- A
Check AWS CloudTrail logs for API errors.
Why wrong: CloudTrail logs API calls, not performance metrics.
- B
Use Amazon SageMaker Debugger to analyze inference performance.
Why wrong: SageMaker Debugger is for training jobs, not inference endpoints.
- C
Review Amazon CloudWatch metrics for the endpoint, such as CPUUtilization and Invocations.
CloudWatch metrics can indicate resource saturation and latency.
- D
Retrain the model with more training data.
Why wrong: Retraining may not improve inference latency if capacity is the issue.
Question 325 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
After deploying a model to a SageMaker endpoint, the operations team notices high inference latency. They suspect it is due to insufficient instance capacity. Which first step should they take to diagnose the issue?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
✓
Review Amazon CloudWatch metrics for the endpoint, such as CPUUtilization and Invocations.
Option C is correct because Amazon CloudWatch metrics for a SageMaker endpoint, such as `CPUUtilization`, `MemoryUtilization`, and `Invocations`, directly indicate whether the instance is overloaded. High `CPUUtilization` combined with a high `Invocations` count and increased latency strongly suggests insufficient instance capacity. This is the standard first diagnostic step for capacity-related performance issues.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Check AWS CloudTrail logs for API errors.
Why it's wrong here
CloudTrail logs API calls, not performance metrics.
- ✗
Use Amazon SageMaker Debugger to analyze inference performance.
Why it's wrong here
SageMaker Debugger is for training jobs, not inference endpoints.
- ✓
Review Amazon CloudWatch metrics for the endpoint, such as CPUUtilization and Invocations.
Why this is correct
CloudWatch metrics can indicate resource saturation and latency.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Retrain the model with more training data.
Why it's wrong here
Retraining may not improve inference latency if capacity is the issue.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse SageMaker Debugger (for training debugging) with inference monitoring tools, or they assume CloudTrail can provide performance metrics, when in fact CloudWatch is the correct service for real-time endpoint health and capacity diagnostics.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker endpoints publish metrics to CloudWatch every 1 minute by default, including `ModelLatency` (time taken by the model to produce a response) and `OverheadLatency` (framework overhead). If `CPUUtilization` is consistently above 80% and `Invocations` are high, the instance is saturated, causing queuing delays. A real-world scenario is a burst of traffic during a flash sale; checking CloudWatch first allows the team to decide whether to enable auto-scaling or switch to a larger instance type before optimizing model code.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Review Amazon CloudWatch metrics for the endpoint, such as CPUUtilization and Invocations. — Option C is correct because Amazon CloudWatch metrics for a SageMaker endpoint, such as `CPUUtilization`, `MemoryUtilization`, and `Invocations`, directly indicate whether the instance is overloaded. High `CPUUtilization` combined with a high `Invocations` count and increased latency strongly suggests insufficient instance capacity. This is the standard first diagnostic step for capacity-related performance issues.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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