Your question is Model Versioning and Retraining at Scale. 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).
Explain how you would manage model versioning and retraining at scale.
Focus on how you would structure model artifacts, retraining triggers, rollout and rollback, and how you would prevent training-serving skew. Assume the system must support frequent updates, reproducible experiments, and safe production deployment.