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You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns
named TotalCost, DueDate, ShipDate, and OrderDate. Date contains one column named Date.
The tables have the following relationships:
Sales[DueDate] and Date[Date]Sales[ShipDate] and Date[Date]
Sales[OrderDate] and Date[Date]
The active relationship is on Sales[DueDate].
You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You
must meet the goal without duplicating data or loading additional data.
Solution: You create measures that use the CALCULATE, COUNT, and USERELATIONSHIP DAX
functions.
Does this meet the goal?
semantic model in DirectQuery mode. You connect to the model and discover that it contains undefined
values and errors. You need to resolve the issue.
Solution: You add an index key and normalize casing in the data source.
Does this meet the goal?
You have a Power Bl model that contains two tables named Population and Date.
The Population table contains two columns named Population Amount and Date Key.
DateKey contains date values that represent the first day of a year and are used to create a many-to
The Power Bl model contains two measures that have the following definitions.
Total Population = Sum ('Population'[Population Amount])
2023 Population = CALCULATE ([Total Population]"Date'[Year] = 2023)
You create a table visual that displays Date[Year] and [2023 Population].
What will the table visual show?
You have a report in Power Bl named report1 that is based on a shared dataset.
You need to minimize the risk of data exfiltration for report1. The solution must prevent other reports from
being affected.
What should you do?
You have a Power Bl report. You have the following tables.

You have the following DAX measure.

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