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?

QuestionsCategory: PL-300You 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?
Admin Staff asked 4 months ago
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 the Parse function from the Data transformations options to the Logged column.

B. Change the data type of the Logged column to Date.

C. Split the Logged column by using at as the delimiter.

D. Create a column by example that starts with 2018-12-31.








 

Suggested Answer: C



This question is in PL-300 Microsoft Power BI Data Analyst Exam
For getting Microsoft Certified: Power BI Data Analyst Associate Certificate







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