Your question is CI/CD for Machine Learning Lifecycle. 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 incorporate CI/CD best practices into your machine learning lifecycle?
Describe a practical pipeline covering source control, data and model validation, automated testing, reproducible training, artifact management, deployment promotion, rollback, and post-deployment monitoring. Explain how you would separate development, staging, and production environments, manage infrastructure and configuration, handle model or schema changes, and prevent an unvalidated model from reaching production.