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[Hardware] Updated PL-300 Demo, PL-300 Latest Dumps Book

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【Hardware】 Updated PL-300 Demo, PL-300 Latest Dumps Book

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Microsoft Power BI Data Analyst Sample Questions (Q378-Q383):NEW QUESTION # 378
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.

The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
  • A. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
  • B. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID]) DAX formula.
  • C. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD]) DAX formula.
  • D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format.
Answer: D
Explanation:
References:
https://docs.microsoft.com/en-us ... anage-relationships

NEW QUESTION # 379
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.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us ... ktop-quick-measures

NEW QUESTION # 380
You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date.
The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table.
You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent.
How should you complete the calculation? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Divide, Calculate, AllSelected.
Reference:
https://docs.microsoft.com/en-us/dax/allselected-function-dax

NEW QUESTION # 381
You have a Power Bl query named Sates that imports the columns shown in the following table.

Usees only use the dale part of the Sales.Date field. Only rows with a Status of Finished are used in analysis.
You need to reduce the load times of the query without affecting the analysis.
Which two actions achieve this goal? Each correct answer presents a complete solution.
NOTL Each correct selection is worth one pant.
  • A. Removes (Canceled Date).
  • B. Remove the rows in which sales [status] has a value of Canceled.
  • C. Remove sales [Sales_Date].
  • D. Split Sales [Sale_Date] into separate date and time columns.
  • E. Change the data type of sale [Delivery_Time] to Integer
Answer: B,D

NEW QUESTION # 382
You open powerbi.com as 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.

Answer:
Explanation:


NEW QUESTION # 383
......
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