51 Power Bi Interview Questions And Answers 2024

1. List out differences between Power BI and Tableau

2. Why should we use Power BI?

3. Difference between Power Query and Power Pivot

4. Explain Power BI Designer.

5. What is Power BI Desktop

6. What is Power Pivot?

7. What is Power Query?

8. Describe the components of Microsoft’s self-service BI solution.

9. What is self-service BI, anyway?

10. What is DAX?

11. What are Filters in Power BI?

12. What are Custom Visuals in Power BI?

13. What is GetData in Power BI?

14. Mention some advantages of Power BI.

15. List out some drawbacks/limitations of using Power BI.

16. What are some differences in data modeling between Power BI Desktop and Power Pivot for Excel? 

17. Name the different connectivity modes available in Power BI? 

18. What are the various types of refresh options provided in Power BI? 

19. Name the data sources can Power BI can connect to? 

20. What is a dashboard in Power BI? 

21. Explain how relationships are defined in Power BI Desktop? 

22. Can you have more than one functional relationship between two tables in a Power Pivot data model?

23. Can you have a table in the model which does not have any relationship with other tables? 

24. What is the CALCULATE function in DAX?

25. Where is data stored in Power BI? 

26. What is row-level security?

27. Why should you apply general formatting to Power BI data?

28. What are the different views available in Power BI Desktop? 

29. What are the avrious versions of Power BI?

30. Explain the building blocks of Microsoft Power BI.

31. What are the critical components of the Power BI toolkit?

32. What do you mean by the content pack?

33. Define bi-directional cross filtering.

34. What are the three fundamental concepts of DAX?

35. Why and how would you use a custom visual file?

36. What are some familiar sources for data in the Get Data menu in Power BI?

37. What are the categories of data type?

38. Name some commonly used tasks in the Query Editor?

39. What do you mean by grouping?

40. Explain responsive slicers in Power BI.

41. What is query folding in Power BI?

42. What is “M language.”

43. What are the major differences between visual-level, page-level, and report-level filters in Power BI?

44. List the most common techniques for data shaping.

45. How is the Schedule Refresh feature designed to work?

46. What information is needed to create a map in Power Map?

47. Which in-memory analytics engine does Power Pivot use?

48. Mention important components of SSAS

49. What are the three fundamental concepts of DAX?

50. Name the variety of Power BI Formats.

51. What are the different stages in the working of Power BI?

Power Bi Interview Questions And Answers

1. Differences between Power BI and Tableau:

Ans.

• Cost: Power BI is generally considered more cost-effective for small to medium-sized businesses, while Tableau can be more expensive.
• Ease of Use: Power BI is often considered more user-friendly for beginners, while Tableau has a steeper learning curve.
• Integration: Power BI integrates well with other Microsoft products, while Tableau is more platform-independent.
• Visualization: Tableau is often praised for its advanced visualization capabilities, while Power BI is strong in data preparation and modeling.

2.Why should we use Power BI?

Ans.

• Power BI is user-friendly, making it accessible for business users.
• It integrates well with other Microsoft products.
• It has strong data modeling and transformation capabilities.
• Offers cost-effective solutions for small to medium-sized businesses.

3.Difference between Power Query and Power Pivot

Ans.

• Power Query: Used for data transformation and preparation. It helps to connect, import, and transform data from various sources.
• Power Pivot: Used for data modeling and creating relationships between tables. It allows users to create calculated columns and measures using Data Analysis Expressions (DAX).

4.Explain Power BI Designer.

Ans.Power BI’s Online Solution:
Power BI’s online solution involves utilizing Power Pivot for data modeling, Power Query for data transformation, and creating reports and dashboards. These can be uploaded to the PowerBI.com website for sharing and reference.

5.What is Power BI Desktop

Ans.Power BI Desktop is a free application that allows you to create interactive reports and dashboards. It includes Power Query and Power Pivot for data transformation and modeling.

6.What is Power Pivot:

Ans. Power Pivot is an Excel add-in used for data modeling. It enables users to create relationships, calculated columns, and measures using DAX.

7.What is Power Query:

Ans.Power Query is a data connection technology that enables users to discover, connect, and import data into Power BI. It is also available in Excel.

8.Describe the components of Microsoft’s self-service BI solution:

Ans.Power BI Desktop, Power Query, Power Pivot, and Power View are key components.

9.What is self-service BI, anyway:

Ans.Self-service BI allows business users to create their own reports and dashboards without depending on IT.

10.What is DAX:

Ans.Data Analysis Expressions (DAX) is a formula language used in Power BI and Power Pivot for creating custom calculations.

11.What are Custom Visuals in Power BI:

Ans.Custom visuals are third-party or custom-developed visualizations that can be added to Power BI for unique data representations.

12.What is GetData in Power BI:

Ans.”GetData” is not a specific term in Power BI. It might refer to obtaining data using Power Query or other data import methods.

13.Advantages of Power BI:

Ans.

• User-friendly interface.
• Integration with Microsoft ecosystem.
• Strong data modeling and transformation capabilities.

14.Drawbacks/Limitations of Power BI:

Ans.

• Steeper learning curve for advanced features.
• Some features are available only in the paid version.

15.Differences in data modeling between Power BI Desktop and Power Pivot for Excel:

Ans.The core concepts are similar, but Power BI Desktop has additional features and capabilities.