MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company wants to deploy a machine learning model on Amazon SageMaker and needs to monitor the model's performance in production. Which TWO AWS services can be used to set up monitoring?
⚠ Common exam trap
Many candidates confuse AWS X-Ray (application tracing) or AWS Config (resource compliance) with model monitoring, but only CloudWatch and SageMaker Model Monitor directly address production ML performance and data quality monitoring.
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
✓
Amazon CloudWatch
Amazon CloudWatch is correct because it provides comprehensive monitoring for SageMaker endpoints, including metrics like latency, invocation counts, and error rates. It can also trigger alarms and dashboards for performance degradation. Amazon SageMaker Model Monitor is correct because it specifically detects data drift, feature attribution drift, and quality issues in production models by analyzing inference data against a baseline.
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
Why this is correct
CloudWatch monitors endpoint metrics like latency and invocations.
- ✗
AWS X-Ray
Why it's wrong here
X-Ray traces requests, not model performance.
- ✗
Amazon Inspector
Why it's wrong here
Inspector is for security vulnerabilities.
- ✓
Amazon SageMaker Model Monitor
Why this is correct
Model Monitor detects data drift and model quality degradation.
- ✗
AWS Config
Why it's wrong here
AWS Config tracks resource configurations, not model performance.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-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 MLS-C01 exam.