You've created a Vertex AI ML pipeline that gcp video
ml-engineer-pro video for you've created a Vertex AI ML pipeline that involves preprocessing and training stages, and each of these stages operates within
Full Certification Question
You've created a Vertex AI ML pipeline that involves preprocessing and training stages, and each of these stages operates within distinct custom Docker images. Within your organization, GitHub and GitHub Actions are employed for continuous integration and continuous deployment (CI/CD) to perform unit and integration tests. To automate the model retraining process, you seek a workflow that can be triggered manually and automatically whenever new code is merged into the main branch. Your goal is to streamline the workflow while maintaining flexibility. How should you set up and configure the CI/CD workflow to achieve this?