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Microsoft Power BI Data Analyst Questions 126–130 (page: 27)

Updated On: 10-Feb-2026

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
• Due Date
• Order Date
• Delivery Date
You need to support the analysis of sales over time based on all three dates at the same time.
Solution: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables. You create active relationships between the sales table and each date table.
Does this meet the goal?

  1. Yes
  2. No

Answer(s): A



HOTSPOT (Drag and Drop is not supported)
You are creating a Power BI report that will show the number of current employees over time. The report will use Import storage mode for all tables.
The employment data will be imported from Azure SQL Database in a monthly snapshot. The data will be stored in a table named Headcount and will contain the following:
• One row per employee for each month the employee is employed
• In each row, a date key that shows the first day of the month of each snapshot
You have a related date table that contains dates for the years 2020 to 2030.
You need to create a semi-additive DAX measure that will return the count of employees for the last available date in a year, quarter, or month.
How should you complete the measure? To answer, select the appropriate options in the answer area.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



HOTSPOT (Drag and Drop is not supported)
You have a query named All Sales that imports sales data into a Power BI model.
You plan to create a star schema by separating columns into separate queries and performing further transformations. The solution must meet the following requirements:
• Use All Sales as the source for three other queries named Sales Fact, Product Dimension, and Customer Dimension.
• Minimize maintenance effort.
What should you do to create the Sales Fact query, and for which query should you clear Enable load? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



You have a Power BI model that contains the following data.
The Date table relates to the Sales table by using the Date columns.
The model contains the following DAX measure.
Total Sales = SUM(Sales[Sale])
You need to create another measure named Previous Quarter to display the sales one quarter before the selected period.
Which DAX calculation should you use?

  1. CALCULATE ( [Total Sales], DATEADD (Date[Date], -1, QUARTER ) )
  2. CALCULATE ( [Total Sales], DATESQTD (Date[Date] ) )
  3. TOTALQTD ( [Total Sales], Date[Date] )
  4. CALCULATE ( [Total Sales], PARALLELPERIOD (Date[Date], 1, QUARTER ) )

Answer(s): A



You have a Power BI data model that contains two tables named Sales and Date. The Sales table contains three measures named Order Quantity, Product Cost, and Sales Amount.
You need to create the visual shown in the following exhibit.
In which section of the Fields well should you place the measures?

  1. Columns
  2. Rows
  3. Values
  4. Drill through

Answer(s): C



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