easyMultiple SelectObjective-mapped
MLA-C01 Practice Question: A machine learning engineer is monitoring a…
A machine learning engineer is monitoring a production SageMaker endpoint using Amazon CloudWatch. They want to set up alarms for anomalous behavior. Which TWO CloudWatch metrics are MOST appropriate for detecting a sudden increase in request latency?
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
ModelLatency directly measures request latency, and CPUUtilization can indicate resource saturation leading to latency increases.
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
Why this is correct
Correct. This metric measures the time taken for the model to process a request.
- ✗
5XXError
Why it's wrong here
5XXError indicates server errors, not necessarily latency.
- ✗
MemoryUtilization
Why it's wrong here
Memory utilization may impact latency but is less directly correlated than CPU.
- ✗
Invocations
Why it's wrong here
Invocations count the number of requests, not latency.
- ✓
CPUUtilization
Why this is correct
Correct. High CPU utilization can cause increased latency due to resource contention.
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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.