Question

A company is developing a web application on AWS. The application uses AWS CodeConnections to access a Git repository. The company configures an AWS CodePipeline pipeline that automatically builds and deploys the application to a staging environment whenever code is pushed to the main branch. Bugs and integration issues occasionally occur in the main branch because no automated testing is integrated into the pipeline. The company wants tests to run automatically when code merges occur in the Git repository and wants to stop deployments from reaching the staging environment if any test fails. Tests can run for up to 20 minutes. Which solution meets these requirements?

Accepted Answer

A. Add an AWS CodeBuild action to the pipeline. Add a buildspec.yml file to the Git repository to define commands to run tests. Configure the pipeline to stop the deployment if a test fails.

Answer

Configure Git webhooks to initiate an AWS Lambda function during each code merge. Configure the Lambda function to run tests programmatically and to stop the pipeline if a test fails.

Answer

Configure AWS Batch to use Docker images of test environments. Integrate AWS Batch into the pipeline. Add an AWS Lambda function to the pipeline that submits the batch jobs and reverts the code merge if a test fails.

Answer

Configure the Git repository to push code to an Amazon S3 bucket during each code merge. Use S3 Event Notifications to initiate tests and to revert the code merge if a test fails.