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Calculated Fields with Dax - 1

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20 questions
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  • Q1
    When should you use a calculated column in Power BI?
    When you want to create dynamic visuals
    When you want to filter data based on row-specific calculations
    When you need to perform aggregations
    When you want to merge tables
    60s
  • Q2
    How does a calculated column understand row context?
    By using measures to calculate values
    By evaluating data within each row of the table
    By applying filters from other tables
    By summing up values from different rows
    60s
  • Q3
    What is the main difference between calculated columns and measures in Power BI?
    Calculated columns are used for filtering, measures for aggregation
    Calculated columns are used for aggregation, measures for filtering
    Both are used for filtering
    Both are used for aggregation
    60s
  • Q4
    How can you create a calculated column in Power BI?
    By merging tables in the query editor
    By using the DAX formula bar to define new column values
    By using implicit measures in the report view
    By creating a new table in the data view
    60s
  • Q5
    What type of context do measures evaluate in Power BI?
    Table context
    Column context
    Row context
    Filter context
    60s
  • Q6
    When should you use measures instead of calculated columns in Power BI?
    When you need to filter data based on individual rows
    When you need to join tables
    When you need to aggregate data across multiple rows
    When you want to create static values
    60s
  • Q7
    How do you create an explicit measure in Power BI?
    By entering DAX functions to define calculations
    By dragging columns into the values field
    By merging tables in the query editor
    By creating calculated columns
    60s
  • Q8
    What is an implicit measure in Power BI?
    An auto-aggregation applied when you drag a numerical field into a visual
    A measure that creates static values in a table
    A measure used for filtering data
    A manually created measure using DAX functions
    60s
  • Q9
    What is the purpose of creating a dedicated measure table in Power BI?
    To perform complex table joins
    To increase data redundancy
    To stay organized and find measures quickly
    To merge unrelated tables
    60s
  • Q10
    How do you create a dedicated measure table using DAX in Power BI?
    By using table constructors with curly brackets
    By using the enter data option in the home tab
    By creating new columns in the data view
    By merging tables in the query editor
    60s
  • Q11
    What is the significance of filter context in DAX measures?
    It only affects calculated columns
    It determines how measures recalculate based on filters and fields
    It only affects data transformations in the query editor
    It determines the row-specific calculations
    60s
  • Q12
    Why is it important to understand filter context when working with DAX measures?
    To ensure accurate measure calculations based on current filters
    To merge tables effectively
    To create static values in tables
    To simplify data modeling
    60s
  • Q13
    How does a measure calculate values in a Power BI visual?
    By merging related tables
    By summing all values in a column
    By evaluating filter context applied to the visual
    By referencing A1-style grid cells
    60s
  • Q14
    What happens when you apply a filter to a specific cell in a Power BI visual?
    The filter context is applied to calculate the measure for that cell
    The entire table is recalculated
    The filter is applied to all tables in the model
    The filter is ignored, and default values are used
    60s
  • Q15
    How do grand totals in Power BI visuals differ from individual cell calculations?
    Grand totals are based on row context
    Grand totals are calculated based on their own unique filter context
    Grand totals are the sum of all cell values
    Grand totals ignore filter context
    60s

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