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AWS Certified Professional SAP-C02 Book

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AWS Certified Solutions Architect - Professional Questions and Answers

Question 177

A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.

How can this be accomplished?

Options:

A.

Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.

B.

Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

C.

Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.

D.

Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Question 178

A company is planning to migrate an application to AWS. The application runs as a Docker container and uses an NFS version 4 file share.

A solutions architect must design a secure and scalable containerized solution that does not require provisioning or management of the underlying infrastructure.

Which solution will meet these requirements?

Options:

A.

Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon Elastic File System (Amazon EFS) for shared storage. Reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.

B.

Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon FSx for Lustre for shared storage. Reference the FSx for Lustre file system ID, container mount point, and FSx for Lustre authorization IAM role in the ECS task definition.

C.

Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic File System (Amazon EFS) for shared storage. Mount the EFS file system on the ECS container instances. Add the EFS authorization IAM role to the EC2 instance profile.

D.

Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic Block Store (Amazon EBS) volumes with Multi-Attach enabled for shared storage. Attach the EBS volumes to ECS container instances. Add the EBS authorization IAM role to an EC2 instance profile.

Question 179

A company recently started hosting new application workloads in the AWS Cloud. The company is using Amazon EC2 instances, Amazon Elastic File System (Amazon EFS) file systems, and Amazon RDS DB instances.

To meet regulatory and business requirements, the company must make the following changes for data backups:

* Backups must be retained based on custom daily, weekly, and monthlyrequirements.

* Backups must be replicated to at least one other AWS Region immediately after capture.

* The backup solution must provide a single source of backup status across the AWS environment.

* The backup solution must send immediate notifications upon failure of any resource backup.

Which combination of steps will meet this requirement with the LEAST amount of operational overhead? (Select THREE.)

Options:

A.

Create an AWS Backup plan with a backup rule for each of the retention requirements.

B.

Configure an AWS backup plan to copy backups to another Region.

C.

Create an AWS Lambda function to replicate backups to another Region and send notification if a failure occurs.

D.

Add an Amazon Simple Notification Service (Amazon SNS) topic to the backup plan to send a notification for finished jobs that have any status except BACKUP- JOB- COMPLETED.

E.

Create an Amazon Data Lifecycle Manager (Amazon DLM) snapshot lifecycle policy for each of the retention requirements.

F.

Set up RDS snapshots on each database.

Question 180

A retailer is deploying a customer service AI agent that uses multiple tools to look up orders, process refunds, and make address changes. The retailer needs a solution for its CI/CD pipeline that blocks promotion if a new release regresses on specific metrics. The specific metrics include task completion, tool selection, and final response quality. The retailer wants to test the metric evaluation against a set of golden interaction traces. After deployment, the solution must also continuously monitor for agent degradation and perform a periodic human audit of production results.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Build custom checks by using Amazon CloudWatch Logs and AWS Lambda to parse tool calls and response text. Use weekly manual reviews to decide whether the deployed AI agent meets performance standards.

B.

Use an Amazon Bedrock model evaluation job on the underlying foundation model (FM) by using prompt-response pairs. Promote the release if the model ' s helpfulness and correctness scores improve over the previous release.

C.

Configure agent trace logging. Add Amazon Bedrock AgentCore Evaluations to the pipeline for on-demand evaluation by using built-in and custom evaluators. Enable online evaluation after deployment. Periodically review a sampled subset of sessions.

D.

Use Amazon Bedrock AgentCore Evaluations in online mode after deployment by using built-in evaluators. Use post-deployment rollback if the evaluation detects regression.

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Total 683 questions
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