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Databricks Certified Machine Learning Professional · Databricks
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- Correct answer : A — Whether the label's definition or collection process changed, since stable inputs point to the label side. A . With input features stable but real accuracy down, a change in how the label is defined, recorded, or delayed is a plausible cause worth checking first, since it need not show up as input drift. B . A stable drift table does not mean the threshold is miscalibrated; loosening it until drift appears would manufacture a false signal rather than diagnose the real cause. C . There is no rule forcing a switch to snapshot profiling when metrics disagree; inference profiling is exactly the type built to support labeled-cohort performance metrics. D . Deleting the baseline is not a documented response to this mismatch and would remove the drift reference point without addressing the accuracy drop's cause.