The answer is Query Performance Insight for Azure SQL Database. This service is the correct choice because it provides built-in, intelligent analysis of top queries by CPU usage, data IO, and wait statistics over time, allowing you to track query performance metrics historically and pinpoint performance bottlenecks without additional configuration. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this question tests your ability to select the right monitoring tool for Azure SQL Database, often appearing as a distractor against alternatives like Azure Monitor or SQL Server Profiler, which lack the same historical, query-level trend analysis. A common trap is choosing Azure SQL Analytics, but remember that Query Performance Insight is the native, in-portal solution for per-query historical data. Memory tip: think "QPI" for Query Performance Insight—it's the "quick performance investigator" for your Azure SQL queries.
AZ-305 Practice Question: Design identity, governance, and monitoring solutions
This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are designing a monitoring solution for Azure SQL Database. The requirement is to track query performance metrics such as CPU usage, data IO, and wait statistics over time. You need to identify performance bottlenecks and provide historical data for analysis. Which Azure service should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Query Performance Insight for Azure SQL Database
Query Performance Insight for Azure SQL Database is the correct choice because it provides built-in, intelligent analysis of top queries by CPU, data IO, and wait statistics over time, enabling you to identify performance bottlenecks and review historical data. It is specifically designed for Azure SQL Database and offers a customizable time range for trend analysis, directly meeting the requirement to track query performance metrics and analyze historical data.
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.
✗
Azure Monitor Metrics for Azure SQL Database
Why it's wrong here
Metrics are aggregated and not query-specific.
✗
Azure SQL Analytics (preview) in Azure Monitor
Why it's wrong here
This is a solution that uses Log Analytics, but Query Performance Insight is more direct.
✗
Azure SQL Database Intelligent Insights
Why it's wrong here
Intelligent Insights provides proactive diagnostics, not historical query metrics.
✓
Query Performance Insight for Azure SQL Database
Why this is correct
Query Performance Insight provides detailed query metrics and wait statistics.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure SQL Analytics (a broader monitoring solution) with Query Performance Insight (a focused query-level tool), or they assume Azure Monitor Metrics provides query-level details when it only offers aggregate resource metrics.
Detailed technical explanation
How to think about this question
Query Performance Insight works by capturing query runtime statistics from the sys.dm_exec_query_stats DMV and storing them in a circular buffer within the database, allowing you to view top queries by resource consumption over a configurable time window (up to 30 days). Under the hood, it leverages the Query Store feature, which persists query plan and execution statistics, enabling you to compare performance across different time intervals and identify regressions. In a real-world scenario, if a critical report query suddenly spikes CPU usage, Query Performance Insight can show you the exact query text, its historical CPU trends, and the associated wait types (e.g., PAGEIOLATCH_SH) to pinpoint the bottleneck.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-305 question in full detail.
Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Query Performance Insight for Azure SQL Database — Query Performance Insight for Azure SQL Database is the correct choice because it provides built-in, intelligent analysis of top queries by CPU, data IO, and wait statistics over time, enabling you to identify performance bottlenecks and review historical data. It is specifically designed for Azure SQL Database and offers a customizable time range for trend analysis, directly meeting the requirement to track query performance metrics and analyze historical data.
What should I do if I get this AZ-305 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.
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Question Discussion
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