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MLA-C01 Practice Question: An ML engineer is setting up monitoring for a…
An ML engineer is setting up monitoring for a SageMaker endpoint. Which THREE metrics should be monitored to detect performance issues? (Select THREE.)
⚠ Common exam trap
A common mix-up: candidates confuse throughput metrics (like invocations per second) with performance health indicators, but the question specifically asks for metrics that detect performance issues, not just operational statistics.
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
✓
Model latency
Model latency is a critical metric for detecting performance issues in a SageMaker endpoint because it directly measures the time taken to process inference requests. High latency can indicate resource bottlenecks, model inefficiency, or scaling problems, and it is essential for meeting service-level agreements (SLAs). Monitoring latency helps identify when the endpoint is underprovisioned or when the model itself has degraded in performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Model latency
Why this is correct
High latency indicates performance degradation.
- ✗
Invocations per second
Why it's wrong here
This is a throughput metric, not a performance health indicator.
- ✓
CPUUtilization
Why this is correct
High CPU may indicate insufficient capacity.
- ✓
MemoryUtilization
Why this is correct
High memory can cause swapping and latency issues.
- ✗
DiskWriteBytes
Why it's wrong here
Disk I/O is not typically a bottleneck for SageMaker inference.
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JA
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.