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MLA-C01 Practice Question: A model deployed on SageMaker is returning…

A model deployed on SageMaker is returning inaccurate predictions for certain customer segments. The team suspects data drift. Which SageMaker feature should they use to continuously monitor input data distribution?

⚠ Common exam trap

Watch out — candidates often confuse SageMaker Clarify's bias detection capabilities with data drift monitoring, but Clarify analyzes static datasets for fairness and explainability, not continuous production data distribution shifts.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

SageMaker Model Monitor

SageMaker Model Monitor is the correct choice because it is specifically designed to continuously monitor the input data distribution of a deployed model and detect data drift over time. It automatically captures and analyzes the statistical properties of incoming inference requests against a baseline, alerting you when significant deviations occur.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • SageMaker Clarify

    Why it's wrong here

    Clarify helps detect bias and provide explanations, not data drift.

  • SageMaker Debugger

    Why it's wrong here

    Debugger monitors training, not deployed models.

  • SageMaker Model Monitor

    Why this is correct

    Model Monitor can track input data distributions and alert on drift.

  • SageMaker Feature Store

    Why it's wrong here

    Feature Store manages features, not monitoring for drift.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This MLA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLA-C01 exam.