Instruction: Explain how data schema changes can affect ML models in production and strategies to manage such changes.
Context: This question checks the candidate's ability to anticipate and handle data schema changes, a common issue in dynamic data environments, to maintain model performance.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd explain it in an interview is this: Schema changes can break deployed models immediately or, worse, degrade them silently if fields shift meaning, type, cardinality, or freshness. A model may still serve predictions while using malformed...