easyMultiple SelectObjective-mapped
MLA-C01 Practice Question: A data scientist wants to monitor a deployed…
A data scientist wants to monitor a deployed model for performance degradation. Which TWO metrics from Amazon CloudWatch should they use to detect issues? (Select two.)
⚠ Common exam trap
Watch out — candidates often confuse CloudWatch metrics with SageMaker-specific monitoring features, assuming `ModelQuality` is a standard CloudWatch metric when it is actually a custom metric generated by SageMaker Model Monitor, not automatically available for all deployed models.
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) is correct because it measures the time taken for the model to respond to inference requests, and a sudden increase in latency can indicate performance degradation due to resource contention, model drift, or infrastructure issues. Option D (Invocation5XXErrors) is correct because a rise in 5XX HTTP errors from the SageMaker endpoint signals that the model is failing to process requests, often due to out-of-memory errors, timeouts, or internal faults, directly reflecting degraded service health.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ModelQuality
Why it's wrong here
ModelQuality is not a built-in CloudWatch metric; it requires custom metrics from Model Monitor.
- ✓
ModelLatency
Why this is correct
Increased model latency can indicate performance degradation due to inefficient code or resource pressure.
- ✗
CpuUtilization
Why it's wrong here
CPU utilization reflects instance health, not directly model performance degradation.
- ✓
Invocation5XXErrors
Why this is correct
An increase in 5XX errors can indicate model failures or overload, signaling degradation.
- ✗
InvocationCount
Why it's wrong here
Invocation count shows traffic volume, not model quality or health.
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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.