AIF-C01 Question #204: Real Exam Question with Answer & Explanation

The correct answer is D: Amazon SageMaker Model Monitor. SageMaker Model Monitor continuously measures data and prediction quality in production, detects deviations from your model’s baseline (such as data drift or accuracy degradation), and alerts you so you can investigate and resolve issues promptly.

Submitted by chiamaka_o· Mar 30, 2026DOMAIN_LIST_WAS_NOT_PROVIDED

Question

A company that uses multiple ML models wants to identify changes in original model quality so that the company can resolve any issues. Which AWS service or feature meets these requirements?

Options

AAmazon SageMaker JumpStart
BAmazon SageMaker HyperPod
CAmazon SageMaker Data Wrangler
DAmazon SageMaker Model Monitor

Explanation

SageMaker Model Monitor continuously measures data and prediction quality in production, detects deviations from your model’s baseline (such as data drift or accuracy degradation), and alerts you so you can investigate and resolve issues promptly.

Topics

#SageMaker Model Monitor#ML model quality#Data drift detection

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