Your team frequently creates new ML models and runs experiments.

According to the web search results, Cloud Build 1  is a service that executes your builds on Google Cloud Platform infrastructure.  Cloud Build can import source code from Cloud Source Repositories 2 , Cloud Storage, GitHub, Bitbucket, or any publicly hosted Git repository. Cloud Build allows you to create and manage build triggers, which are automated workflows that run whenever a code change is pushed to your source repository. You can use Cloud Build triggers to automatically retrain your ML models whenever there is any modification of the code. Therefore, option B is the best way to set up the CI pipeline for the given use case, as it allows you to configure a Cloud Build trigger with the event set as “Push to a branch”, which means the trigger will run whenever a new commit is pushed to a specific branch of your source repository. The other options are not relevant or optimal for this scenario.  References :

Cloud Build

Cloud Source Repositories

Google Professional Machine Learning Certification Exam 2023

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