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Monitor and Optimize an Analytics SolutionhardMultiple SelectObjective-mapped

DP-700 Monitor and Optimize an Analytics Solution Practice Question

You are managing a Microsoft Fabric capacity. You need to identify which users are consuming the most compute resources and determine if any throttled requests are occurring. Which TWO tools should you use?

⚠ Common exam trap

Candidates often select only the Capacity Metrics app and ignore Log Analytics. They fail to realize that the Metrics app is for high-level health, while logs are required for deep-dive diagnostics.

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 Capacity Metrics app

Monitoring capacity health requires a combination of real-time metrics and long-term diagnostic logs. The Fabric Capacity Metrics app provides granular visual insights into capacity utilization and throttling, while the Log Analytics workspace offers detailed diagnostic logs for query-level analysis. Using both tools allows engineers to correlate high-level capacity health with specific user-driven workloads that may trigger system-wide throttling or degradation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Fabric Capacity Metrics app

    Why this is correct

    The Capacity Metrics app is the primary tool for monitoring Fabric capacity health. It provides detailed visuals showing compute utilization, identify peak load times, and specifically highlights throttling events, making it the essential starting point for capacity administrators to diagnose performance issues.

  • Azure Monitor Log Analytics

    Why this is correct

    Log Analytics provides deep, queryable diagnostic logs for Fabric items. By analyzing the PowerBI/Fabric activity logs, engineers can isolate specific operations and users responsible for high consumption, enabling precise tuning of resource-intensive data pipelines or complex DAX queries causing capacity pressure.

  • Microsoft Purview

    Why it's wrong here

    Microsoft Purview is primarily used for data governance, cataloging, and security auditing across data estates. While it tracks lineage and sensitivity labels, it does not provide the performance metrics or compute utilization data necessary to monitor capacity health and throttling events.

  • Service Health Dashboard

    Why it's wrong here

    The Service Health Dashboard is designed to show global status information regarding Microsoft service outages and planned maintenance. It does not provide insights into your specific tenant's resource consumption, user-level workload activity, or the granular throttling metrics required for performance optimization.

  • Power BI Desktop Performance Analyzer

    Why it's wrong here

    The Performance Analyzer in Power BI Desktop is local to the report developer and identifies performance bottlenecks within a specific PBIX file. It cannot provide capacity-wide metrics or monitor compute throttling occurring on the Fabric backend during scheduled cloud refreshes or pipelines.

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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.