- A
Check CPU and GPU utilisation metrics on the endpoint.
High utilisation can indicate resource bottleneck.
- B
Review the request/response logs in BigQuery to identify if large payloads correlate with high latency.
Logs can show payload size and latency per request.
- C
Disable Vertex AI Model Monitoring to reduce overhead.
Why wrong: Monitoring overhead is minimal and not the cause of high latency.
- D
Check the p99 latency metric in Cloud Monitoring.
Essential to confirm the latency issue.
- E
Increase the number of replicas to resolve the issue immediately.
Why wrong: Scaling without diagnosis may not address root cause; should diagnose first.
Question 631 of 1,000
PMLE Monitoring ML Solutions Practice Question
This PMLE practice question tests your understanding of monitoring ml solutions. 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.
An ML engineer is troubleshooting why a Vertex AI Endpoint is returning high prediction latency. They have enabled request/response logging and see that some requests take >1 second while most are fast. Which THREE actions should they take to diagnose the issue?
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
✓
Check CPU and GPU utilisation metrics on the endpoint.
Check Cloud Monitoring metrics for p99 latency trends, CPU/GPU utilisation to identify bottlenecks, and review request/response logs for patterns (e.g., large payloads causing slow inference).
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 CPU and GPU utilisation metrics on the endpoint.
Why this is correct
High utilisation can indicate resource bottleneck.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Review the request/response logs in BigQuery to identify if large payloads correlate with high latency.
Why this is correct
Logs can show payload size and latency per request.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Disable Vertex AI Model Monitoring to reduce overhead.
Why it's wrong here
Monitoring overhead is minimal and not the cause of high latency.
- ✓
Check the p99 latency metric in Cloud Monitoring.
Why this is correct
Essential to confirm the latency issue.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the number of replicas to resolve the issue immediately.
Why it's wrong here
Scaling without diagnosis may not address root cause; should diagnose first.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this PMLE question test?
Monitoring ML Solutions — This question tests Monitoring ML Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Check CPU and GPU utilisation metrics on the endpoint. — Check Cloud Monitoring metrics for p99 latency trends, CPU/GPU utilisation to identify bottlenecks, and review request/response logs for patterns (e.g., large payloads causing slow inference).
What should I do if I get this PMLE question wrong?
Identify which PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 PMLE practice question is part of Courseiva's free Google Cloud 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 PMLE exam.
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