easyMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A data science team deploys a machine learning…
A data science team deploys a machine learning model to a SageMaker endpoint for real-time inference. They need to monitor the model for feature distribution drift over time to ensure the model's predictions remain accurate. Which AWS service should they use?
⚠ Common exam trap
Candidates often confuse SageMaker Model Monitor with SageMaker Clarify or Debugger, as candidates often misattribute drift monitoring to Clarify's bias detection or Debugger's training-time analysis, but only Model Monitor handles post-deployment feature drift.
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 service because it is specifically designed to continuously monitor machine learning models deployed to SageMaker endpoints for data quality issues, including feature distribution drift. It automatically captures inference data, computes statistics against a baseline, and triggers alerts when drift is detected, ensuring the model's predictions remain accurate over time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon CloudWatch Evidently
Why it's wrong here
CloudWatch Evidently is for A/B testing and feature flags, not drift detection.
- ✗
AWS Glue DataBrew
Why it's wrong here
Glue DataBrew is a visual data preparation tool, not for monitoring deployed models.
- ✗
SageMaker Clarify
Why it's wrong here
SageMaker Clarify detects bias and explains model predictions, not drift.
- ✓
SageMaker Model Monitor
Why this is correct
Correct. SageMaker Model Monitor monitors data and model quality, including drift detection.
- ✗
SageMaker Debugger
Why it's wrong here
SageMaker Debugger profiles training jobs and debugs model performance during training, not for deployed models.
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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.