Google Cloud Professional Machine Learning Engineer — Question 216

Your team frequently creates new ML models and runs experiments. Your team pushes code to a single repository hosted on Cloud Source Repositories. You want to create a continuous integration pipeline that automatically retrains the models whenever there is any modification of the code. What should be your first step to set up the CI pipeline?

Answer options

• A. Configure a Cloud Build trigger with the event set as "Pull Request"
• B. Configure a Cloud Build trigger with the event set as "Push to a branch"
• C. Configure a Cloud Function that builds the repository each time there is a code change
• D. Configure a Cloud Function that builds the repository each time a new branch is created

Correct answer: B

Explanation

The correct answer is B because configuring a Cloud Build trigger with the event set as 'Push to a branch' allows the CI pipeline to automatically react to any changes made in the codebase. Option A is incorrect because 'Pull Request' events do not cover all modifications directly to the branch. Options C and D are not suitable as Cloud Functions do not directly establish a CI pipeline for regular code changes.