AWS Certified DevOps Engineer – Professional (DOP-C02) — Question 141

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?

Answer options

• A. Create an AWS CodePipeline 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 CodePipeline configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval.
• C. Create an AWS CodePipeline 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.LambdaLinear10PercentEvery3Minutes 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.

Correct answer: C

Explanation

Option C is correct as it utilizes AWS CodePipeline to automate the build and deployment process, while also allowing for a gradual traffic shift using the CodeDeployDefault.LambdaLinear10PercentEvery3Minutes option, which maximizes developer velocity. Options A and B, while valid, do not provide the same level of integration and automation for the incremental traffic shift. Option D is less efficient due to reliance on manual CLI commands and S3 triggers, lacking the streamlined process of the other options.