Model registries track versions, metadata, and lineage of ML models for governance.
- True
- False
Answer: True
Model registries (MLflow, SageMaker) manage model versions, parameters, metrics, and deployment history. Enables auditability, reproducibility, and rollback. Critical for enterprise MLOps.