- A
Logs in Application Insights or the associated Log Analytics workspace
Application Insights stores telemetry that can be queried with KQL in Logs.
- B
Microsoft Entra audit logs
Why wrong: Entra audit logs track identity events, not application performance telemetry.
- C
Azure Key Vault diagnostic settings
Why wrong: Key Vault logs do not contain application request latency.
- D
Azure Resource Graph only
Why wrong: Resource Graph queries Azure resource metadata, not application request telemetry.
Quick Answer
The correct place to run a Kusto query for 95th percentile latency by operation in Application Insights is directly in the Logs workspace of Application Insights or its associated Log Analytics workspace. This is because Application Insights stores all request telemetry in the `requests` table, and Kusto Query Language (KQL) provides the built-in `percentiles()` function to calculate percentile aggregations like the 95th percentile without needing any custom operational scripts. On the Microsoft Azure Developer Associate AZ-204 exam, this scenario tests your understanding of how to use native monitoring tools to analyze application performance, often appearing as a question about where to query telemetry data efficiently. A common trap is thinking you need to export data to an external tool or write custom code, but the correct approach leverages the integrated Logs interface. Memory tip: think "percentiles in the requests table" — the built-in KQL function does the heavy lifting, so you never need to script it yourself.
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. 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 developer needs to run a Kusto query against application request data to identify 95th percentile latency by operation. Where should the query be run? The design must avoid adding custom operational scripts.
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
Logs in Application Insights or the associated Log Analytics workspace
Application Insights and its associated Log Analytics workspace store application request data and support Kusto Query Language (KQL) queries. Running a Kusto query against the `requests` table in the Logs workspace allows you to calculate percentile latency (e.g., using the `percentiles()` function) without custom operational scripts, as this is a built-in capability.
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.
- ✓
Logs in Application Insights or the associated Log Analytics workspace
Why this is correct
Application Insights stores telemetry that can be queried with KQL in Logs.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Microsoft Entra audit logs
Why it's wrong here
Entra audit logs track identity events, not application performance telemetry.
- ✗
Azure Key Vault diagnostic settings
Why it's wrong here
Key Vault logs do not contain application request latency.
- ✗
Azure Resource Graph only
Why it's wrong here
Resource Graph queries Azure resource metadata, not application request telemetry.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure Resource Graph (which queries resource metadata) with Log Analytics (which queries telemetry data), leading them to choose Option D despite its inability to handle application performance queries.
Detailed technical explanation
How to think about this question
The `percentiles()` function in KQL uses the T-Digest algorithm to approximate percentile values efficiently, even on large datasets. In Application Insights, the `requests` table includes columns like `duration` (in milliseconds) and `operation_Name`, enabling precise latency analysis per operation. This approach avoids the need for custom scripts by leveraging the built-in analytics platform.
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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Monitor, troubleshoot, and optimize Azure solutions — study guide chapter
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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: Logs in Application Insights or the associated Log Analytics workspace — Application Insights and its associated Log Analytics workspace store application request data and support Kusto Query Language (KQL) queries. Running a Kusto query against the `requests` table in the Logs workspace allows you to calculate percentile latency (e.g., using the `percentiles()` function) without custom operational scripts, as this is a built-in capability.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
2 more ways this is tested on AZ-204
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A developer needs to run a Kusto query against application request data to identify 95th percentile latency by operation. Where should the query be run? The architecture review board prefers a managed AWS-native control.
medium- ✓ A.Logs in Application Insights or the associated Log Analytics workspace
- B.Microsoft Entra audit logs
- C.Azure Key Vault diagnostic settings
- D.Azure Resource Graph only
Why A: Application Insights stores telemetry data, including request latency, in a Log Analytics workspace. Kusto queries against this data can compute percentiles (e.g., 95th) using the `percentile()` function. This is the correct location because the architecture review board prefers a managed AWS-native control, and Log Analytics is the native Azure monitoring service for running such queries.
Variation 2. A developer needs to run a Kusto query against application request data to identify 95th percentile latency by operation. Where should the query be run?
medium- ✓ A.Logs in Application Insights or the associated Log Analytics workspace
- B.Microsoft Entra audit logs
- C.Azure Key Vault diagnostic settings
- D.Azure Resource Graph only
Why A: Application Insights stores application request data, including latency metrics, and supports Kusto queries via its Logs blade. The associated Log Analytics workspace also provides the same query capabilities, making it the correct location to run a Kusto query for 95th percentile latency by operation.
Last reviewed: Jun 11, 2026
This AZ-204 practice question is part of Courseiva's free Microsoft 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 AZ-204 exam.
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