You are creating a quick measure as shown in the following exhibit.
You need to create a monthly rolling average measure for Sales over time-How should you configure the quick measure calculation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You are modeling data in table named SalesDetail by using Microsoft Power Bl.
You need to provide end users with access to the summary statistics about the SalesDetail data. The users require insights on the completeness of the data and the value distributions.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

You have a report page that contains the visuals shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.




Hotspot Question
You have an API that returns more than 100 columns. The following is a sample of column names.
* client_notified_timestamp
* client_notified_source
* client_notified_sourceid
* client_notified_value
* client_responded_timestamp
* client_responded_source
* client_responded_sourceid
* client_responded_value
You plan to include only a subset of the returned columns.
You need to remove any columns that have a suffix of sourceid.
How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.
You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
