AWS Certified Professional SAP-C02 Passing Score

AWS Certified Solutions Architect - Professional Questions and Answers

Question 137

A company is hosting a three-tier web application in an on-premises environment. Due to a recentsurge in traffic that resulted in downtime and a significant financial impact, company management has ordered that the application be moved to AWS. The application is written in .NET and has a dependency on a MySQL database A solutions architect must design a scalable and highly available solution to meet the demand of 200000 daily users.

Which steps should the solutions architect take to design an appropriate solution?

Options:

Use AWS Elastic Beanstalk to create a new application with a web server environment and an Amazon RDS MySQL Multi-AZ DB instance The environment should launch a Network Load Balancer (NLB) in front of an Amazon EC2 Auto Scaling group in multiple Availability Zones Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the NLB.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones. The stack should launch a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy. Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

Use AWS Elastic Beanstalk to create an automatically scaling web server environment that spans two separate Regions with an Application Load Balancer (ALB) in each Region. Create a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a cross-Region read replica Use Amazon Route 53 with a geoproximity routing policy to route traffic between the two Regions.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon ECS cluster of Spot Instances spanning three Availability Zones The stack should launch an Amazon RDS MySQL DB instance with a Snapshot deletion policy Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

Question 138

A company runs a web-crawling process on a list of target URLs to obtain training documents for machine learning (ML) training algorithms. A fleet of Amazon EC2 t2.micro instances pulls the target URLs from an Amazon SQS queue. The instances write the result of the crawling algorithm as a CSV file to an Amazon EFS volume. The EFS volume is mounted on all instances in the fleet.

A second system occasionally adds the URLs to the SQS queue. The EC2 instances crawl each new URL in 10 seconds or less.

Metrics indicate that some instances are idle when no URLs are in the SQS queue. A solutions architect needs to redesign the architecture to optimize costs.

Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

Options:

Use m5.8xlarge instances instead of t2.micro instances for the web-crawling process. Reduce the number of instances in the fleet by 50%.

Use an AWS Lambda function to run the web-crawling process. Configure the Lambda function to pull URLs from the SQS queue.

Modify the web-crawling process to store results in Amazon Neptune.

Modify the web-crawling process to store results in an Amazon Aurora Serverless MySQL instance.

Modify the web-crawling process to store results in Amazon S3.

Answer:

B, E

Explanation:

The current architecture uses a fleet of small EC2 instances that poll SQS for URLs and write results to EFS. Because URLs arrive only occasionally and each crawl takes 10 seconds or less, EC2 instances are often idle waiting for messages. This leads to unnecessary compute and storage costs.

This workload is naturally event-driven: each URL in the SQS queue triggers a short-lived crawl operation. AWS Lambda is well suited for such event-driven, short-duration tasks. Lambda integrates natively with Amazon SQS as an event source, which allows Lambda to poll the SQS queue automatically and invoke functions when messages arrive, scaling the concurrency up and down as needed. When there are no messages, there are no Lambda invocations and no compute charges, eliminating the cost of idle EC2 instances.

For storage of crawl results, Amazon S3 is a highly durable, cost-effective object store. The current use of an EFS file system mounted on all instances is no longer necessary if each Lambda invocation can write the output directly to S3 as objects (for example, CSV files). S3 charges only for the storage used and requests, and does not require continuously running file system infrastructure.

Option B replaces the idle fleet of EC2 instances with a Lambda function that reads from SQS. This aligns compute usage with actual work and takes advantage of serverless scaling and pricing.

Option E modifies the web-crawling process to store results in Amazon S3 instead of EFS, removing the need to maintain an EFS file system and its associated costs.

Option A increases instance size to m5.8xlarge, which greatly increases capacity and cost. Reducing the number of instances by 50% does not offset the large increase in instance size; it does not address idle capacity and likely increases overall cost.

Option C uses Amazon Neptune, which is a managed graph database service. It is not needed for storing simple CSV output; it is more complex and more expensive than S3 for this use case.

Option D uses Aurora Serverless MySQL. While Aurora Serverless can automatically scale, using a relational database to store simple crawl outputs adds unnecessary cost and operational complexity compared to S3 objects.

Therefore, moving the crawling logic to Lambda triggered by SQS (option B) and writing results directly to Amazon S3 (option E) meets the requirements in the most cost-effective way.

[References:AWS documentation on using Amazon SQS as an event source for AWS Lambda for event-driven processing.AWS documentation on Amazon S3 for durable, low-cost object storage for analytical and application data., , ]

Question 139

A company has multiple applications that run on Amazon EC2 instances in private subnets in a VPC. The company has deployed multiple NAT gateways in multiple Availability Zones for internet access. The company wants to block certain websites from being accessed through the NAT gateways. The company also wants to identify the internet destinations that the EC2 instances access.

The company has already created VPC flow logs for the NAT gateways ' elastic network interfaces. Which solution will meet these requirements?

Options:

Use Amazon CloudWatch Logs Insights to query the logs and determine the internet destinations that the EC2 instances communicate with. Use AWS Network Firewall to blockthe websites.

Use Amazon CloudWatch Logs Insights to query the logs and determine the internet destinations that the EC2 instances communicate with. Use AWS WAF to block the websites.

Use the BytesInFromSource and BytesInFromDestination Amazon CloudWatch metrics to determine the internet destinations that the EC2 instances communicate with. Use AWS Network Firewall to block the websites.

Use the BytesInFromSource and BytesInFromDestination Amazon CloudWatch metrics to determine the internet destinations that the EC2 instances communicate with. Use AWS WAF to block the websites.

Question 140

A video processing company wants to build a machine learning (ML) model by using 600 TB of compressed data that is stored as thousands of files in the company ' s on-premises network attached storage system. The company does not have the necessary compute resources on premises for ML experiments and wants to use AWS.

The company needs to complete the data transfer to AWS within 3 weeks. The data transfer will be a one-time transfer. The data must be encrypted in transit. The measured upload speed of the company ' s internet connection is 100 Mbps, and multiple departments share the connection.

Which solution will meet these requirements MOST cost-effectively?

Options:

Order several AWS Snowball Edge Storage Optimized devices by using the AWS ManagementConsole. Configure the devices with a destination S3 bucket. Copy the data to the devices. Ship the devices back to AWS.

Set up a 10 Gbps AWS Direct Connect connection between the company location and the nearest AWS Region. Transfer the data over a VPN connection into the Region to store the data in Amazon S3.

Create a VPN connection between the on-premises network storage and the nearest AWS Region. Transfer the data over the VPN connection.

Deploy an AWS Storage Gateway file gateway on premises. Configure the file gateway with a destination S3 bucket. Copy the data to the file gateway.

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AWS Certified Professional SAP-C02 Passing Score

AWS Certified Solutions Architect - Professional Questions and Answers

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CompTIA

Fortinet

Microsoft

Salesforce