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Question 17 of 39
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- Data leakage occurs when information that would not be available at prediction time leaks into training — for example, a feature derived from the target, or test-set statistics being used in feature engineering on the training set. It causes inflated training/validation metrics that collapse in production. The other options describe security breaches or infrastructure issues, not the ML concept.