Your question is Real-Time Model Drift Mitigation. 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 design a machine learning model deployment pipeline that ensures model drift is detected and mitigated in real-time?