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model registry

AI, ML & GenAI interview questions tagged model registry, across every topic.

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Concepts behind "model registry"

The curriculum that explains the ideas these questions test.

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🔁 MLOps & LifecycleSign in
Model Registry, Lineage, and PromotionA model registry is the versioned source of truth for trained models: every model carries a version, lineage (the data, code, config, and run that produced it), and a stage (staging, production, archived). It enables reproducibility, safe promotion through gates, instant rollback, and audit. Lineage is what lets you rebuild a model and debug a regression by diffing against the last good version. AI, ML, and GenAI engineer interviews probe it because shipping models without versioning and lineage turns rollback and debugging into guesswork.
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