Your question is CI/CD for ML Workflows. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you build a CI/CD pipeline for machine learning workflows? Describe how source changes move through validation, testing, packaging, deployment, and promotion across environments. Address data and model versioning, reproducibility, approval gates, rollback, orchestration, secrets, and monitoring for both training pipelines and inference services.