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Amazon Web Services DOP-C02 - AWS Certified DevOps Engineer - Professional

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Total 392 questions

A company runs a microservices application on Amazon Elastic Kubernetes Service (Amazon EKS). Users recently reported significant delays while accessing an account summary feature, particularly during peak business hours.

A DevOps engineer used Amazon CloudWatch metrics and logs to troubleshoot the issue. The logs indicated normal CPU and memory utilization on the EKS nodes. The DevOps engineer was not able to identify where the delays occurred within the microservices architecture.

The DevOps engineer needs to increase the observability of the application to pinpoint where the delays are occurring.

Which solution will meet these requirements?

A.

Deploy the AWS X-Ray daemon as a DaemonSet in the EKS cluster. Use the X-Ray SDK to instrument the application code. Redeploy the application.

B.

Enable CloudWatch Container Insights for the EKS cluster. Use the Container Insights data to diagnose the delays.

C.

Create alarms based on the existing CloudWatch metrics. Set up an Amazon Simple Notification Service (Amazon SNS) topic to send email alerts.

D.

Increase the timeout settings in the application code for network operations to allow more time for operations to finish.

Which combination of steps will meet these requirements? (Select THREE.)

A.

Create a global table replica of the DynamoDB table in a second Region.

B.

Create a global secondary index for the DynamoDB table.

C.

Create copies of the REST API and the Lambda functions in a second Region.

D.

Create health checks in Amazon Route 53. Create DNS records that include a failover routing policy.

E.

Create health checks in Amazon Route 53. Create DNS records that include a latency routing policy.

F.

Create DNS records in Amazon Route 53 that include a multivalue answer routing policy.

A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.

What solution meets all the requirements, ensuring the MOST developer velocity?

A.

Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

B.

Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval

C.

Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.

D.

Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage