Pivoting and unpivoting columns in Power BI are essential data transformation techniques that restructure tables for better analysis. Pivoting converts unique column values into new columns, while unpivoting does the opposite — turning columns into rows. Both operations are performed in Power Query Editor and are crucial for creating tidy, analysis-ready datasets.
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Where are pivot and unpivot operations performed in Power BI?
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Question 2 of 15
2. Question
What does pivoting do in Power BI?
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Question 3 of 15
3. Question
What does unpivoting do in Power BI?
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Question 4 of 15
4. Question
Which tab contains the Pivot and Unpivot options in Power Query?
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Question 5 of 15
5. Question
In a sales dataset, pivoting the “Month” column will result in:
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Question 6 of 15
6. Question
Unpivoting is especially useful when:
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Question 7 of 15
7. Question
Which option keeps certain columns fixed while unpivoting others?
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Question 8 of 15
8. Question
In a pivot operation, how are duplicate values aggregated?
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Question 9 of 15
9. Question
Which is NOT a valid aggregation option in pivoting?
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Question 10 of 15
10. Question
After unpivoting, the new column containing former column headers is called:
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Question 11 of 15
11. Question
After unpivoting, the column holding the corresponding data values is called:
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Question 12 of 15
12. Question
What’s the main risk of pivoting data?
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Question 13 of 15
13. Question
What’s the main risk of unpivoting data?
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Question 14 of 15
14. Question
Which operation is best for turning “Year” values into column headers?
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Question 15 of 15
15. Question
If your dataset is too wide and hard to analyze, which transformation is most useful?
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Summary
These Pivoting and Unpivoting Columns in Power BI MCQs explain how to reshape datasets for optimal analysis. Pivoting converts values into new column headers, while unpivoting normalizes wide data into a long format. Mastering these transformations ensures cleaner, more flexible datasets for reporting.
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