Splitting columns in Power BI is a common data transformation technique used to separate combined values into multiple columns. This is especially useful when working with data like full names, dates, or codes stored in a single column. Power Query Editor offers multiple ways to split data, including by delimiter, by number of characters, and by digit-to-non-digit transition.
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Where is the “Split Column” option located in Power Query Editor?
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Question 3 of 15
3. Question
Which split method is used to separate data based on a specific character like a comma or space?
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Question 4 of 15
4. Question
Which split method allows you to divide a column after a fixed number of characters?
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Question 5 of 15
5. Question
Which splitting option automatically detects and separates numbers from letters?
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Question 6 of 15
6. Question
What happens if you choose “Split Column by Delimiter” and the delimiter appears multiple times?
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Question 7 of 15
7. Question
Which output option keeps both split values in the same column separated by a new line?
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Question 8 of 15
8. Question
If you split a date column stored as “DD-MM-YYYY” by delimiter “-“, what will you get?
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Question 9 of 15
9. Question
Which is a common reason for splitting columns in Power BI?
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Question 10 of 15
10. Question
What happens if you split a column into more parts than the data contains?
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Question 11 of 15
11. Question
Which is the fastest method to split a column containing “FirstName LastName”?
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Question 12 of 15
12. Question
Can you split columns in Power BI after loading data into the model?
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Question 13 of 15
13. Question
What is the advantage of “Split into Rows” over “Split into Columns”?
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Question 14 of 15
14. Question
Which split type is best for structured codes like “AB-123-CD”?
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Question 15 of 15
15. Question
What should you check after splitting columns in Power BI?
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Summary
These Splitting Columns in Power BI MCQs cover methods, use cases, and best practices for dividing combined data fields into separate columns or rows. Mastering split operations helps ensure data is clean, structured, and ready for insightful analysis.
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