Your question is Handle Data Drift in Warehouses. 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 when deploying models in a dynamic warehouse environment at Amazon?
Describe a practical production approach for detecting feature and prediction drift, distinguishing drift from seasonal operational changes, and deciding when to retrain, roll back, or escalate a model. Address monitoring, alert thresholds, validation, deployment safety, and how you would evaluate the approach using the available warehouse data.
