MLA-C01 ML Solution Monitoring, Maintenance, and Security HARD
PRODUCTION SCENARIO
An existing Model Monitor customer sees no data quality violations on a production endpoint, but business users report a rising number of incorrect predictions. Confirmed outcome labels for each prediction land in Amazon S3 about seven days after the inference.

Which Model Monitor schedule will detect the degradation?

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Answer: A model quality schedule that merges predictions with the ground truth labels

Model quality monitoring merges captured predictions with the ground truth labels in Amazon S3 and scores accuracy against a baseline, the only one of the four types that observes whether predictions were right. The seven-day delay changes when the job runs, not whether it works. Data quality watches inputs, bias drift watches subgroup disparity, and attribution drift watches feature weight.
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