Question

A company is building a web application and uses AWS CodeBuild for its CI/CD pipeline. The company must produce multiple artifacts from one build process and must be able to identify which build generated each artifact. The artifacts must be stored in an Amazon S3 bucket for subsequent processing and deployment. Builds run frequently and use a large Git repository. The company needs to optimize build times. Which solution meets these requirements with the **MOST** operational efficiency?

Accepted Answer

A. Configure the buildspec.yml file to specify multiple artifacts with different file sets. Enable local caching for the build process by using source cache mode. Use environment variables to dynamically name artifacts based on the build ID.

Answer

Configure the buildspec.yml file to output all files as a single artifact. Enable local caching for the build process by using custom cache mode. Create an AWS Lambda function that is invoked by CodeBuild completion. Program the Lambda function to split the artifact into multiple files and to upload the files to the S3 bucket with dynamic names based on build ID.

Answer

Create separate CodeBuild projects for each artifact type. Enable local caching for the build process by using Docker layer cache mode. Configure each project to output a single artifact to the S3 bucket with a dynamic name based on build ID. Use AWS Step Functions to orchestrate the projects in parallel.

Answer

Set up CodeBuild to generate a single ZIP artifact that contains all files. Enable S3 caching for the build process. Use AWS CodePipeline with a custom action to extract the files and reorganize the files into multiple artifacts in the S3 bucket. Configure the custom action to dynamically name the files based on the time of the build.