Performance Analyzer in Power BI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of the Performance Analyzer in Power BI?

Performance Analyzer helps you see how long each visual or query takes to run. It helps find slow parts so you can make your report faster.

beginner

Name the three main steps Performance Analyzer breaks down for each visual.

1. DAX Query: Time to run the data query.<br>2. Visual Display: Time to draw the visual.<br>3. Other: Time for other tasks like data formatting.

beginner

How do you start recording performance in Power BI using Performance Analyzer?

Open Performance Analyzer pane and click 'Start Recording'. Then interact with your report to capture timings.

intermediate

Why is it helpful to export Performance Analyzer results?

Exporting lets you save the timings as a JSON file. You can share it with others or analyze it later to improve report speed.

intermediate

What common actions can improve report speed after using Performance Analyzer?

Actions include optimizing DAX formulas, reducing visuals on a page, and simplifying data models.

What does Performance Analyzer NOT measure in Power BI?

A Time taken to export data to Excel

B Time taken by DAX queries to run

C Time taken by each visual to render

D Time taken for other visual tasks

Performance Analyzer measures visual rendering, DAX query time, and other tasks, but it does not measure export times.

How do you access Performance Analyzer in Power BI Desktop?

A From the View tab

B From the Home tab

C From the Modeling tab

D From the Data tab

Performance Analyzer is found under the View tab in Power BI Desktop.

Which step should you do first to analyze report performance?

A Optimize DAX formulas

B Export results

C Start recording in Performance Analyzer

D Delete visuals

You start by recording performance to see where delays happen before making changes.

What file format does Performance Analyzer export its results as?

A .csv

B .json

C .txt

D .xlsx

Performance Analyzer exports results as a JSON file.

Which of these is a common cause of slow report performance detected by Performance Analyzer?

A Using bookmarks

B Adding titles to visuals

C Using slicers

D Too many visuals on a page

Having many visuals on a page can slow down report rendering.

Explain how to use Performance Analyzer to find slow visuals in a Power BI report.

Think about the steps from opening the tool to reading the results.

Describe three ways to improve report speed after analyzing with Performance Analyzer.

Focus on common performance fixes in Power BI.