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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; You create measures that use the uSEREIATIOHSHIP DAX function to filter sales on the inactive relationships between the sales table and the date table. Does this meet the goal?

Question 204 - PL-300 discussion

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You have a Power Bl report for the marketing department. The report reports on web traffic to a blog and contains data from the following tables.

There is a one-to-many relationship from Posts to Traffic that uses the URL and URL Visited columns.

The report contains the visuals shown in the following table.

The dataset takes a long time to refresh.

You need to modify Posts and Traffic queries to reduce toad times.

Which two actions will reduce the toad times? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Remove the rows m Traffic in which Traffic [Referring URL] does not start with "/"

Answers
A.

Remove the rows m Traffic in which Traffic [Referring URL] does not start with "/"

B.

Remove the rows in Posts m which Post [Publish Date] is in the last seven days.

Answers
B.

Remove the rows in Posts m which Post [Publish Date] is in the last seven days.

C.

Remove Traffic [IP Address], Traffic (Browser Agent], and Traffic [Referring URL).

Answers
C.

Remove Traffic [IP Address], Traffic (Browser Agent], and Traffic [Referring URL).

D.

Remove Posts [Full Text] and Posts [Summary].

Answers
D.

Remove Posts [Full Text] and Posts [Summary].

E.

Remove the rows in Traffic in which Traffic [URL visited] does not contain "blog''

Answers
E.

Remove the rows in Traffic in which Traffic [URL visited] does not contain "blog''

Suggested answer: D, E
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asked 05/10/2024
Robert L Swafford
38 questions
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