Discuss the impact of data schema changes on deployed ML models.
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.
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Schema changes can break deployed models immediately or, worse, degrade them silently if fields shift meaning, type, cardinality, or freshness...