A Company Using AWS CodeCommit for Source Control Wants to Automate

Multiple Choice

A company using AWS CodeCommit for source control wants to automate its continuous integration and continuous deployment pipeline on AWS in its development environment. The company has three requirements: There must be a legal and a security review of any code change to make sure sensitive information is not leaked through the source code. Every change must go through unit testing. Every change must go through a suite of functional testing to ensure functionality. In addition, the company has the following requirements for automation: Code changes should automatically trigger the CI/CD pipeline. Any failure in the pipeline should notify [e-mail]. There must be an approval to stage the assets to Amazon S3 after tests have been performed. What should a DevOps Engineer do to meet all of these requirements while following CI/CD best practices?

A) Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch metrics to detect changes in pipeline stages and Amazon SES for emailing [e-mail].
B) Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use AWS CloudTrail logs to detect changes in pipeline stages and Amazon SNS for emailing [e-mail].
C) Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SNS for emailing [e-mail].
D) Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SES for emailing [e-mail].