Model versioning
Tracking which exact model artifact, training data snapshot, and code version produced a given deployed model, so a regression can be traced to a specific change and reverted. Without it, "which model is actually running" becomes a question nobody can answer under pressure.
Why exams ask this
Tested as a rollback scenario: a new model version degrades a key metric in production and the exam wants the fastest safe response, which is reverting to the previous tracked version, not retraining from scratch under pressure.
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