 instances, such as Linux, Windows, and Amazon Linux. The customer can choose the operating system that best suits their database needs and AWS will install it on the EC2 instances4.

Server maintenance: AWS performs regular maintenance and repairs on the physical servers that host the EC2 instances, ensuring that they are in optimal condition and have adequate power, cooling, and network connectivity5.

Hardware lifecycle: AWS manages the lifecycle of the hardware that supports the EC2 instances, such as replacing faulty components, upgrading equipment, and decommissioning old servers.

The tasks that do not belong to AWS when a company hosts its databases on Amazon EC2 instances are:

Database backups: The customer is responsible for backing up their data and databases on the EC2 instances, using tools such as Amazon S3, Amazon EBS snapshots, or AWS Backup. Database backups are essential for data protection and recovery in case of failures or disasters.

Database software patches: The customer is responsible for applying patches and updates to the database software on the EC2 instances, such as MySQL, PostgreSQL, Oracle, or SQL Server. Database software patches are important for fixing bugs, improving features, and addressing security vulnerabilities.

Database software install: The customer is responsible for installing the database software on the EC2 instances, choosing the version and configuration that meets their requirements. AWS provides some preconfigured AMIs (Amazon Machine Images) that include common database software, or the customer can use their own custom AMIs.

Shared Responsibility Model - Amazon Web Services (AWS)

Shared responsibility model - Amazon Web Services: Risk and Compliance

Patching Amazon EC2 instances - AWS Systems Manager

Amazon EC2 FAQs - Amazon Web Services

Maintenance and Retirements - Amazon Elastic Compute Cloud

[Hardware Lifecycle - Amazon Web Services (AWS)]

[Backing Up Your Data - Amazon Web Services (AWS)]

[Database Patching - Amazon Web Services (AWS)]

[Installing Database Software on Amazon EC2 Instances - Amazon Web Services (AWS)]

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.

Amazon S3 (Simple Storage Service)is a scalable object storage service that allows users to store and retrieve any amount of data at any time from anywhere on the web. S3 provides the ability to make objects (files) publicly accessible via a public URL, which allows users to download files directly. S3 is highly durable, scalable, and secure, making it an ideal service for storing files that need to be accessed publicly.

Why other options are not suitable:

A. Amazon Redshift: A data warehouse service designed for complex queries and analytics, not for storing and publicly sharing files.

B. Amazon Elastic Block Store (Amazon EBS): Provides block storage for use with EC2 instances, but does not support public URLs or direct file access from the web.

C. Amazon Elastic File System (Amazon EFS): A managed file storage service for use with EC2 instances, not designed for public access via URLs.

AWS Cloud Adoption Framework (AWS CAF) is a set of best practices, tools, and guidance that helps organizations get started with cloud technologies. AWS CAF helps organizations identify and prioritize transformation opportunities, evaluate and improve their cloud readiness, and iteratively evolve their transformation roadmap. AWS CAF groups its capabilities in six perspectives: Business, People, Governance, Platform, Security, and Operations. Each perspective comprises a set of capabilities that functionally related stakeholders own or manage in the cloud transformation journey1

AWS Managed Services (AMS) is a service that operates AWS infrastructure on behalf of customers, providing a secure AWS Landing Zone, features that help meet various compliance program requirements, a proven enterprise operating model, on-going cost optimization, and day-to-day infrastructure management. AMS does not help customers identify and prioritize business transformation opportunities or evaluate their cloud readiness2

AWS Well-Architected Framework is a set of six pillars and lenses that help cloud architects design and run workloads in the cloud. It provides a consistent approach for customers and AWS Partners to evaluate and implement designs that scale with their needs. AWS Well-Architected Framework helps customers understand the pros and cons of decisions they make while building systems on AWS, but it does not help them identify and prioritize business transformation opportunities3

AWS Migration Hub is a tool that lets customers discover, plan, and track their existing servers and applications for migration to AWS. It offers journey templates, cross-team collaboration, application and server discovery, strategy recommendations, orchestration and simple dashboard. AWS Migration Hub simplifies the migration and modernization process, but it does not help customers identify and prioritize business transformation opportunities or evaluate their cloud readiness4

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 is responsible for protecting the infrastructure that runs AWS services, such as DynamoDB, while the customer is responsible for properly configuring the security of the provided service. For abstracted services, such as DynamoDB, the customer is primarily responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriatepermissions12. Therefore, the customer is responsible for controlling the access to DynamoDB tables, such as by creating IAM policies, roles, and users, and using encryption and authentication mechanisms3. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Security and compliance in Amazon DynamoDB - Amazon DynamoDB

What is Shared Responsibility Model? - Check Point Software

AWS Artifact is a self-service portal that provides on-demand access to AWS security and compliance reports and select online agreements. Users can download reports such as AWS ISO certifications, PCI reports, SOC reports, and GDPR DPA, and review and accept agreements such as BAA and NDA. AWS Artifact helps users to understand and meet compliance requirements for various standards and regulations that apply to AWS services and infrastructure. AWS Artifact is the best resource for a user to find compliance-related information and reports about AWS, whereas the other options are not

When you run a NoSQL database on Amazon EC2 instances, you are responsible for managing the database layer and the guest operating system of the instances. This means that you need to perform tasks such as updating the operating system, maintaining high availability, and configuring the security group firewall. AWS is responsible for managing the physical infrastructure that hosts the EC2 instances. This means that AWS ensures that the hardware and firmware of the servers, routers, switches, and other devices are updated and secure. AWS also handles the power, cooling, networking, and security of the data centers12. References: CLF-C02: Which task is responsibility of AWS to run NoSQL database on …, Best Practices for Hosting NoSQL Databases on Amazon EC2

AWS Marketplace is an online store that helps customers find, buy, and immediately start using the software and services that run on AWS. Customers can choose from a wide range of software products in popular categories such as security, networking, storage, machine learning, business intelligence, database, and DevOps. Customers can also use AWS Marketplace to purchase software as a service (SaaS) solutions that are integrated with AWS. Customers can benefit from simplified procurement, billing, and deployment processes, as well as flexible pricing options and free trials. Customers can also leverage AWS Marketplace to discover and subscribe to solutions offered by AWS Partners, such as the security software vendor mentioned in the question. References: AWS Marketplace, [AWS Marketplace: Software as a Service (SaaS)], [AWS Cloud Practitioner Essentials: Module 6 - AWS Pricing, Billing, and Support]

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 Application Migration Service (AWS MGN) is the primary service for migrating Amazon EC2 instances and on-premises servers to AWS, and it supports migration from one AWS Region to another. It automates the process of replicating and converting the source servers (including their applications, configurations, and data) to run natively on AWS. AWS Database Migration Service (DMS) is for migrating databases, AWS DataSync is for data transfer, and AWS Migration Hub provides a single location to track migration tasks across multiple AWS services but does not perform the migration itself.

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.

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 Database Migration Service (DMS) and AWS Schema Conversion Tool are the primary services for migrating a commercial relational database to an Amazon-managed open-source database. AWS DMS helps migrate the data, while the AWS Schema Conversion Tool converts the database schema from the source database format to the target format, including SQL code. AWS SDKs are for software development, AWS Systems Manager is for operational management, and Amazon EMR is for big data processing, which are not relevant to this use case.

Elasticity is a characteristic of the AWS Cloud that helps users eliminate underutilized CPU capacity. Elasticity refers to the ability to dynamically provision and de-provision computing resources as per demand, ensuring that the application or service always has the required resources to operate efficiently. Elasticity helps users optimize performance and costs, as theyonly pay for the resources they use and avoid wasting resources when the demand is low345. References: 3: Which characteristic of the aws cloud helps users eliminate …, 4: AWS Elastic Load Balancing and Application Load Balancer, 5: Which characteristic of the AWS Cloud helps users eliminate …

AWS Storage Gateway is a hybrid cloud storage service that provides on-premises access to virtually unlimited cloud storage. You can use AWS Storage Gateway to simplify storage management and reduce costs for key hybrid cloud storage use cases. One of these use cases is tape-based backup, which allows you to store data backups on virtual tapes in the AWS Cloud. You can use the Tape Gateway feature of AWS Storage Gateway to extend your existing physical tape library to the AWS Cloud. Tape Gateway provides a virtual tape infrastructure that scales seamlessly with your backup needs and eliminates the operational burden of provisioning, scaling, and maintaining a physical tape infrastructure123. References: 1: CloudStorage Appliances, Hybrid Device - AWS Storage Gateway - AWS, 2: AWS Storage Gateway Documentation, 3: AWS Storage Gateway Features | Amazon Web Services

 IAM roles are a secure way to grant permissions to applications running on an Amazon EC2 instance to make calls to other AWS services. IAM roles are entities that have specific permissions policies attached to them. You can create an IAM role and associate it with an EC2 instance when you launch it or later. The applications on the instance can then use the temporary credentials provided by the role to access AWS resources that the role allows. This way, you do not have tostore any long-term credentials or access keys on the instance, which reduces the risk of compromise or misuse12.

The other options are not correct, because:

Security groups are virtual firewalls that control the inbound and outbound traffic for your EC2 instances. Security groups do not grant permissions to access other AWS services, but rather filter the network traffic based on rules that you define3.

AWS Firewall Manager is a service that helps you centrally configure and manage firewall rules across your accounts and resources. AWS Firewall Manager works with AWS WAF, AWS Shield Advanced, and Amazon VPC security groups. AWS Firewall Manager does not grant permissions to access other AWS services, but rather helps you enforce consistent security policies across your AWS infrastructure4.

IAM user SSH keys are credentials that allow you to connect to your EC2 instance using SSH. SSH keys do not grant permissions to access other AWS services, but rather authenticate your identity when you log in to your instance5.

Using an IAM role to grant permissions to applications running on Amazon EC2 instances - AWS Identity and Access Management

IAM roles for Amazon EC2 - Amazon Elastic Compute Cloud

Security groups for your VPC - Amazon Virtual Private Cloud

What is AWS Firewall Manager? - AWS Firewall Manager

Connecting to your Linux instance using SSH - Amazon Elastic Compute Cloud

Moving to the AWS Cloud offers several advantages, including increased speed and agility, which allows users to experiment, innovate, and iterate faster by using the global AWS infrastructure. Additionally, AWS offers massive economies of scale due to its large customer base, leading to lower pay-as-you-go prices. AWS does not assume all responsibilities for the security of infrastructure and applications; it follows a shared responsibility model. Also, not all AWS services can be implemented in seconds, and physical hardware cannot be moved from a user’s data center to the AWS Cloud.

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

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.

Rehosting ("lift and shift") is a migration strategy where applications are moved to the cloud with minimal changes, making it the least effort-intensive method for applications incompatible with the cloud. Repurchasing involves moving to a different product, often a SaaS solution, which can also minimize migration effort by avoiding the need for application-level changes. Retiring, replatforming, and refactoring require significant effort either in terms of analyzing and shutting down the application, making changes to the underlying platform, or redesigning the application architecture, respectively.

Amazon AppStream 2.0 and Amazon WorkSpaces are AWS services that can be used to provide managed Windows virtual desktops and applications to remote employees over secure network connections. Amazon AppStream 2.0 is a fully managed application streaming service that allows users to access Windows desktop applications from any device, without installing or managing any software. Amazon AppStream 2.0 delivers applications over an encrypted connection and isolates them from the underlying infrastructure, ensuring security and compliance1. Amazon WorkSpaces is a fully managed desktop virtualization service that allows users to access Windows or Linux desktops from any device, with a consistent user experience. Amazon WorkSpaces provides persistent, cloud-based virtual desktops that can be customized and scaled according to the user’s needs. Amazon WorkSpaces also offers encryption, backup, and monitoring features to ensure security and reliability2. References:

Amazon AppStream 2.0

Amazon WorkSpaces

AWS Trusted Advisor is the service that can meet these requirements. AWS Trusted Advisor is a service that helps you optimize your AWS environment by providing recommendations based on AWS best practices. Trusted Advisor continuously evaluates your AWS resources and services across five categories: cost optimization, performance, service limits, fault tolerance, and security. You can view the recommendations on the Trusted Advisor console or access them programmatically using the Trusted Advisor API. You can also set up notifications and alerts for any changes in the status of your checks. Trusted Advisor can help you improve your AWS environment by reducing costs, enhancing performance, increasing security, and ensuring reliability12. The other services are not designed to provide best practice recommendations in five categories. AWS Shield is a service that protects your AWS resources from distributed denial-of-service (DDoS) attacks. AWS WAF is a service that helps you protect your web applications from common web exploits. AWS Service Catalog is a service that enables you to create and manage catalogs of IT services that are approved for use on AWS34 . References: AWS Trusted Advisor, Achieve operational excellence with AWS Trusted Advisor, AWS Shield, AWS WAF, [AWS Service Catalog]

AWS KMS is the service that is used to provide encryption for Amazon EBS. AWS KMS is a managed service that enables you to easily create and control the encryption keys used to encrypt your data.Amazon EBS uses AWS KMS to encrypt and decrypt your EBS volumes and snapshots. You can choose to use either the default AWS managed CMK or your own customer managed CMK for encryption. AWS KMS also provides features such as key rotation, audit logging, and access control policies to help you manage your encryption keys and protect your data12. The other services are not used to provide encryption for Amazon EBS. AWS Certificate Manager is a service that lets you provision, manage, and deploy public and private SSL/TLScertificates for use with AWS services and your internal connected resources3. AWS Systems Manager is a service that provides a unified user interface to view and manage your AWS resources, automate common operational tasks, and apply compliance policies4. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. References: Amazon EBS encryption, AWS Key Management Service, AWS Certificate Manager, AWS Systems Manager, [AWS Config]

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

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

AWS Elastic Beanstalkis a fully managed service designed for developers who want to deploy and manage their applications without having to provision and manage the underlying infrastructure themselves. Developers can simply upload their code, and Elastic Beanstalk automatically handles the deployment, including provisioning the necessary resources (such as EC2 instances, load balancers, and auto-scaling).

A. AWS CloudFormation: Incorrect, as it is an infrastructure-as-code service for defining and provisioning AWS resources but does not directly deploy applications.

B. AWS CodeBuild: Incorrect, as it is a service for building and testing code, not for deploying applications.

D. AWS CodeDeploy: Incorrect, as it is specifically designed for automating software deployments to a variety of compute services, including EC2, but it does not manage the underlying infrastructure.

AWS Cloud References:

AWS Elastic Beanstalk

According to theAWS Shared Responsibility Model, customers are responsible for managing their data, classifying their assets, and using AWS's identity and access management tools to apply the appropriate permissions. Implementingmulti-factor authentication (MFA) for IAM user accountsis a customer responsibility to enhance the security of their accounts and protect against unauthorized access.

A. Apply security patches for Amazon S3 infrastructure devices: Incorrect, as AWS is responsible for managing and patching the underlying infrastructure, including storage devices.

B. Provide physical security for AWS data centers: Incorrect, as AWS is responsible for the physical security of its data centers.

C. Install operating system updates on Lambda@Edge: Incorrect, as AWS manages the underlying infrastructure for Lambda@Edge, including operating system updates.

AWS Cloud References:

AWS Shared Responsibility Model

AWS re:Post is a no-cost platform for AWS users to join community groups, ask questions, find answers, and read community-generated articles about best practices. AWS re:Post is a social media platform that connects AWS users with each other and with AWS experts. Users can create posts, comment on posts, follow topics, and join groups related to AWS services, solutions, and use cases. AWS re:Post also features live event feeds, community stories, and AWS Hero profiles. AWSre:Post is a great way to learn from the AWS community, share your knowledge, and get inspired. References:

AWS re:Post

Join the Conversation

Consolidated billing is a feature of AWS Organizations that enables customers to consolidate billing and payment for multiple AWS accounts. With consolidated billing, customers can group multiple AWS accounts under one payer account, making it easier to manage billing and track costs across multiple accounts. Consolidated billing also offers benefits such as volume discounts, Reserved Instance discounts, and Savings Plans discounts. Consolidated billing is offered at no additional cost.

Multiple AWS accounts is a feature of AWS Organizations that enables customers to create and manage multiple AWS accounts from a central location. With multiple AWS accounts, customers can isolate workloads for different departments, projects, or environments, and apply granular access controls and policies to each account. Multiple AWS accounts also helps customers improve security, compliance, and governance of their AWS resources56. References: 5: Consolidated billing for AWS Organizations - AWS Billing, 6: Understanding Consolidated Bills - AWS Billing, 7: AWS Consolidated Billing: Tutorial & Best Practices, 8: Simplifying Your Bills With Consolidated Billing on AWS - Aimably, 9: AWS Consolidated Billing - W3Schools

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

AWS Service Catalog enables companies to create, manage, and distribute catalogs of approved infrastructure as code (IaC) templates and software configurations. This service supports infrastructure automation by allowing users to deploy resources using predefined templates, which align with the company's policies and best practices. It helps in managing cloud resources at scale by utilizing IaC principles, enabling consistent deployments, and enforcing governance across AWS resources. AWS Service Catalog is an excellent choice for organizations implementing IaC.

AWS Technical Account Managers (TAMs) are available to customers who subscribe to either theAWS Enterprise On-RamporAWS Enterprise Supportplans. TAMs provide proactive guidance and ongoing support, assisting with architecture reviews, operational performance improvements, and business reviews. TheBasicandDeveloperSupport plans do not include access to TAMs, and whileBusiness Supportoffers enhanced technical support, it does not include TAMs either.

Spot Instances provide a cost-effective option for running Amazon EC2 instances for workloads that can tolerate interruptions. They allow you to use unused EC2 capacity in the AWS Cloud at a discounted price, making them suitable for applications that are flexible in terms of start and stop times. On-Demand Instances are more expensive and do not provide discounts for short-term, interruptible workloads, while Reserved and Dedicated Instances are for long-term or specific hardware needs.

The set of tasks that would meet the requirement of having higher availability for a MySQL database running on a single Amazon EC2 instance is to migrate to Amazon RDS and enable Multi-AZ. Amazon RDS is a fully managed relational database service that supports MySQL and other popular database engines. By enabling Multi-AZ, users can have a primary database in one Availability Zone and a synchronous standby replica in another Availability Zone. In case of a planned or unplanned outage of the primary database, Amazon RDS automatically fails over to the standby replica with minimal disruption3. Adding an Application Load Balancer in front of the EC2 instance, configuring EC2 Auto Recovery to move the instance to another Availability Zone, or enabling termination protection for the EC2 instance would not provide higher availability for the database, as they do not address the single point of failure or data replication issues.

 Using AWS Artifact to access AWS documents about the compliance of the services, and getting the compliance of the application certified by a company assessor are actions that the company should take to meet the requirements of complying with credit card regulatory requirements. AWS Artifact is a service that provides on-demand access to AWS security and compliance reports and select online agreements. Reports available in AWS Artifact include our Service Organization Control (SOC) reports, Payment Card Industry (PCI) reports, and certifications from accreditation bodies across geographies and compliance verticals that validate the implementation and operating effectiveness of AWS security controls. AWS Artifact can help you demonstrate compliance with credit card regulatory requirements by providing you with proof that the AWS services and deployment are in compliance. Getting the compliance of the application certified by a company assessor is an action that the company should take to ensure that the application meets the specific requirements of the credit card industry. A company assessor is an independent third-party entity that is qualified to assess the compliance of the application with the relevant standards and regulations. Using Amazon Inspector to submit the application for certification is not an action that the company should take, because 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 practices, but it does not provide certification for the applications. Ensuring that the application’s underlying hardware components comply with requirements is not an action that the company should take, because the application is deployed on AWS, and AWS is responsible for the security and compliance of the underlying hardware components. This is part of the shared responsibility model, where AWS is responsible for security of the cloud, and customers are responsible for security in the cloud. Using AWS Security Hub to certify the compliance of the application is not an action that the company should take, because AWS Security Hub is a service that gives you a comprehensive view of your security posture acrossyour AWS accounts and helps you check your environment against security industry standards and best practices, but it does not provide certification for the applications.

The AWS Cloud benefit that describes the ability to acquire resources as they are needed and release resources when they are no longer needed is elasticity. Elasticity means that users can quickly add and remove resources to match the demand of their applications, and only pay for what they use. Elasticity enables users to handle unpredictable workloads, reduce costs, and improve performance1. Economies of scale, agility, and security are other benefits of the AWS Cloud, but they do not describe the specific ability of acquiring and releasing resources on demand.

 Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. CloudFront can cache web server content in edge locations, which are located closer to the end users, toimprove the web service’s performance globally2.

AWS IAM Access Analyzer is an AWS service that helps customers identify and review the resources in their AWS account that are shared with an external entity, such as another AWS account, a root user, an organization, or a public entity. AWS IAM Access Analyzer uses automated reasoning, a form of mathematical logic and inference, to analyze the resource-based policies in the account and generate comprehensive findings that show the access level, the source of the access, the affected resource, and the condition under which the access applies. Customers can use AWS IAM Access Analyzer to audit their shared resources, validate their access policies, and monitor any changes to the resource sharing status. References: AWSIAM Access Analyzer, Identify and review resources shared with external entities, How AWS IAM Access Analyzer works

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 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.

According to the AWS shared responsibility model, the customer is responsible for security in the cloud, which includes the tasks of configuring the AWS provided security group firewall and classifying company assets in the AWS Cloud. A security group is a virtual firewall that controls the inbound and outbound traffic for one or more EC2 instances. The customer must configure the security group rules to allow or deny traffic based on protocol, port, or source and destination IP address2 Classifying company assets in the AWS Cloud means identifying the types, categories, and sensitivity levels of the data and resources that the customer stores and processes on AWS. The customer must also determine the applicable compliance requirements and regulations that apply to their assets, and implement the appropriate security controls and measures to protect them

According to the AWS shared responsibility model, the customer is responsible for security in the cloud, which includes the tasks of managing data encryption and granting least privilege access to IAM users. Data encryption is the process of transforming data into an unreadable format that canonly be accessed with a key or a password. The customer must decide whether to encrypt their data at rest (when it is stored on AWS) or in transit (when it is moving between AWS and the customer or between AWS services). The customer must also choose the encryption method, algorithm, and key management solution that best suit their needs. AWS provides various services and features that support data encryption, such as AWS Key Management Service (AWS KMS), AWS Certificate Manager (ACM), and AWS Encryption SDK5 IAM users are entities that represent the people or applications that interact with AWS resources and services. The customer must grant the IAM users the minimum permissions that they need to perform their tasks, and avoid giving them unnecessary or excessive access. This is known as the principle of least privilege, and it helps reduce the risk of unauthorized or malicious actions. The customer can use IAM policies, roles, groups, and permissions boundaries to manage the access of IAM users.

Amazon Elastic File System (Amazon EFS) is a service that 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. You can use Amazon EFS to create a shared file system that can be available to both your on-premises data center and your AWS Cloud environment. Amazon Elastic Block Store (Amazon EBS) is a service that provides persistent block storage volumes for use with Amazon EC2 instances in the AWS Cloud. Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure, offering high availability and durability. However, Amazon EBS volumes are not shared file systems, and they cannot be available to both your on-premises data center and your AWS Cloud environment. Amazon S3 is a service that provides object storage through a web services interface. You can use Amazon S3 to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big dataanalytics. However, Amazon S3 is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment without additional configuration. Amazon ElastiCache is a service that enables you to seamlessly set up, run, and scale popular open-source compatible in-memory data stores in the cloud. You can use Amazon ElastiCache to improve the performance of your applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases. However, Amazon ElastiCache is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment.

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

Spot Instances are Amazon EC2 instances that are available at a discounted price compared to On-Demand pricing. Spot Instances use spare EC2 capacity that is not being used by other customers, and the price fluctuates based on supply and demand. Customers can request Spot Instances for their applications and specify the maximum price they are willing to pay per hour. If the Spot price is lower than the customer’s bid, the Spot Instance is launched and the customer pays the current Spot price. However, if the Spot price rises above the customer’s bid, the Spot Instance is terminated by AWS and the customer is charged for the partial hour of usage. Therefore, Spot Instances can provide discounts of up to 90% or more, but they are not suitable for applications that require continuous or predictable availability. Spot Instances arerecommended for applications that are flexible, fault-tolerant, or have low priority, such as batch processing, data analysis, or testing and development. 

 Amazon QuickSight is an AWS service that provides business intelligence and data visualization capabilities. Amazon QuickSight enables you to ingest, analyze, and display data from various sources, such as AWS Cost and Usage Reports, Amazon S3, Amazon Athena, Amazon Redshift, and Amazon RDS. You can use Amazon QuickSight to create interactive dashboards and charts that show insights and trends from your data. You can also share your dashboards and charts with other users or embed them into your applications.

 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.

B and D are correct because AWS availability and security enable customers to improve their SLAs while reducing risk and unplanned downtime1, and AWS reduces IT costs related to infrastructure, allowing customers to reinvest in other areas2. A is incorrect because migrating to the AWS Cloud does not automatically make applications available on mobile devices, as it depends on the application design and compatibility. C is incorrect because companies that migrate to the AWS Cloud still need to plan for high availability and disaster recovery, as AWS is a shared responsibility model3. E is incorrect because migrating to the AWS Cloud does not require companies to rearchitect and rewrite all enterprise applications, as AWS offers different migration strategies depending on the application complexity and business objectives4.

AWS Shield is a managed DDoS protection service that safeguards applications running on AWS from distributed denial of service (DDoS) attacks. DDoS attacks are malicious attempts to disrupt the normal functioning of a website or application by overwhelming it with a large volume of traffic from multiple sources. AWS Shield provides two tiers of protection: Standard and Advanced. AWS Shield Standard is automatically enabled for all AWS customers at no additional cost. It protects your AWS resources, such as Amazon CloudFront, AWS Global Accelerator, and Amazon Route 53, from the most common and frequently occurring network and transport layer DDoS attacks. AWS Shield Advanced is an optional paid service that provides additional protection for your AWS resources and applications, such as Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), and AWS Elastic Beanstalk. AWSShield Advanced offers enhanced detection and mitigation capabilities, 24/7 access to the AWS DDoS Response Team (DRT), real-time visibility and reporting, and cost protection against DDoS-related spikes in your AWS bill12

 AWS Shield, What is a DDOS Attack & How to Protect Your Site Against One

 The AWS service or feature that the company should use to categorize and track AWS usage cost based on business categories is cost allocation tags. Cost allocation tags are key-value pairs that users can attach to AWS resources to organize and track their AWS costs. Users can use cost allocation tags to filter and group their AWS costs by categories such as project, department, environment, or application. Users can also use cost allocation tags to generate detailed billing reports that show the costs associated with each tag3. AWS Organizations, AWS Security Hub, and AWS Cost and Usage Report are other AWS services or features that can help users with different aspects of their AWS usage, such as managing multiple accounts, monitoring security issues, or analyzing billing data, but they do not enable users to categorize and track AWS costs based on business categories.

AWS CloudFormation and AWS Cloud Development Kit (AWS CDK) are AWS services that can limit manual errors by consistently provisioning AWS resources in multiple environments. AWS CloudFormation is a service that enables you to model and provision AWS resources using templates. You can use AWS CloudFormation to define the AWS resources and their dependencies that you need for your applications, and to automate the creation and update of those resources across multiple environments, such as development, testing, and production. AWS CloudFormation helps you ensure that your AWS resources are configured consistently and correctly, and that you can easily replicate or modify them as needed. AWS Cloud Development Kit (AWS CDK) is a service that enables you to use familiar programming languages, such as Python, TypeScript, Java, and C#, to define and provision AWS resources. You can use AWS CDK to write code that synthesizes into AWS CloudFormation templates, and to leverage the existing libraries and tools of your preferred language. AWS CDK helps you reduce the complexity and errors of writing and maintaining AWS CloudFormation templates, and to apply the best practices and standards of software development to your AWS infrastructure.

Decoupling the components of an application means reducing the dependencies and interactions between them, which can improve the application’s reliability, scalability, and performance. Decoupling can be achieved by using services such as Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Lambda1

Amazon S3 is an AWS service that provides scalable, durable, and cost-effective object storage in the cloud. Amazon S3 can store any amount and type of data, such as server logs, and offers various storage classes with different performance and pricing characteristics. Amazon S3 is the most cost-effective option for storing server logs, as it offers low-cost storage classes, such as S3 Standard-Infrequent Access (S3 Standard-IA) and S3 Intelligent-Tiering, that are suitable for infrequently accessed or changing access patterns data. Amazon S3 also integrates with other AWS services, such as Amazon Athena and Amazon OpenSearch Service, that can query the server logs directly from S3 without requiring any additional data loading or transformation. References: Amazon S3, Amazon S3 Storage Classes, Querying Data in Amazon S3

The scenario represents the operational excellence pillar of the AWS Well-Architected Framework, which focuses on running and monitoring systems to deliver business value and continually improve supporting processes and procedures1. Security, performance efficiency, cost optimization, and reliability are the other four pillars of the framework1.

The correct answer is D. Platform.

The Platform perspective in the AWS Cloud Adoption Framework (AWS CAF) includes a capability for well-designed data and analytics architecture. This capability helps you design, implement, and optimize your data and analytics solutions on AWS, using services such as Amazon S3, Amazon Redshift, Amazon EMR, Amazon Kinesis, Amazon Athena, and Amazon QuickSight.A well-designed data and analytics architecture enables you to collect, store, process, analyze, and visualize data from various sources, and derive insights that can drive your business decisions12.

The Security perspective does not include a capability for data and analytics architecture, but it does include a capability for data protection, which helps you secure your data at rest and in transit using encryption, key management, access control, and auditing13.

The Governance perspective does not include a capability for data and analytics architecture, but it does include a capability for data governance, which helps you manage the quality, availability, usability, integrity, and security of your data assets14.

The Operations perspective does not include a capability for data and analytics architecture, but it does include a capability for data operations, which helps youmonitor, troubleshoot, and optimize the performance and availability of your data pipelines and workloads1.

 AWS Budgets allows you to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define. AWS Budgets provides you with a comprehensive view of your cost and usage, as well as your reservation utilization and coverage1.

The AWS best practice that ensures the most cost-effective architecture for the workload is rightsizing. Rightsizing means selecting the most appropriate instance type or resourceconfiguration that matches the needs of the workload. Rightsizing can help optimize performance and reduce costs by avoiding over-provisioning or under-provisioning of resources1. Loose coupling, caching, and redundancy are other AWS best practices that can improve the scalability, availability, and performance of the workload, but they do not necessarily ensure the most cost-effective architecture.

 Amazon QuickSight Q is a natural language query feature that lets you ask questions about your data using everyday language and get answers in seconds. You can type questions such as “What are the total sales by region?” or “How did marketing campaign A perform?” and get answers in the form of relevant visualizations, such as charts or tables. You can also use Q to drill down into details, filter data, or perform calculations. Q uses machine learning to understand your data and your intent, and provides suggestions and feedback to help you refine your questions.

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 VPN and AWS Direct Connect are two services that enable customers to connect their on-premises data center network to the AWS Cloud. AWS VPN establishes a secure and encrypted connection over the public internet, while AWS Direct Connect establishes a dedicated and private connection through a partner network. You can learn more about AWS VPN from [this webpage] or [this digital course]. You can learn more about AWS Direct Connect from [this webpage] or [this digital course].

The AWS service that the company should use to meet these requirements is A. AWS Snowmobile.

AWS Snowmobile is a service that allows you to migrate large amounts of data to AWS using a 45-foot long ruggedized shipping container that can store up to 100 petabytes of data. AWS Snowmobile is designed for situations where you need to move massive amounts of data to the cloud in a fast, secure, and cost-effective way.AWS Snowmobile has the least possible operational overhead because it eliminates the need to buy, configure, or manage hundreds or thousands of storage devices12.

AWS Snowball Edge is a service that allows you to migrate data to AWS using a physical device that can store up to 80 terabytes of data and has compute and storage capabilities to run applications on the device. AWS Snowball Edge is suitable for situations where you have limited or intermittent network connectivity, or where bandwidth costs are high.However, AWS Snowball Edge has more operational overhead than AWS Snowmobile because you need to request multiple devices and transfer your data onto them using the client3.

AWS Data Exchange is a service that allows you to find, subscribe to, and use third-party data in the cloud.AWS Data Exchange is not a data migration service, but rather a data marketplace that enables data providers and data consumers to exchange data sets securely and efficiently4.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.AWS DMS does not migrate file storage data, but rather supports various database platforms and engines as sources and targets5.

 Amazon S3 Glacier Deep Archive is a storage class within Amazon S3 that provides the lowest-cost, long-term data storage for data that is rarely accessed. AWS Snowball is a service that provides aphysical device for transferring large amounts of data into and out of AWS. Amazon MQ is a service that provides managed message broker service for Apache ActiveMQ. AWS Storage Gateway is a service that provides hybrid cloud storage for on-premises applications.

 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.

Auto Scaling groups are a feature that allows users to automatically scale the number of Amazon EC2 instances up or down based on demand or a predefined schedule. Auto Scaling groups can helpimprove the performance and availability of applications by adjusting the capacity in response to traffic fluctuations1. AWS Global Accelerator is a service that improves the availability and performance of applications by routing traffic through AWS edge locations2. Amazon Route 53 is a service that provides scalable and reliable domain name system (DNS) service3. An Elastic IP address is a static IPv4 address that can be associated with an Amazon EC2 instance4.

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 help you determine when an EBS volume was removed from an EC2 instance by providing a timeline of configuration changes and compliance status. AWS Trusted Advisor, Amazon Timestream, and Amazon QuickSight do not provide the same level of configuration tracking and auditing as AWS Config. Source: AWS Config

 Amazon CloudWatch and AWS CloudTrail are the AWS services that allow users to monitor and retain records of account activities that include governance, compliance, and auditing. Amazon CloudWatch is a service that collects and tracks metrics, collects and monitors log files, and sets alarms. AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. Amazon GuardDuty, AWS Shield, and AWS WAF are AWS services that provide security and protection for AWS resources, but they do not monitor and retain records of account activities. These concepts are explained in the AWS Cloud Practitioner Essentials course3.

AWS Identity and Access Management (IAM) is a web service that helps you securely control access to AWS resources for your users. You use IAM to control who can use your AWS resources (authentication) and what resources they can use and in what ways (authorization). IAM is always available free of charge to users4.

This is a benefit of using an AWS managed service, such as Amazon S3, Amazon DynamoDB, or AWS Lambda. AWS managed services are fully managed by AWS, which means that AWS handles the provisioning, scaling, patching, backup, and recovery of the underlying infrastructure and software. This reduces the operational overhead for the company’s IT staff, who can focus on their core business logic and innovation. You can learn more about the AWS managed services from this webpage or this digital course.

Amazon Inspector is the AWS service that can be used to perform vulnerability scans on AWS EC2 instances for software vulnerabilities automatically in a periodic fashion. Amazon Inspector automatically discovers EC2 instances and scans them for software vulnerabilities and unintended network exposure. Amazon Inspector uses AWS Systems Manager (SSM) and the SSM Agent to collect information about the software application inventory of the EC2 instances. This data is then scanned by Amazon Inspector for software vulnerabilities12. Amazon Inspector also integrates with other AWS services, such as AmazonEventBridge and AWS Security Hub, to automate discovery, expedite vulnerability routing, and shorten mean time to remediate (MTTR) vulnerabilities2.

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

One of the benefits of operating in the AWS Cloud is the ability to expand compute, storage, and memory when needed, which enables users to scale their applications and resources up or down based on demand. This also helps users optimize their costs and performance. The ability to migrate on-premises network devices to the AWS Cloud, the ability to host custom hardware in the AWS Cloud, and the ability to customize the underlying hypervisor layer for Amazon EC2 are not benefits of operating in the AWS Cloud, as they are either not possible or not recommended by AWS .

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.

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.

 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.

 Refine operation procedures frequently is one of the design principles of the operational excellence pillar of the AWS Well-Architected Framework. It means that users should continuously review and validate their operational processes to ensure that they are effective and that staff are familiar with them. It also means that users should identify and address any gaps or issues in their processes, and incorporate feedback and lessons learned from operational events5. Perform operations as code is another design principle of the operational excellence pillar, which means that users should automate and script their operational tasks to reduce human error and enable consistent and repeatable execution. Make frequent, small, reversible changes is a design principle of the reliability pillar, which means that users should deploy changes in small increments that can be easily tested and rolled back if necessary. Structure the company to support business outcomes is a design principle of the performance efficiency pillar, which means that users should align their organizational structure and culture with their business goals and cloud strategy.

AWS Enterprise Support plan is the highest level of support that AWS offers to its customers. One of the exclusive benefits of this plan is the access to a technical account manager (TAM), who is adedicated point of contact for guidance, advocacy, and support2. A technical project manager, a cloud support engineer, and a solutions architect are not exclusive benefits of the AWS Enterprise Support plan, as they are also available to customers with lower-tier support plans or through other AWS services or programs345.

AWS Systems Manager gives you visibility and control of your infrastructure on AWS. Systems Manager provides a unified user interface so you can view operational data from multiple AWS services and allows you to automate operational tasks across your AWS resources. You can use Systems Manager to apply OS patches, create system images, configure Windows and Linux operating systems, and execute PowerShell commands5. Systems Manager can help you ensure that all of your Amazon EC2 instances have compliant operating system patches by using the Patch Manager feature.

 This is a design principle of the operational excellence pillar of the AWS Well-Architected Framework. Performing operations as code means using scripts, templates, or automation tools to perform routine tasks, such as provisioning, configuration, deployment, and monitoring. This reduces human error, increases consistency, and enables faster recovery from failures. You can learn more about the operational excellence pillar from this whitepaper or this digital course.

AWS Marketplace is a digital catalog that offers thousands of software products and solutions from independent software vendors (ISVs) and AWS partners. Customers can use AWS Marketplace to find, buy, and deploy software on AWS. Some of the benefits of using AWS Marketplace are:

Speed of business: You can quickly and easily discover and deploy software that meets your business needs, without having to go through lengthy procurement processes. You can also use AWS Marketplace to test and compare different solutions before making a purchase decision.

Fewer legal objections: You can benefit from standardized contract terms and conditions that are pre-negotiated between AWS and the ISVs. This reduces the time and effort required to review and approve legal agreements.

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 Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

1: Time Series Database – Amazon Timestream – Amazon Web Services

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search fortext in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32.

Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33.

Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34.

The AWS service that should be used when a company needs to provide its remote employees with virtual desktops is Amazon WorkSpaces. Amazon WorkSpaces is a fully managed, secure desktop-as-a-service (DaaS) solution that runs on AWS. Amazon WorkSpaces allows users to provision cloud-based virtual desktops and provide their end users access to the documents, applications, and resources they need from any supported device, including Windows and Mac computers, Chromebooks, iPads, Fire tablets, and Android tablets4. Amazon Identity and Access Management (IAM), AWS Directory Service, and AWS IAM Identity Center (AWS Single Sign-On) are other AWS services related to identity and access management, but they do not provide virtual desktops.

To meet the goals for sustainability impact, the company should follow the best practices of scaling infrastructure with user load and eliminating creation and maintenance of unused assets. Scalinginfrastructure with user load means adjusting the capacity of the infrastructure to match the demand of the users, which can reduce the energy consumption and carbon footprint of the system. Eliminating creation and maintenance of unused assets means avoiding the waste of resources and money on assets that are not needed or used, which can also improve the environmental and economic efficiency of the system3.

Security groups are the AWS service or feature that can be used to apply security rules to specific Amazon EC2 instances. Security groups are virtual firewalls that control the inbound and outbound traffic for one or more instances. Customers can create security groups and add rules that reflect the role of the instance that is associated with the security group. For example, a web server instance needs security group rules that allow inbound HTTP and HTTPS access, while a database instance needs rules that allow access for the type of database12. Security groups are stateful, meaning that the responses to allowed inbound traffic are alsoallowed, regardless of the outbound rules1. Customers can assign multiple security groups to an instance, and the rules from each security group are effectively aggregated to create one set of rules1.

Network ACLs are another AWS service or feature that can be used to control the traffic for a subnet. Network ACLs are stateless, meaning that they do not track the traffic that they allow. Therefore, customers must add rules for both inbound and outbound traffic3. Network ACLs are applied at the subnet level, not at the instance level.

AWS Trusted Advisor is an AWS service that provides best practice recommendations for security, performance, cost optimization, and fault tolerance. AWS Trusted Advisor does not apply security rules to specific Amazon EC2 instances, but it can help customers identify security gaps and improve their security posture4.

AWS WAF is an AWS service that helps protect web applications from common web exploits, such as SQL injection, cross-site scripting, and bot attacks. AWS WAF does not apply security rules to specific Amazon EC2 instances, but it can be integrated with other AWS services, such as Amazon CloudFront, Amazon API Gateway, and Application Load Balancer.

 AWS Identity and Access Management (IAM) is a service that enables you to manage access to AWS services and resources securely. You can use IAM to perform the following actions:

Control access to AWS service APIs and to other specific resources: You can create users, groups, roles, and policies that define who can access which AWS resources and how. You can also use IAM to grant temporary access to users or applications that need to perform certain tasks on your behalf3

Protect the AWS environment using multi-factor authentication (MFA): You can enable MFA for your IAM users and root user to add an extra layer of security to your AWS account. MFA requires users to provide a unique authentication code from an approved device or SMS text message, in addition to their user name and password, when they sign in to AWS4

Amazon Aurora is a fully managed MySQL-compatible database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is part of the Amazon Relational Database Service (Amazon RDS) family, which means it inherits the benefits of a fully managed service, such as automated backups, patches, scaling, monitoring, and security. Amazon Aurora also offers up to five times the throughput of standard MySQL, as well as high availability, durability, and fault tolerance with up to 15 read replicas, cross-Region replication, and self-healing storage. Amazon Aurora is compatible with the latest versions of MySQL, as well as PostgreSQL, and supports various features and integrations that enhance its functionality and usability123

 Amazon Aurora, Amazon RDS, AWS — Amazon Aurora Overview

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.

 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.

S3 Versioning is a feature that allows you to keep multiple versions of an object in the same bucket. You can use S3 Versioning to protect your data from accidental deletion or overwriting by enabling it on a bucket or a specific object. S3 Versioning also allows you to restore previous versions of an object if needed. S3 Lifecycle rules are used to automate the transition of objects between storage classes or to expire objects after a certain period of time. S3 bucket policies are used to control access to the objects in a bucket. S3 server-side encryption is used toencrypt the data at rest in S3. References: S3 Versioning, S3 Lifecycle rules, S3 bucket policies, S3 server-side encryption

 Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for your AWS accounts, workloads, and data. Amazon GuardDuty analyzes and processes data sources, such as VPC Flow Logs, AWS CloudTrail event logs, and DNS logs, to identify malicious activities and unauthorized actions, such as reconnaissance, instance compromise, account compromise, and data exfiltration. Amazon GuardDuty can also detect threats to your data stored in Amazon S3, such as API calls from unusual locations or disabling of preventative controls. Amazon GuardDuty generates findings that summarize the details of the detected threats and provides recommendations for remediation. AWS Shield, AWS Firewall Manager, and Amazon Inspector are not the best services to meet this requirement. AWS Shield is a service that provides protection against distributed denial of service (DDoS) attacks. AWS Firewall Manager is a service that allows you to centrally configure and manage firewall rules across your accounts and resources. Amazon Inspector is a service that assesses the security and compliance of your applications running on EC2 instances.

Amazon EC2 is a service that provides resizable compute capacity in the cloud. Users can launch and manage virtual servers, known as instances, that run on the AWS infrastructure. Users are responsible for maintaining the underlying operating system of the instances, as well as any applications or software that run on them. Amazon DynamoDB is a service that provides a fully managed NoSQL database that delivers fast and consistent performance at any scale. Users do not need to manage the underlying operating system or the database software. Amazon S3 is a service that provides scalable and durable object storage in the cloud. Users do not need to manage the underlying operating system or the storage infrastructure. AWS Lambda is a service that allows users to run code without provisioning or managing servers. Users only need to upload their code and configure the triggers and parameters. AWS Lambda takes care of the underlying operating system and the execution environment.

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

Edge locations are sites that Amazon CloudFront uses to cache copies of your content for faster delivery to users at any location. You can use Amazon CloudFront to deliver your entire website, including dynamic, static, streaming, and interactive content using a global network of edge locations. Requests for your content are automatically routed to the nearest edge location, so content is delivered with the best possible performance3. Edge locations can also host AWS Lambda functions to perform compute operations for your web application as close to end users as possible4.

 Network ACLs (network access control lists) are an optional layer of security for your VPC that act as a firewall for controlling traffic in and out of one or more subnets. You can use network ACLs to allow or deny traffic based on protocol, port, or source and destination IP address. Network ACLs are stateless, meaning that they do not track the traffic that flows through them. Therefore, you must create rules for both inbound and outbound traffic.

Amazon S3 is a service that provides highly durable and cost-effective object storage for a variety of use cases, including backup and archive, big data analytics, disaster recovery, and cloud applications. Amazon S3 offers 99.999999999% (11 9’s) of durability, meaning that data is designed to withstand the loss of two facilities concurrently. Amazon S3 also offers several storage classes with different price and performance characteristics, such as S3 Glacier and S3 Glacier Deep Archive, which are ideal for long-term archival of data that is rarely accessed. AWS Snowball, AWS Storage Gateway, and Amazon Kinesis are not designed to provide the same level of durability and cost-effectiveness as Amazon S3 for storing call recordings for 6 years. Source: Amazon S3

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

Cloud fluency is a capability that belongs to the people perspective of the AWS Cloud Adoption Framework (AWS CAF). Cloud fluency is the ability of the workforce to understand the benefits, challenges, and best practices of cloud computing, and to apply them to their roles and responsibilities. Cloud fluency helps the organization to adopt a cloud mindset, culture, and skills, and to leverage the full potential of the cloud. Cloud fluency can be achieved through various methods, such as training, certification, mentoring, coaching, and hands-on experience. Cloud fluency is one of the four capabilities of the people perspective, along with culture, organizational structure, and leadership. The other three capabilities belong to different perspectives of the AWS CAF. Data architecture is a capability of the platform perspective, which helps you design and implement data solutions that meet your business and technical requirements. Event management is a capability of the operations perspective, which helps you monitor and respond to events that affect the availability, performance, and security of your cloud resources. Strategic partnership is a capability of the business perspective, which helps you establish and maintain relationships with external stakeholders, such as customers, partners, suppliers, and regulators, to create value and achieve your business goals. References: AWS Cloud Adoption Framework: People Perspective, AWS CAF - Cloud Adoption Framework - W3Schools

AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS). AWS Fargate allows you to run containers without having to manage servers or clusters of Amazon EC2 instances. With AWS Fargate, you only pay for the compute resources you use to run your containers, and you don’t need to worry about scaling, patching, securing, or maintaining the underlying infrastructure. AWS Fargate simplifies the deployment and management of containerized applications, and enables you to focus on building and running your applications instead of managing the infrastructure. References: AWS Fargate, What is AWS Fargate?

 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

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

 Security groups are the service or feature that meets the requirement of establishing a security layer in a VPC that will act as a firewall to control subnet traffic. Security groups are stateful firewalls that control the inbound and outbound traffic at the instance level. You can assign one or more security groups to each instance in a VPC, and specify the rules that allow or deny traffic based on the protocol, port, and source or destination. Security groups are associated with network interfaces, and therefore apply to all the instances in the subnets that use those network interfaces. Routing tables are used to direct traffic between subnets and gateways, not to filter traffic. Network ACLs are stateless firewalls that control the inbound and outbound traffic at the subnet level, but they are less granular and more cumbersome to manage than security groups. Amazon GuardDuty is a threat detection service that monitors your AWS account and workloads for malicious or unauthorized activity, not a firewall service.

 AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging

 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.

AWS Budgets gives you the ability to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define2.

 The benefit of the AWS Cloud that helps companies achieve lower usage costs because of the aggregate usage of all AWS users is economies of scale. Economies of scale means that AWS can achieve lower costs and higher efficiency by operating at a massive scale and passing the savings to the customers. AWS leverages the aggregate usage of all AWS users to negotiate better prices with hardware vendors, optimize power consumption, and improve operational processes. As a result, AWS can offer lower and more flexible pricing options to the customers, such as pay-as-you-go, reserved, and spot pricing models. No need to guess capacity, ability to go global in minutes, and increased speed and agility are other benefits of the AWS Cloud, but they are not directly related to the aggregate usage of all AWS users. No need to guess capacity means that AWS customers can avoid the risk of over-provisioning or under-provisioning resources, and scale up or down as needed. Ability to go global in minutes means that AWS customers can deploy their applications and data in multiple regions around the world, and deliver them to users with high performance and availability. Increased speed and agility means that AWS customers can quickly and easily provision and access AWS resources, and accelerate their innovation and time to market.

Cost optimization is the pillar of the AWS Well-Architected Framework that focuses on the return on investment of moving into the AWS Cloud. Cost optimization means that users can achieve the desired business outcomes at the lowest possible price point, while maintaining high performance and reliability. Cost optimization can be achieved by using various AWS features and best practices, such as pay-as-you-go pricing, right-sizing, elasticity, reserved instances, spot instances, cost allocation tags, cost and usage reports, and AWS Trusted Advisor. [AWS Well-Architected Framework] AWS Certified Cloud Practitioner - aws.amazon.com

 The AWS service that requires the customer to patch the guest operating system is Amazon EC2. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. The customer is responsible for patching and updating the guest operating system and any applications that run on the EC2 instances, as part of the security in the cloud. AWS Lambda, Amazon OpenSearch Service, and Amazon ElastiCache are not services that require the customer to patch the guest operating system. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. Amazon OpenSearch Service is a fully managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in the AWS Cloud. Amazon ElastiCache is a fully managed service that provides in-memory data store and cache solutions, such as Redis and Memcached. These services are managed by AWS, and AWS is responsible for patching and updating the underlying infrastructure and software.

 Server-side encryption with Amazon S3 managed encryption keys (SSE-S3) and server-side encryption with AWS KMS managed keys (SSE-KMS) are the encryption types that can be used to protect objects at rest in Amazon S3. Server-side encryption means that Amazon S3 encrypts the objects before saving them on disks and decrypts them when they are downloaded. SSE-S3 uses one master key per bucket that is managed by Amazon S3. SSE-KMS uses a customer master key (CMK) that is stored in AWS Key Management Service (AWS KMS) and provides additional benefits, such as audit trails and key rotation. For more information, see Protecting Data Using Server-Side Encryption and Protecting Data Using Encryption.

A benefit of decoupling an AWS Cloud architecture is the ability to upgrade components independently. Decoupling is a way of designing systems to reduce interdependencies and minimize the impact of changes. Decoupling allows components to interact with each other through well-defined interfaces, rather than direct references. This reduces the risk of failures and errors propagating across the system, and enables greater scalability, availability, and maintainability. By decoupling an AWS Cloud architecture, the user can upgrade or modify one component without affecting the other components5.

 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.

 The duties that are the responsibility of a company that is using AWS Lambda are security inside of code and writing and updating of code. AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers, scaling, or patching. AWS Lambda takes care of the security of the underlying infrastructure, such as the operating system, the network, and the firewall. However, the company is still responsible for the security of the code itself, such as encrypting sensitive data, validating input, and handling errors. The company is also responsible for writing and updating the code that defines the Lambda function, and choosing the runtime environment, such as Node.js, Python, or Java. AWS Lambda does not require the selection of CPU resources, as it automatically allocates them based on the memory configuration34

 Access to all AWS resources will be denied if a newly created IAM user has no IAM policy attached and logs in and attempts to view the AWS resources in the account. IAM policies are the way to grant permissions to IAM users, groups, and roles to access and manage AWS resources. By default, IAM users have no permissions, unless they are explicitly granted by an IAM policy. Therefore, a newly created IAM user without any IAM policy attached will not be able to view or perform anyactions on the AWS resources in the account. Access to the AWS billing services and AWS CLI will also be denied, unless the user has the necessary permissions.

 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.

Deploying the application by using multiple Availability Zones is the best way to increase resilience for the application. According to the Amazon RDS User Guide, "Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments. In a Multi-AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy, eliminate I/O freezes, and minimize latency spikes during system backups."4 Deploying a copy of the application in another AWS account, using multiple VPCs, or using multiple subnets do not provide the same level of resilience as using multiple Availability Zones.

AWS Pricing Calculator is a web-based planning tool that customers can use to create estimates for their AWS use cases. They can use it to model their solutions before building them, explore the AWS service price points, and review the calculations behind their estimates. Therefore, the correct answer is A. You can learn more about AWS Pricing Calculator and how it works.

 EFS Standard-Infrequent Access (EFS Standard-IA) is the storage class that meets the requirements of storing data across multiple Availability Zones in an AWS Region, that will not be accessed regularly but must be immediately retrievable, most cost-effectively. EFS Standard-IA is designed for files that are accessed less frequently, but still require the same high performance, low latency, and high availability as EFS Standard. EFS Standard-IA has a lower storage cost than EFS Standard, but charges a small additional fee for each access. EFS One Zone and EFS One Zone-IA store data in a single Availability Zone, which reduces the availability and durability compared to EFS Standard and EFS Standard-IA.

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.

 AWS Regions are geographic areas around the world where AWS has clusters of data centers. Each AWS Region consists of multiple, isolated, and physically separate AZ’s within a geographic area. By hosting the customer’s data in a specific AWS Region, the company can meet the requirement of hosting the data in the customer’s country. AWS Shield is a service that 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 protection. Amazon S3 Object Lock is afeature that allows you to store objects using a write-once-read-many (WORM) model. You can use it to prevent an object from being deleted or overwritten for a fixed amount of time or indefinitely. Placement groups are logical grouping of instances within a single Availability Zone. Placement groups enable applications to participate in a low-latency, 10 Gbps network. None of these services or infrastructure components can help the company host the customer’s data in a different country.

 The correct answers are A and C because Amazon EC2 Auto Scaling and resources that are distributed across multiple Availability Zones are AWS services and features that will improve availability and reduce the impact of failures for the web application. Amazon EC2 Auto Scaling is a service that enables users to automatically adjust the number of Amazon EC2 instances in response to changes in demand or performance. Amazon EC2 Auto Scaling helps users to maintain optimal availability and performance of their applications by adding or removing instances as needed. Resources that are distributed across multiple Availability Zones are AWS features that enable users to increase the fault tolerance and resilience of their applications. Availability Zones are isolated locations within an AWS Region that have independent power, cooling, and networking. Users can launch their resources, such as Amazon EC2 instances, in multiple Availability Zones to protect their applications from the failure of a single location. The other options are incorrect because they are not AWS services and features that will improve availability and reduce the impact of failures for the web application. VPC subnet ACLs are AWS features that enable users to control the inbound and outbound traffic to and from their subnets within a VPC. VPC subnet ACLs do not check the health of a service, but rather filter the network traffic based on rules. Configuration of AWS Server Migration Service (AWS SMS) is an AWS service that enables users to migrate their on-premises servers to AWS. Configuration of AWS SMS does not help to move the Amazon EC2 instances to a different AWS Region, but rather to migrate the servers from the source environment to AWS. Resources that are distributed across multiple AWS points of presence are AWS features that enable users to deliver content to their end users with low latency and high performance. AWS points of presence are edge locations that are part of the AWS Global Infrastructure. Users can use services such as Amazon CloudFront and AWS Global Accelerator to distribute their content across multiple AWS points of presence. Reference: Amazon EC2 Auto Scaling, [Regions, Availability Zones, and Local Zones]

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with 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. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers

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.

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.

 Applying security requirements at all layers of a process is a policy that complies with guidance in the security pillar of the AWS Well-Architected Framework. The security pillar of the AWS Well-Architected Framework provides best practices for securing the user’s data and systems in the AWS Cloud. One of the design principles of the security pillar is to apply security at all layers, which means that the user should implement defense-in-depth strategies and avoid relying on a single security mechanism. For example, the user should use multiple security controls, such as encryption, firewalls, identity and access management, and logging and monitoring, to protect their data and resources at different layers.

An Amazon Machine Image (AMI) is a deployable Amazon EC2 instance template that is prepackaged with software and security requirements. It provides the information required to launch an instance, which is a virtual server in the cloud. You can use an AMI to launch as many instances as you need. You can also create your own custom AMIs or use AMIs shared by other AWS users1.

 The services that can be used to deploy applications on AWS are:

AWS Elastic Beanstalk. This is a service that simplifies the deployment and management of web applications on AWS. Users can upload their application code and Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, monitoring, and health checking of the resources needed to run the application. Users can also retain full control and access to the underlying resources and customize their configuration settings. Elastic Beanstalk supports multiple platforms, such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. [AWS Elastic Beanstalk Overview] AWS Certified Cloud Practitioner - aws.amazon.com

AWS OpsWorks. This is a service that provides configuration management and automation for AWS resources. Users can define the application architecture and the configuration of each resource using Chef or Puppet, which are popular open-source automation platforms. OpsWorks then automatically creates and configures the resources according to the user’s specifications. OpsWorks also provides features such as auto scaling, monitoring, and integration with other AWS services. OpsWorks has two offerings: OpsWorks for Chef Automate and OpsWorks for Puppet Enterprise. [AWS OpsWorks Overview] AWS Certified Cloud Practitioner - aws.amazon.com

 The most cost-effective EC2 instance purchasing option for the company that needs to host a web server on Amazon EC2 instances for at least 1 year and cannot tolerate interruption is Partial Upfront Reserved Instances. Reserved Instances are a pricing model that offer significant discounts compared to On-Demand Instances in exchange for a commitment to use a specific amount of compute capacity for a fixed period of time (1 or 3 years). Partial Upfront Reserved Instances require customers to pay a portion of the total cost upfront, and the remaining cost in monthly installments over the term. This option offers a lower effective hourly rate than No Upfront Reserved Instances, which require no upfront payment but have higher monthly payments. On-Demand Instances and Spot Instances are not the best options for the company. On-Demand Instances are a pricing model that offer the most flexibility and no long-term commitment, but have the highest hourly rate. Spot Instances are a pricing model that offer the lowest cost, but are subject to interruption based on supply and demand34

An Availability Zone is one or more discrete data centers with redundant power, networking, and connectivity. Availability Zones are part of the AWS global infrastructure, which consists of AWS Regions, Availability Zones, and edge locations. 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. Availability Zones enable users to design and operate fault-tolerant and high-availability applications on AWS. AWS Global InfrastructureAWS Certified Cloud Practitioner - aws.amazon.com

 Patch management and configuration management are controls that are the responsibility of both AWS and AWS customers, according to the AWS shared responsibility model. Patch management is the process of applying updates to software and applications to fix vulnerabilities, bugs, or performance issues. Configuration management is the process of defining and maintaining the settings and parameters of systems and applications to ensure their consistency and reliability. AWS is responsible for patching and configuring the software and services that it manages, such as the AWS global infrastructure, the hypervisor, and the AWS managed services. The customer is responsible for patching and configuring the software and services that they manage, such as the guest operating system, the applications, and the AWS customer-managed services. Physical and environmental controls are the responsibility of AWS, according to the AWS shared responsibility model. Physical and environmental controls are the measures that protect the physical security and availability of the AWS global infrastructure, such as power, cooling, fire suppression, and access control. AWS is responsible for maintaining these controls and ensuring the resilience and reliability of the AWS Cloud. Account structures are the responsibility of the customer, according to the AWS shared responsibility model. Account structures are the ways that customers organize and manage their AWS accounts and resources, such as using AWS Organizations, IAM users and roles, resource tagging, and billing preferences. The customer is responsible for creating and configuring these structures and ensuring the security and governance of their AWS environment. Choice of the AWS Region where data is stored is the responsibility of the customer, according to the AWS sharedresponsibility model. AWS Regions are geographic areas that consist of multiple isolated Availability Zones. Customers can choose which AWS Region to store their data and run their applications, depending on their latency, compliance, and cost requirements. The customer is responsible for selecting the appropriate AWS Region and ensuring the data sovereignty and regulatory compliance of their data.

The correct answers are D and E because AWS offers high availability and AWS provides economies of scale are benefits that a company receives when it moves an on-premises production workload to AWS. High availability means that AWS has a global infrastructure that allows customers to deploy their applications and data across multiple regions and availability zones. This increases the fault tolerance and resilience of their applications and reduces the impact of failures. Economies of scale means that AWS can achieve lower variable costs than customers can get on their own. This allows customers to pay only for the resources they use and scale up or down as needed. The other options are incorrect because they are not benefits that a company receives when it moves an on-premises production workload to AWS. AWS trains the company’s staff on the use of all the AWS services is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS does provide various learning resources and training courses for customers, but it does nottrain the company’s staff on the use of all the AWS services. AWS manages all security in the cloud is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS is responsible for the security of the cloud, but the customer is responsible for the security in the cloud. AWS offers free support from technical account managers (TAMs) is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS does offer support from TAMs, but only for customers who have the AWS Enterprise Support plan, which is not free. Reference: What is Cloud Computing?, [AWS Shared Responsibility Model], [AWS Support Plans]

AWS Outposts is a service that offers fully managed and configurable compute and storage racks built with AWS-designed hardware that allow you to run your workloads on premises and seamlessly connect to AWS services in the cloud. AWS Outposts is ideal for workloads that require low latency, local data processing, or local data storage. With AWS Outposts, you can use the same AWS APIs, tools, and infrastructure across on premises and the cloud to deliver a truly consistent hybrid experience5. Availability Zones are isolated locations within each AWS Region that are engineered to be fault-tolerant and provide high availability. AWS Local Zones are extensions of AWS Regions that are placed closer to large population, industry, and IT centers where no AWS Region exists today. AWS Wavelength is a service that enables developers to build applications that deliver ultra-low latency to mobile devices and users by deploying AWS compute and storage at the edge of the 5G network. None of these services or features can help you host a critical application with minimum latency at a remote site that has a slow internet connection.

 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

 AWS is responsible for performing hardware maintenance in the AWS facilities that run the AWS Cloud. This is part of the shared responsibility model, where AWS is responsible for the security of the cloud, and the customer is responsible for security in the cloud. AWS is also responsible for the global infrastructure that runs all of the services offered in the AWS Cloud, including the hardware, software, networking, and facilities that run AWS Cloud services3. The customer is responsible for the guest operating system, including updates and security patches, as well as the web application and services developed with Docker4.

 AWS Organizations is an account management service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. AWS Organizationsincludes consolidated billing and account management capabilities that enable you to better meet the budgetary, security, and compliance needs of your business1.

 The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12

 Amazon Personalize is a fully managed machine learning service that customers can use to generate personalized recommendations for their users. It can also generate user segments based on the users’ affinity for certain items or item metadata. Amazon Personalize uses the customers’ data to train and deploy custom recommendation models that can be integrated into their applications. Therefore, the correct answer is B. You can learn more about Amazon Personalize and its use case.

The company should use AWS WAF to safeguard the website from SQL injection or cross-site scripting. 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, AWS Trusted Advisor, and Amazon Inspector 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. AWS Trusted Advisor is a service that provides best practice recommendations for cost optimization, performance, security, and fault tolerance. Amazon Inspector is a service that assesses the security and compliance of applications running on Amazon EC2 instances12

Amazon Route 53 is the AWS service that provides DNS resolution. DNS (Domain Name System) is a service that translates domain names into IP addresses. Amazon Route 53 is a highly available and scalable cloud DNS service that offers domain name registration, DNS routing, and health checking. Amazon Route 53 can route the traffic to various AWS services, such as Amazon EC2, Amazon S3, and Amazon CloudFront. Amazon Route 53 can also integrate with other AWS services, such as AWS Certificate Manager, AWS Shield, and AWS WAF. For more information, see [What is Amazon Route 53?] and [Amazon Route 53 Features].

 The correct answer is C because Amazon Cognito provides identity federation and user authentication for web and mobile applications. Amazon Cognito allows users to sign in with their social media, email, or online shopping accounts. The other options are incorrect because they do not provide identity federation or user authentication. AWS IAM Identity Center (AWS Single Sign-On) is a service that enables users to access multiple AWS accounts and applications with a single sign-on experience. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. AWS Identity and Access Management (IAM) is a service that enables users to manage access to AWS resources using users, groups, roles, and policies. Reference: Amazon Cognito FAQs

Amazon S3 is the most cost-effective service for storing offsite backups of on-premises infrastructure. Amazon S3 offers low-cost, durable, and scalable storage that can be accessed from anywhere over the internet. Amazon S3 also supports lifecycle policies, versioning, encryption, and cross-region replication to optimize the backup and recovery process. Amazon EFS, Amazon FSx, and Amazon EBS are more suitable for storing data that requires high performance, low latency, and frequent access12

 Security groups are virtual firewalls that control the inbound and outbound traffic for Amazon EC2 instances. They can be used to allow access to an Amazon EC2 instance through only a specific port, such as port 22 for SSH or port 80 for HTTP. Security groups cannot deny access to malicious IP addresses at a subnet level, as they only allow or deny traffic based on the rules defined by the customer. To block malicious IP addresses, customers can use network ACLs, which are stateless firewalls that can be applied to subnets. Security groups cannot protect data that is cached by Amazon CloudFront, as they only apply to EC2 instances. To protect data that is cached by Amazon CloudFront, customers can use encryption, signed URLs, or signed cookies. Security groups are not stateless firewalls, as they track the state of the traffic and automatically allow the response traffic to flow back to the source. Stateless firewalls do not track the state of the traffic and require rules for both inbound and outbound traffic.

The advantages of moving to the AWS Cloud are the ability to use the pay-as-you-go model and no longer having to guess what capacity will be required. The pay-as-you-go model allows the user to pay only for the resources they use, without any upfront or long-term commitments. This reduces the cost and risk of over-provisioning or under-provisioning resources. No longer having to guess what capacity will be required means that the user can scale their resources up or down according to the demand, without wasting money on idle resources or losing customers due to insufficient capacity4.

 The correct answer is B because AWS CloudTrail is an AWS service that a cloud engineer can use to view API calls to AWS services. AWS CloudTrail is a service that enables customers to track user activity and API usage across their AWS account. AWS CloudTrail records the details of every API call made to AWS services, such as the identity of the caller, the time of the call, the source IP address of the caller, the parameters and responses of the call, and more. Customers can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not AWS services that a cloud engineer can use to view API calls to AWS services. Amazon CloudWatch is an AWS service that enables customers to collect, analyze, and visualize metrics, logs, and events from their AWS resources and applications. AWS Config is an AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Artifact is an AWS service that provides customers with on-demand access to AWS compliance reports and select online agreements. Reference: AWS CloudTrail FAQs

 AWS Direct Connect gives users the ability to provision a dedicated and private network connection from their internal network to AWS. AWS Direct Connect links the user’s internal network to an AWSDirect Connect location over a standard Ethernet fiber-optic cable. One end of the cable is connected to the user’s router, the other to an AWS Direct Connect router. With this connection in place, the user can create virtual interfaces directly to the AWS cloud and Amazon Virtual Private Cloud (Amazon VPC), bypassing internet service providers in the network path2.

The correct answers are A and B because Amazon Aurora and Amazon RDS are AWS services that the company could use for the relational databases. Amazon Aurora is a relational database that is compatible with MySQL and PostgreSQL. Amazon Aurora is a fully managed, scalable, and high-performance service that offers up to five times the throughput of standard MySQL and up to three times the throughput of standard PostgreSQL. Amazon RDS is a service that enables users to set up, operate, and scale relational databases in the cloud. Amazon RDS supports six popular database engines: MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, and Amazon Aurora. The other options are incorrect because they are not AWS services that the company could use for the relational databases. Amazon DocumentDB (with MongoDB compatibility) is a document database that is compatible with MongoDB. Amazon Neptune is a graph database that supports property graph and RDF models. Amazon DynamoDB is a key-value and document database. Reference: Amazon Aurora, Amazon RDS

 Amazon Elastic Container Service (Amazon ECS) is a solution that meets the requirements of deploying and managing a Docker-based application on AWS with the least amount of operational overhead. Amazon ECS is a fully managed container orchestration service that makes it easy to run, scale, and secure Docker container applications on AWS. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure. With simple API calls, you can launch and stop container-enabled applications, query the complete state of your cluster, and access many familiar features likesecurity groups, Elastic Load Balancing, EBS volumes, and IAM roles3.

Amazon Virtual Private Cloud (Amazon VPC) is the AWS service that allows customers to create multiple isolated networks in the same AWS account. A VPC is a logically isolated section of the AWS Cloud where customers can launch AWS resources in a virtual network that they define. Customers can create multiple VPCs within an AWS account, each with its own IP address range, subnets, route tables, security groups, network access control lists, gateways, and other components. AWS Transit Gateway, Internet gateway, and Amazon EC2 are not services or components that provide the functionality of creating multiple isolated networks in the same AWS account. AWS Transit Gateway is a service that enables customers to connect their Amazon VPCs and their on-premises networks to a single gateway. An Internet gateway is a component that enables communication between instances in a VPC and the Internet. Amazon EC2 is a service that provides scalable compute capacity in the cloud34

Outbound data transfers without acceleration and compute resources that are currently in use are the factors that affect costs in the AWS Cloud. Outbound data transfers without acceleration refer to the amount of data that is transferred from AWS to the internet, without using any service that can optimize the speed and cost of the data transfer, such as AWS Global Accelerator or Amazon CloudFront. Outbound data transfers are charged at different rates depending on the source and destination AWS Regions, and the volume of data transferred. Compute resources that are currently in use refer to the AWS services and resources that provide computing capacity, such as Amazon EC2 instances, AWS Lambda functions, or Amazon ECS tasks. Compute resources are charged based on the type, size, and configuration of the resources, and the duration and frequency of their usage.

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

 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.

 AWS Organizations is a service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. With AWS Organizations, you can apply service control policies (SCPs) across multiple AWS accounts to restrict what services and actions users and roles can access. You can also use AWS Organizations to enable features such as consolidated billing, AWS Config rules and conformance packs, and AWS CloudFormation StackSets across multiple accounts3. One of the benefits of using AWS Organizations is that you can share your Reserved Instances (RIs) with all of the accounts in your organization. This enables you to take advantage of the billing benefits of RIs without having to specify which account will use them4. AWS Systems Manager is a service that gives you visibility and control of your infrastructure on AWS. Cost Explorer is a tool that enables you to visualize, understand, and manage your AWS costs and usage over time. AWS Trusted Advisor is a service that provides real-time guidance to help you provision your resources following AWS best practices. None of these services or tools can help you manage the AWS accounts for all the departments so that the departments can share the Reserved Instances.

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.

AWS Systems Manager is a service that enables users to centralize and automate the management of their AWS resources. It provides a unified user interface to view operational data, such as inventory, patch compliance, and performance metrics. It also allows users to automate common and repetitive tasks, such as patching, backup, and configuration management, across all of their Amazon EC2 instances1. AWS Trusted Advisor is a service that provides best practices and recommendations to optimize the performance, security, and cost of AWS resources2. AWS CodeDeploy is a service that automates the deployment of code and applications to Amazon EC2 instances or other compute services3. AWS Elastic Beanstalk is a service that simplifies the deployment andmanagement of web applications using popular platforms, such as Java, PHP, and Node.js4.

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.

The AWS best practice for using the AWS account root user credentials is to use them only when they alone must be used to perform a required function. The AWS account root user credentials have full access to all the resources in the account, and therefore pose a security risk if compromised or misused. You should create individual IAM users with the minimum necessary permissions for everyday tasks, and use AWS Organizations to manage multiple accounts. You should also enable multi-factor authentication (MFA) and rotate the password for the root user regularly. Some of the functions that require the root user credentials are changing the account name, closing the account, changing the support plan, and restoring an IAM user’s access.

Amazon Simple Notification Service (Amazon SNS) is the AWS service or feature that is used to send both text and email messages from distributed applications. Amazon SNS is a fully managed pub/sub messaging service that enables the user to send messages to multiple subscribers or endpoints, such as email addresses, phone numbers, HTTP endpoints, AWS Lambda functions, and more. Amazon SNS can be used to send notifications, alerts, confirmations, and reminders from applications to users or other applications4.

 Pay-as-you-go pricing is the feature of the AWS Cloud that gives users the ability to pay based on current needs rather than forecasted needs. Pay-as-you-go pricing means that users only pay for theAWS services and resources they use, without any upfront or long-term commitments. This allows users to scale up or down their usage depending on their changing business requirements, and avoid paying for idle or unused capacity. Pay-as-you-go pricing also enables users to benefit from the economies of scale and lower costs of AWS as they grow their business5

The correct answer is B because placing the EC2 instances in two separate Availability Zones within the same AWS Region is the best way to meet the requirement. Availability Zones are isolated locations within an AWS Region that have independent power, cooling, and networking. Users can launch their resources, such as Amazon EC2 instances, in multiple Availability Zones to increase the fault tolerance and resilience of their applications. Availability Zones within the same AWS Region are connected with low-latency, high-throughput, and highly redundant networking. The other options are incorrect because they are not the best ways to meet the requirement. Placing the EC2 instances in two separate AWS Regions connected with a VPC peering connection is not the best way to meet the requirement because AWS Regions are geographically dispersed and may have higher communication latency between them than Availability Zones within the same AWS Region. VPC peering connection is a networking connection between two VPCs that enables users to route traffic between them using private IP addresses. Placing one EC2 instance on premises and the other in an AWS Region, and then connecting them by using an AWS VPN connection is not the best way to meet the requirement because on-premises and AWS Region are geographically dispersed and may have higher communication latency between them than Availability Zones within the same AWS Region. AWS VPN connection is a secure and encrypted connection between a user’s network and their VPC. Placing both EC2 instances in a placement group for dedicated bandwidth is not the best way to meet the requirement because a placement group is a logical grouping of instances within a single Availability Zone that enables users to launch instances with specific performance characteristics. A placement group does not ensure that the instances are in separate data centers, and it does not provide low-latency communication between instances in different AvailabilityZones. Reference: [Regions, Availability Zones, and Local Zones], [VPC Peering], [AWS VPN], [Placement Groups]

 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.

 Amazon Elastic File System (Amazon EFS) and Amazon FSx offer file storage. File storage is a type of storage that organizes data into files and folders, and allows multiple users or applications to access and share the same files over a network. Amazon EFS is a fully managed, scalable, and elastic file system that supports the Network File System (NFS) protocol and can be used with Amazon EC2 instances and AWS Lambda functions. Amazon FSx is a fully managed service that provides two file system options: Amazon FSx for Windows File Server, which supports the Server Message Block(SMB) protocol and is compatible with Microsoft Windows applications; and Amazon FSx for Lustre, which is a high-performance file system that is optimized for compute-intensive workloads

 The correct answer is B because ensuring the environmental safety and security of the AWS infrastructure that hosts Workspaces is the responsibility of AWS, 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 the responsibility of the customer, according to the AWS shared responsibility model. Setting up multi-factor authentication (MFA) for each Workspaces user account, providing security for Workspaces user accounts through AWS Identity and Access Management (IAM), configuring AWS CloudTrail to log API calls and user activity, and encrypting data at rest and in transit are all tasks that the customer has to perform to secure their Workspaces environment. Reference: AWS Shared Responsibility Model, Amazon WorkSpaces Security

 AWS Organizations is a service that helps you centrally manage and govern your environment as you grow and scale your AWS resources. You can use AWS Organizations to create groups of accounts and apply policies to them. You can also use AWS Organizations to consolidate billing for multiple accounts. Therefore, the correct answer is B. You can learn more about AWS Organizations and its features .

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.

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.

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

Amazon RDS provides a managed database service that supports MariaDB with minimal operational overhead. It handles routine database tasks such as backups, patching, and scaling, reducing the burden on users. Amazon Neptune and DynamoDB are not compatible with MariaDB, and Amazon S3 is not a relational database service.

AWS Artifact Overview:

AWS Artifact is a service that provides on-demand access to AWS compliance documentation and agreements.

It includes reports such as PCI DSS, SOC, and ISO certifications.

How AWS Artifact Meets the Requirement:

The PCI DSS compliance documentation can be downloaded directly from the Artifact console.

Artifact helps customers demonstrate compliance to auditors by providing official certifications and attestations.

Why Other Options Are Incorrect:

B. AWS Organizations:Used for managing accounts, not compliance reports.

C. AWS Trusted Advisor:Offers best practice checks but does not provide compliance documentation.

D. AWS Support Center:Provides customer support and ticket management but not compliance documentation.

AWS Storage Gateway provides on-premises applications with low-latency access to data stored in AWS by caching frequently accessed data locally. It seamlessly integrates on-premises environments with cloud storage, enabling hybrid storage solutions. AWS DataSync is for data transfer, CloudFront is a content delivery network, and AWS Backup is for backup management, not low-latency access.

AWS Shared Responsibility Model Overview:

AWS manages securityofthe cloud, including physical infrastructure and foundational services.

Customers are responsible for securityinthe cloud, which includes operating system configuration, data encryption, and application patch management.

Why Patch Management Is Shared:

AWS is responsible for patching the underlying infrastructure.

Customers are responsible for patching the operating system and applications they install on their resources (e.g., EC2 instances).

Why Other Options Are Incorrect:

A. Configuration of Amazon EC2 instance operating systems:Fully the customer’s responsibility.

B. Application file system server-side encryption:Customers configure and manage encryption.

D. Security of the physical infrastructure:Fully AWS’s responsibility.

For a reporting application that runs only periodically, On-Demand Instances are the most cost-effective choice because they allow the company to pay only for the compute capacity used, without long-term commitments. Reserved Instances are less flexible due to the need for upfront payment or long-term contracts, which would not be cost-effective given the application’s intermittent usage. On-Demand Capacity Reservations would also be more costly, as they hold capacity regardless of usage.

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.

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.

AWS Config enables users to assess, audit, and evaluate the configurations of AWS resources. It provides information that can be used by external auditors to ensure compliance with various regulatory requirements by tracking changes and maintaining configuration history. Amazon Cognito, FSx, and Inspector do not provide detailed configuration tracking for audit purposes.

Using multiple Availability Zones within the same AWS Region meets the requirements for having instances in different locations with independent power and networking. Availability Zones are distinct physical locations within a region, each with separate power sources and networking. Edge locations are used for content delivery, and Amazon Connect and AWS Artifact locations are not relevant to EC2 deployment and infrastructure.

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.

Amazon S3 Glacier Flexible Retrieval is optimized for storing infrequently accessed data at a very low cost, making it suitable for data archiving and long-term backups. It provides flexible retrieval options for archived data. Other services like FSx for Lustre, EBS, and EFS are more suited for frequently accessed data and higher-performance use cases, not archival storage.

Amazon CloudFront is a content delivery network (CDN) that uses edge locations to cache content closer to users, reducing latency and improving performance. It supports the delivery of web content, such as videos and images, by caching copies at edge locations around the world. Amazon Kinesis, SQS, and Route 53 do not utilize edge locations for content caching.

SSH keys provide secure login for Linux-based Amazon EC2 instances by establishing a secure connection over SSH (Secure Shell), protecting login credentials from interception. VPNs and encryption enhance security in other contexts, but SSH keys are the standard approach for accessing Linux EC2 instances. Amazon Route 53 is unrelated to EC2 instance access.

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.

Amazon Rekognition is a machine learning service that can analyze and recognize objects, people, text, scenes, and activities in images and videos. It is specifically designed for organizing, categorizing, and searching large volumes of images based on various attributes. Amazon Transcribe is for speech-to-text, Amazon Aurora is a relational database service, and Amazon QuickSight is a business intelligence tool for data visualization.

On-Demand Instances are most cost-effective for short-term, steady, and unpredictable workloads. Using them for a one-month testing period allows flexibility without a long-term commitment. For long-term workloads (like a year or more), Reserved Instances or Savings Plans would be more cost-effective. Spot Instances are better for interruptible, flexible workloads.

Amazon EventBridge Overview:

EventBridge is a serverless event bus that enables applications to react to changes in AWS resources.

It supports routing events such as EC2 state changes to various targets, including AWS Step Functions.

How EventBridge Meets the Requirement:

EventBridge can capture the EC2 instance state change event and trigger the execution of a Step Functions workflow.

The integration is seamless and supports workflows triggered by multiple event sources.

Why Other Options Are Incorrect:

A. Amazon SageMaker:Used for building, training, and deploying machine learning models; not related to event triggers.

B. Amazon Connect:A cloud-based contact center service; unrelated to event triggers.

D. AWS Fargate:A compute engine for containers; does not manage events or invoke workflows.

Amazon Route 53 is a scalable Domain Name System (DNS) web service that routes end-user requests to infrastructure running in AWS. It is specifically designed to host domain names and manage DNS records, making it the ideal service for hosting the domain name of a public website. AWS Lambda, CloudFront, and Direct Connect serve different functions and are not DNS hosting services.

AWS Systems Manager offers the capability to automate patching for Amazon EC2 instances, including Windows instances, through Patch Manager. It can automate patching tasks, schedule updates, and apply patches based on specified baselines. AWS Organizations and Control Tower focus on account management and governance, while Elastic Load Balancing (ELB) is unrelated to patch management.

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 DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both document and key-value data models and is designed to handle large amounts of data across multiple servers. Other options, like Amazon RDS and Aurora, are managed relational database services, and Amazon Redshift is a data warehousing service.

AWS IAM Identity Center provides centralized access management across multiple AWS accounts, enabling organizations to manage employee access efficiently. It is specifically designed for this purpose within AWS Organizations. AWS STS provides temporary credentials but does not manage multiple account access centrally, while IAM Access Analyzer and Secrets Manager serve different purposes related to access and secret management.

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.

AWS CloudFormation allows developers to create, manage, and deploy AWS resources using templates, ensuring a standardized and repeatable infrastructure setup. It’s ideal for setting up development, test, and production environments consistently. AWS Cloud Map, CloudFront, and CloudTrail do not provide templated infrastructure management capabilities.

Savings Plans offer cost savings for predictable, steady workloads over a one or three-year term, with flexibility in instance family and size, making them suitable for critical workloads on EC2 instances that will run for a long term like three years. Spot Instances are more cost-effective but not suitable forcritical, predictable workloads due to potential interruptions. Dedicated Hosts and On-Demand Instances would be more costly.

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 Migration Hub assists users in planning and tracking the progress of their server and application migrations. It centralizes migration tracking across various AWS services, providing visibility into application inventory and migration status. While AWS Application Migration Service also assists with migrations, Migration Hub is specifically designed for tracking migration data comprehensively.