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A company is building a web application on AWS.

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A company is building a web application on AWS. The application uses AWS CodeConnections to access a Git repository. The company sets up a pipeline in AWS CodePipeline that automatically builds and deploys the application to a staging environment when the company pushes code to the main branch. Bugs and integration issues sometimes occur in the main branch because there is no automated testing integrated into the pipeline.

The company wants to automatically run tests when code merges occur in the Git repository and to prevent deployments from reaching the staging environment if any test fails. Tests can run up to 20 minutes. Which solution will meet these requirements?

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.

B.

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.

C.

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.

D.

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.

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