- A
OverheadLatency
OverheadLatency captures infrastructure overhead; an increase here explains the total latency rise when ModelLatency is unchanged.
- B
ModelLatency
Why wrong: ModelLatency is stable according to the scenario, so it is not the source of the increase.
- C
5XXError
Why wrong: 5XXError counts server errors; while it may correlate, it is not a latency metric.
- D
4XXError
Why wrong: 4XXError counts client errors; it does not directly affect latency.
Question 329 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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A team receives alerts that their SageMaker endpoint latency has increased significantly. They check CloudWatch metrics and see Invocations rising, but ModelLatency remains stable. Which metric should they investigate to find the source of the increased 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
✓
OverheadLatency
OverheadLatency measures the time taken by the SageMaker infrastructure to handle requests before and after model inference, including request routing, authentication, and response processing. Since ModelLatency is stable but total endpoint latency has increased, the extra time must be in the overhead component, making OverheadLatency the correct metric to investigate.
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.
- ✓
OverheadLatency
Why this is correct
OverheadLatency captures infrastructure overhead; an increase here explains the total latency rise when ModelLatency is unchanged.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
ModelLatency
Why it's wrong here
ModelLatency is stable according to the scenario, so it is not the source of the increase.
- ✗
5XXError
Why it's wrong here
5XXError counts server errors; while it may correlate, it is not a latency metric.
- ✗
4XXError
Why it's wrong here
4XXError counts client errors; it does not directly affect latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume increased Invocations directly cause higher ModelLatency, but the exam tests the distinction between inference time and infrastructure overhead, leading them to incorrectly select ModelLatency instead of OverheadLatency.
Trap categories for this question
Scenario analysis trap
ModelLatency is stable according to the scenario, so it is not the source of the increase.
Detailed technical explanation
How to think about this question
SageMaker endpoint latency is decomposed into ModelLatency (time spent in the container running inference) and OverheadLatency (time for request/response handling by the SageMaker proxy). Under the hood, OverheadLatency includes network I/O, request queueing, and serialization/deserialization; a sudden spike can occur due to increased invocation concurrency causing request queueing at the proxy layer, even if the model itself processes each request at the same speed.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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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: OverheadLatency — OverheadLatency measures the time taken by the SageMaker infrastructure to handle requests before and after model inference, including request routing, authentication, and response processing. Since ModelLatency is stable but total endpoint latency has increased, the extra time must be in the overhead component, making OverheadLatency the correct metric to investigate.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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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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