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?

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, 2026AI Governance and Operations

Question

Options

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

How the community answered

(32 responses)

A
3% (1)
B
3% (1)
C
13% (4)
D
81% (26)

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#model drift#model quality#MLOps

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