Your question is Production Deployment Considerations. 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).
What are the key considerations when deploying a model to a production environment?
Answer in the context of a real ML system: focus on validation, monitoring, rollback, and data drift. Keep the response practical and concise, and explain how you would reduce deployment risk before and after release.