Your question is Model Versioning and Retraining Loops. 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 model versioning and automated retraining loops?
Explain a practical production design covering dataset and feature versioning, reproducible training, model registry promotion, approval gates, deployment rollback, drift or performance detection, and orchestration. Show how the pipeline prevents duplicate runs, supports backfills, and preserves lineage from source data through the deployed model. Include the Microsoft technologies, metadata, monitoring signals, and failure-handling choices you would use.