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The practice of versioning datasets, models, and code for reproducibility is called ________ Management.
Answer: Artifact / Model Registry
Artifact management (MLflow, DVC) tracks datasets, model versions, hyperparameters, and code commits. Enables reproducibility, auditability, and rollback in ML workflows. Critical for enterprise MLOps.