- A
Auto-scaling is configured too aggressively.
Why wrong: Auto-scaling typically reduces latency, not increases it.
- B
The application is using regional failover, causing delays.
Why wrong: Regional failover is for disaster recovery, not intermittent spikes.
- C
The App Service plan is under-provisioned and hitting CPU limits.
High CPU usage during peak hours causes increased response times.
- D
The application is using too much memory.
Why wrong: Low memory usage does not cause high latency.
Question 717 of 997
AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
This AZ-204 practice question tests your understanding of monitor, troubleshoot, and optimize azure 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.
Your application running on Azure App Service is experiencing intermittent high latency. You have enabled Application Insights and noticed that the 'Server response time' metric spikes during peak hours. What is the most likely cause of this issue?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The App Service plan is under-provisioned and hitting CPU limits.
Option C is correct because intermittent high latency during peak hours, reflected in the 'Server response time' metric, typically indicates that the App Service plan is under-provisioned. When CPU usage hits the plan's limits, requests queue up and response times increase. Auto-scaling would mitigate this, but if the plan is under-provisioned (e.g., a B1 plan with limited cores), scaling out may not occur quickly enough or may be disabled, causing CPU saturation and latency spikes.
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.
- ✗
Auto-scaling is configured too aggressively.
Why it's wrong here
Auto-scaling typically reduces latency, not increases it.
- ✗
The application is using regional failover, causing delays.
Why it's wrong here
Regional failover is for disaster recovery, not intermittent spikes.
- ✓
The App Service plan is under-provisioned and hitting CPU limits.
Why this is correct
High CPU usage during peak hours causes increased response times.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The application is using too much memory.
Why it's wrong here
Low memory usage does not cause high latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse high memory usage with CPU saturation; memory pressure causes different symptoms (e.g., 500 errors, restarts) while CPU limits directly manifest as increased response times, making option D a distractor.
Detailed technical explanation
How to think about this question
Under the hood, Azure App Service runs on a shared or dedicated VM per plan. When CPU usage exceeds 80-90%, the ASP.NET thread pool can become exhausted, causing requests to wait for available threads. Application Insights measures 'Server response time' as the time from request receipt to first response byte; queuing delays directly inflate this metric. In a real-world scenario, a B1 plan (1 core, 1.75 GB RAM) serving a bursty API can see response times jump from 200 ms to 5+ seconds during peak load, while memory remains under 70%.
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 AZ-204 question test?
Monitor, troubleshoot, and optimize Azure solutions — This question tests Monitor, troubleshoot, and optimize Azure solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The App Service plan is under-provisioned and hitting CPU limits. — Option C is correct because intermittent high latency during peak hours, reflected in the 'Server response time' metric, typically indicates that the App Service plan is under-provisioned. When CPU usage hits the plan's limits, requests queue up and response times increase. Auto-scaling would mitigate this, but if the plan is under-provisioned (e.g., a B1 plan with limited cores), scaling out may not occur quickly enough or may be disabled, causing CPU saturation and latency spikes.
What should I do if I get this AZ-204 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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
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