DP-700 Implement and Manage an Analytics Solution Practice Question
You need to monitor the performance of your Fabric SQL Warehouse. Which tool or feature should you use to identify long-running queries?
⚠ Common exam trap
Candidates frequently choose generic Azure monitor logs or Power BI capacity metrics apps instead of the dedicated native Fabric feature built for warehouse queries.
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
✓
Fabric Query Insights
Monitoring performance is essential for optimizing query execution and managing resources effectively. In Fabric, the 'Query Insights' feature provides detailed telemetry on query duration, user activity, and resource usage. By identifying long-running queries, data engineers can pinpoint inefficient SQL code or missing indexes, which is vital for maintaining the overall stability and responsiveness of the analytical platform for end-users.
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
Why it's wrong here
While Azure Monitor provides platform-level metrics, it lacks the granular detail required for analyzing individual SQL query performance within a Fabric Warehouse. To debug specific query performance, you need the specialized execution plans and duration telemetry provided by the built-in query insight tools within the Warehouse UI.
- ✓
Fabric Query Insights
Why this is correct
Query Insights is a dedicated feature in Fabric that allows users to view historical query performance data, including execution time, resource consumption, and specific SQL statements. It provides actionable information that enables engineers to troubleshoot bottlenecks and optimize queries for better performance across the entire warehouse environment.
- ✗
Data Factory Pipeline Monitor
Why it's wrong here
The pipeline monitor is designed for tracking the status of data integration activities, such as copy operations or notebook executions. It does not provide the SQL-level performance insights or query execution plan analysis necessary to troubleshoot long-running SQL queries inside the Warehouse artifact itself.
- ✗
Power BI Performance Analyzer
Why it's wrong here
Performance Analyzer is intended for visualizing rendering times within a Power BI report. While it helps identify slow visuals, it does not analyze the underlying SQL warehouse query performance. It cannot provide the execution context required to optimize the warehouse engine or tune the actual database-level queries.
About these practice questions
This DP-700 question is part of Courseiva's 152-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-700 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 DP-700 exam.