Your question is Handling Data Drift. 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 do you handle data drift in a deployed machine learning model?
Answer with a practical monitoring and mitigation plan for a model already in production. Focus on how you would detect drift, decide whether it is feature drift, label drift, or concept drift, and what actions you would take next.