Data type conversion in Power BI ensures that each column has the correct format — such as text, number, date, or boolean — for accurate calculations and visualizations. This transformation is performed in Power Query Editor or within the data model, and it is essential for avoiding errors in reports and DAX calculations.
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Where can you change a column’s data type in Power BI?
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Question 2 of 15
2. Question
Which icon indicates a Date data type in Power Query?
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Question 3 of 15
3. Question
What does changing a data type in Power Query actually do?
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Question 4 of 15
4. Question
Which data type is best for storing whole numbers in Power BI?
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Question 5 of 15
5. Question
Which data type should be used for monetary values?
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Question 6 of 15
6. Question
What happens if you change a text column to a number type and it contains letters?
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Question 7 of 15
7. Question
Which of these is NOT a valid Power BI data type?
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Question 8 of 15
8. Question
Which option in Power Query allows automatic type detection during data load?
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Question 9 of 15
9. Question
When converting data types, why is it important to set them correctly before creating measures?
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Question 10 of 15
10. Question
Which function in Power Query is used for programmatic type conversion in M language?
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Question 11 of 15
11. Question
What is the default data type for a newly imported column in Power BI if the type is unclear?
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Question 12 of 15
12. Question
Which data type should be used for Yes/No fields?
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Question 13 of 15
13. Question
What happens if you change a column’s data type in Data View instead of Power Query?
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Question 14 of 15
14. Question
Which type of data conversion may lead to loss of precision?
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Question 15 of 15
15. Question
Why is consistent data type conversion important when combining datasets?
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Summary
These Data Type Conversion in Power BI MCQs cover how to correctly assign and change data types for better calculations, accurate visualizations, and error-free joins. Setting the right type ensures Power BI processes data efficiently and delivers correct insights.
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