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Power BIbi_tool~10 mins

Performance Analyzer in Power BI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to start the Performance Analyzer in Power BI Desktop.

Power BI
Go to the View tab and click on [1] to open the Performance Analyzer pane.
Drag options to blanks, or click blank then click option'
AData view
BFilters
CBookmarks
DPerformance Analyzer
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'Data view' instead of 'Performance Analyzer'.
Selecting 'Bookmarks' which is unrelated to performance.
2fill in blank
medium

Complete the code to record the performance of visuals in Power BI.

Power BI
In the Performance Analyzer pane, click on [1] to start capturing the performance data.
Drag options to blanks, or click blank then click option'
AExport
BClear All
CStart Recording
DRefresh
Attempts:
3 left
💡 Hint
Common Mistakes
Clicking 'Clear All' which deletes previous data.
Clicking 'Export' before recording any data.
3fill in blank
hard

Fix the error in the description of Performance Analyzer's output.

Power BI
Performance Analyzer shows the [1] time for each visual, including DAX query, visual display, and [2] time.
Drag options to blanks, or click blank then click option'
Aload
Brefresh
Crender
Dexport
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'load' or 'refresh' which are not specific to visual drawing.
Using 'export' which is unrelated.
4fill in blank
hard

Fill both blanks to export the performance data as a JSON file.

Power BI
After recording, click on [1] and then select [2] to save the data.
Drag options to blanks, or click blank then click option'
AExport
BClear All
CExport as JSON
DStart Recording
Attempts:
3 left
💡 Hint
Common Mistakes
Clicking 'Clear All' which deletes data instead of exporting.
Selecting 'Start Recording' which begins new capture.
5fill in blank
hard

Fill all three blanks to analyze a slow visual's performance using Performance Analyzer.

Power BI
First, [1] recording, then [2] the slow visual, and finally [3] the results in the pane.
Drag options to blanks, or click blank then click option'
Astart
Brefresh
Creview
Dstop
Attempts:
3 left
💡 Hint
Common Mistakes
Stopping recording before refreshing the visual.
Not refreshing the visual to capture performance.

Practice

(1/5)
1. What is the main purpose of the Performance Analyzer in Power BI?
easy
A. To create new visuals automatically
B. To share reports with other users
C. To clean and transform data before loading
D. To find which visuals or queries are slow in a report

Solution

  1. Step 1: Understand Performance Analyzer's role

    Performance Analyzer tracks how long each visual or query takes to run in a report.
  2. Step 2: Identify its main use

    It helps find slow parts so you can improve report speed.
  3. Final Answer:

    To find which visuals or queries are slow in a report -> Option D
  4. Quick Check:

    Performance Analyzer = Find slow visuals [OK]
Hint: Performance Analyzer shows slow visuals to fix [OK]
Common Mistakes:
  • Thinking it creates visuals
  • Confusing it with data cleaning tools
  • Assuming it shares reports
2. Which of the following is the correct way to start recording in Performance Analyzer?
easy
A. Click 'Start Recording' button before interacting with visuals
B. Right-click on a visual and select 'Record Performance'
C. Open the Data view and click 'Record'
D. Use the DAX formula ANALYZE() in a measure

Solution

  1. Step 1: Recall Performance Analyzer usage

    You start recording by clicking the 'Start Recording' button in the Performance Analyzer pane.
  2. Step 2: Check other options

    Right-click menus or DAX formulas do not start recording; Data view is unrelated.
  3. Final Answer:

    Click 'Start Recording' button before interacting with visuals -> Option A
  4. Quick Check:

    Start Recording button = Begin analysis [OK]
Hint: Always click 'Start Recording' first in Performance Analyzer [OK]
Common Mistakes:
  • Trying to record from right-click menu
  • Looking for recording in Data view
  • Using DAX formulas to record
3. You used Performance Analyzer and saw these timings for a visual:
Query Duration: 1200 ms
Visual Display: 300 ms
What is the total time taken to render this visual?
medium
A. 1500 ms
B. 900 ms
C. 1200 ms
D. 300 ms

Solution

  1. Step 1: Understand timing components

    Total time = Query Duration + Visual Display time.
  2. Step 2: Add the times

    1200 ms + 300 ms = 1500 ms total.
  3. Final Answer:

    1500 ms -> Option A
  4. Quick Check:

    1200 + 300 = 1500 ms [OK]
Hint: Add query and display times for total visual time [OK]
Common Mistakes:
  • Using only query duration
  • Using only visual display time
  • Subtracting times instead of adding
4. You started Performance Analyzer but it shows zero time for all visuals even after interacting. What is the likely problem?
medium
A. You need to refresh the data source first
B. Your report has no visuals
C. You forgot to click 'Start Recording' before testing
D. Performance Analyzer only works in Power Query Editor

Solution

  1. Step 1: Check recording status

    If no times appear, recording was likely not started.
  2. Step 2: Evaluate other options

    Reports always have visuals; Performance Analyzer works in report view; refreshing data is unrelated.
  3. Final Answer:

    You forgot to click 'Start Recording' before testing -> Option C
  4. Quick Check:

    No recording = zero times [OK]
Hint: Always start recording before interacting with visuals [OK]
Common Mistakes:
  • Assuming no visuals means no data
  • Thinking it works in Power Query Editor
  • Believing data refresh affects Performance Analyzer
5. You notice a visual takes 5000 ms to load, mostly in 'DAX Query' time. What is the best way to improve performance using Performance Analyzer insights?
hard
A. Disable Performance Analyzer to speed up visuals
B. Optimize the DAX measure or reduce data complexity
C. Increase the report page size to load faster
D. Add more visuals to balance the load

Solution

  1. Step 1: Interpret DAX Query time meaning

    High DAX Query time means the measure or data model is slow.
  2. Step 2: Choose optimization approach

    Improving DAX formulas or simplifying data reduces query time and speeds visuals.
  3. Step 3: Evaluate other options

    Increasing page size or adding visuals won't help; disabling Performance Analyzer doesn't affect performance.
  4. Final Answer:

    Optimize the DAX measure or reduce data complexity -> Option B
  5. Quick Check:

    High DAX time = optimize DAX [OK]
Hint: Fix slow DAX queries to speed visuals [OK]
Common Mistakes:
  • Thinking more visuals improve speed
  • Disabling Performance Analyzer helps performance
  • Changing page size affects query time
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10 questions~5 mineasy hard