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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 279 - PL-300 discussion

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You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format:

2018-12-31 at 08:59.

You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy. What should you do?

A.

Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.

Answers
A.

Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.

B.

Change the data type of the Logged column to Date.

Answers
B.

Change the data type of the Logged column to Date.

C.

Split the Logged column by using at as the delimiter.

Answers
C.

Split the Logged column by using at as the delimiter.

D.

Apply a transformation to extract the first 11 characters of the Logged column.

Answers
D.

Apply a transformation to extract the first 11 characters of the Logged column.

Suggested answer: C

Explanation:

Simply create a custom table in Power Query, enter the date shown in the question into a column called Date, and then Split it by a delimiter. No need for spaces on either side of "at" Power BI takes care of the rest:

= Table.SplitColumn(#"Changed Type", "Date", Splitter.SplitTextByDelimiter("at", QuoteStyle.Csv),

{"Date.1", "Date.2"})

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asked 05/10/2024
MARCIA SHEILA PELAEZ GONZALEZ
38 questions
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