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Advanced model registry governance: multi-region replication, model cards, supply-chain attestations, shadow/canary patterns, federated registration, and enterprise audit design. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Operational model registry practice: aliases and champions, promotion gates, signatures, access control, CI/CD handoffs, and comparing registered versions before production. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Foundations of ML model registries: versioning, stages, artifacts, lineage, and why teams centralize models instead of scattering files. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
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