MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
An ML engineer needs to monitor the operational health of a SageMaker endpoint, specifically the time taken for the container to process an inference request and the overhead added by SageMaker. Which two CloudWatch metrics should they examine?
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
✓
ModelLatency and OverheadLatency
ModelLatency is the time taken by the model to respond, and OverheadLatency is the additional time added by SageMaker infrastructure. Invocations is count, not duration; Latency is total latency (ModelLatency + OverheadLatency).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ModelLatency and 4XXError
Why it's wrong here
4XXError indicates client errors; ModelLatency alone does not show overhead.
- ✗
Latency and 5XXError
Why it's wrong here
Latency is total; 5XXError indicates server errors, not breakdown.
- ✓
ModelLatency and OverheadLatency
Why this is correct
ModelLatency measures container processing time; OverheadLatency measures SageMaker overhead. Together they give a full picture.
- ✗
Invocations and Latency
Why it's wrong here
Invocations is a count metric, not duration; Latency is total time but does not separate model vs overhead.
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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.