MLS-C01 Modeling Practice Question
A data scientist is training a model and wants to monitor training progress. Which AWS service can be used to track metrics like loss and accuracy in real time?
⚠ Common exam trap
Candidates often confuse Amazon SageMaker Automatic Model Tuning (which orchestrates hyperparameter searches) with a monitoring service, but it does not provide real-time metric tracking itself—only CloudWatch does.
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 the correct service because it provides real-time monitoring of metrics such as loss and accuracy during model training. When using SageMaker, training jobs automatically emit metrics to CloudWatch via the CloudWatch agent, allowing you to view logs and set alarms on metric thresholds in near real-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 SageMaker Ground Truth
Why it's wrong here
Ground Truth is for labeling.
- ✗
Amazon SageMaker Automatic Model Tuning
Why it's wrong here
Tuning is for hyperparameter optimization.
- ✗
AWS Glue
Why it's wrong here
Glue is for ETL.
- ✓
Amazon CloudWatch
Why this is correct
CloudWatch can monitor custom metrics.
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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.