Instruction: Discuss strategies for ensuring and monitoring data quality in real-time ML model predictions.
Context: This question tests the candidate's approach to maintaining high data quality in real-time prediction scenarios, crucial for the accuracy and reliability of ML models.
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The way I'd approach it in an interview is this: For real-time prediction, I would validate inputs as close to ingestion as possible and separate hard failures from soft degradations. Some quality issues should block prediction; others should trigger...