MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which TWO SageMaker features can be used to monitor and debug training jobs? (Choose 2.)
⚠ Common exam trap
AWS often tests the distinction between monitoring training jobs (Debugger, CloudWatch) versus monitoring inference endpoints (Model Monitor) or data preparation (Ground Truth), leading candidates to confuse Model Monitor as a training debugger.
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 Debugger
SageMaker Debugger (A) is correct because it provides real-time monitoring and debugging of training jobs by capturing tensors, gradients, and other metrics during training, allowing you to detect issues like vanishing gradients or overfitting. Amazon CloudWatch Logs (D) is correct because it automatically collects and stores logs from SageMaker training jobs, including algorithm output and framework logs, which you can monitor for errors or anomalies.
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 Debugger
Why this is correct
Debugger captures real-time training metrics and tensors.
- ✗
SageMaker Model Monitor
Why it's wrong here
Model Monitor is for inference endpoints.
- ✗
SageMaker Ground Truth
Why it's wrong here
Ground Truth is for data labeling.
- ✓
Amazon CloudWatch Logs
Why this is correct
CloudWatch Logs capture training job logs.
- ✗
SageMaker Clarify
Why it's wrong here
Clarify is for bias detection and explainability.
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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.