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Optimization Of Power BI Report

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10 questions
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  • Q1
    Why is it generally more efficient to use measures instead of calculated columns in Power BI for large datasets?
    Calculated columns require fewer DAX functions
    Calculated columns consume less memory
    Measures are computed at query time only
    Measures allow for more visual flexibility
    40s
  • Q2
    In a Power BI report with data from multiple tables, what is a recommended way to improve performance?
    Import only necessary tables
    Import all tables and filter at the visualization
    Use relationships to auto-populate unnecessary tables
    Create calculated tables for all data transformations
    40s
  • Q3
    Which of the following can impact Power BI report performance when using custom visuals?
    Custom visuals only affect loading times
    Custom visuals increase memory usage
    Custom visuals have no impact on query time
    Custom visuals do not affect performance
    40s
  • Q4
    How does avoiding excessive calculated columns benefit Power BI model optimization?
    Reduces model size and speeds up query performance
    Enhances data transformation speed
    Increases accuracy of data summaries
    Makes data easier to visualize
    40s
  • Q5
    What’s a primary reason to avoid loading unnecessary columns in Power BI data models?
    Allows for faster visual formatting
    Reduces memory usage and speeds up data refreshes
    Increases accuracy in aggregation
    Helps create more complex relationships
    40s
  • Q6
    If a Power BI model uses DirectQuery for real-time data, how can you improve its performance?
    Use more complex DAX formulas
    Increase the number of calculated columns
    Limit visuals and data transformations
    Avoid using measures entirely
    40s
  • Q7
    When using multiple fact tables in a report, what can reduce processing time in Power BI?
    Avoiding the use of DAX expressions
    Creating calculated tables for all relationships
    Adding all tables without filtering
    Filtering only relevant rows
    40s
  • Q8
    Why should users avoid importing all data tables by default into a Power BI report?
    Reduces unnecessary data load and improves speed
    Prevents data model errors
    Allows for more relationships to be defined
    Simplifies the overall data structure
    40s
  • Q9
    What’s a potential drawback of overusing custom visuals in a Power BI report?
    More user customization options
    Increased report load time
    Improved aesthetic quality
    Enhanced data interactivity
    40s
  • Q10
    Which technique optimizes Power BI performance by reducing the complexity of DAX calculations?
    Adding more columns to the dataset
    Importing larger datasets
    Using simpler measures instead of complex columns
    Applying complex transformations within visuals
    40s

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