Your question is Production ML Deployment Pipeline. 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).
You're preparing to move a machine learning model from development into a production pipeline. You want to think through the operational pieces around deployment, retraining, validation, and ongoing support before shipping it.
What are the key considerations when deploying a machine learning model in production?