Power Bi Interview Questions

1. What is Power BI?
2. What are the key components of Power BI?
3. Explain the difference between Power BI Desktop and Power BI Service.
4. How does Power BI differ from Excel?
5. What are the benefits of using Power BI?
6. What is data modeling in Power BI?
7. Explain the concept of relationships in Power BI.
8. What are calculated columns and measures? How do they differ?
9. What is the difference between a star schema and a snowflake schema?
10. How do you optimize data models for performance in Power BI?
11. How do you create visualizations in Power BI?
12. What are some common types of visualizations available in Power BI?
13. How do you customize visualizations in Power BI?
14. What is the role of slicers in Power BI?
15. How can you use bookmarks in Power BI reports?
16. What is Power Query in Power BI?
17. How do you clean and transform data using Power Query?
18. Explain the concept of M language in Power Query.
19. What are some common data transformation tasks you can perform in Power Query?
20. How do you handle missing or inconsistent data in Power BI?
21. What types of data sources does Power BI support?
22. How do you connect to different data sources in Power BI?
23. Explain the process of importing data versus using DirectQuery in Power BI.
24. What are the limitations of using DirectQuery in Power BI?
25. Can you connect Power BI to live data sources? If so, how?
26. What is DAX?
27. Explain the difference between calculated columns and measures in DAX.
28. What are some common DAX functions used for calculations?
29. How do you create calculated tables in Power BI using DAX?
30. What is the difference between CALCULATE and CALCULATETABLE functions in DAX?
31. What is Power BI and what are its key components (Power BI Desktop, Service, Mobile)?
32. Differentiate between Power BI and Excel for data analysis.
33. Explain the functionalities of Power Query Editor.
34. Describe the purpose of DAX (Data Analysis Expressions) in Power BI.
35. What are the different data sources Power BI can connect to? (e.g., Excel files, databases)
36. What are measures and calculated columns in Power BI?
37. How do you create basic visualizations (charts) in Power BI reports?
38. Explain the concept of filtering in Power BI reports.
39. What are dashboards in Power BI, and how do they differ from reports?
40. Briefly describe how to share Power BI reports and dashboards with colleagues.
41. Explain the importance of data cleaning and transformation in Power BI.
42. How do you handle missing values in your data model?
43. Describe different types of relationships between tables in Power BI.
44. What are some best practices for building an efficient data model?
45. Explain how to create calculated tables in Power BI.
46. How do you use drill-down and drill-through functionalities in reports?
47. What are some techniques for creating dynamic titles and labels in reports?
48. Explain how to implement row-level security in Power BI.
49. Describe the use of bookmarks and slicers for interactive reports.
50. How can you schedule report refreshes in Power BI Service?
51. Write a DAX formula to calculate the Year-over-Year (YoY) change in sales.
52. Explain the concept of Time Intelligence functions in DAX.
53. How do you handle complex calculations using DAX variables and iterators?
54. Describe techniques for optimizing report performance in Power BI.
55. What are some strategies for sharing Power BI content with large audiences?
56. Explain the concept of incremental refresh in Power BI Service.
57. How can you leverage Power BI Q&A for natural language data exploration?
58. Describe the functionalities of Power BI Gateway for on-premises data access.
59. How can you implement role-based access control (RBAC) in Power BI?
60. Explain the benefits of using Azure Analysis Services with Power BI.
61. What are some considerations for deploying Power BI reports on mobile devices?
62. How can you integrate Power BI with other Microsoft products (e.g., Power Automate)?
63. Explain the concept of Power BI paginated reports and their use cases.
64. Describe the purpose of Power BI administration tools and functionalities.
65. How can you leverage Power BI Desktop themes for consistent report branding?
66. Explain the concept of data gateways in Power BI and their types.
67. Describe the use case for composite models in Power BI Service.
68. How can you connect to real-time data sources using Power BI?
69. Explain the functionalities of Power BI APIs for programmatic access.
70. Describe the benefits of using Azure Databricks with Power BI.
71. Explain the difference between CALCULATE and FILTER functions in DAX.
72. How can you create custom aggregations using DAX summarize function?
73. Describe advanced DAX techniques like EARLIER and PARALLELCONTEXT.
74. How can you troubleshoot common DAX errors (e.g., circular dependencies)?
75. Explain the concept of star schema and snowflake schema for data modeling.
76. How do you optimize performance using aggregations and partitions in your model?
77. Describe techniques for handling large datasets efficiently in Power BI.
78. How can you leverage Power BI memory optimization features?
79. What is the role of Power BI in advanced analytics?
80. How do you integrate machine learning models into Power BI?
81. Explain the process of using R or Python scripts in Power BI.
82. Can you create custom visuals in Power BI? If so, how?
83. How can you perform sentiment analysis in Power BI?
84. What is Power BI Service?
85. How do you publish reports from Power BI Desktop to Power BI Service?
86. Explain the process of sharing dashboards and reports in Power BI Service.
87. What is the difference between a dashboard and a report in Power BI Service?
88. How do you schedule data refresh in Power BI Service?
89. How do you manage security in Power BI?
90. What are the different types of roles available in Power BI?
91. Explain the concept of row-level security in Power BI.
92. How do you implement row-level security in Power BI?
93. What are some best practices for administering Power BI?
94. How can you integrate Power BI with other Microsoft products like SharePoint or Teams?
95. What is Power BI Embedded?
96. How do you embed Power BI reports into custom applications?
97. Explain the process of embedding Power BI reports using the Power BI REST API.
98. What are some considerations for embedding Power BI reports securely?
99. How do you optimize report performance in Power BI?
100. What are some common techniques for improving the load time of Power BI reports?
101. How do you optimize DAX calculations for better performance?
102. What role does data compression play in Power BI performance?
103. How can you monitor and troubleshoot performance issues in Power BI?
104. What is data governance in Power BI?
105. How do you enforce data governance policies in Power BI?
106. What are some best practices for data governance in Power BI?
107. How do you manage data lineage in Power BI?
108. What tools or features does Power BI provide for data governance?
109. What is data refresh in Power BI?
110. How do you configure scheduled data refresh for datasets in Power BI Service?
111. What are dataflows in Power BI?
112. How do dataflows differ from traditional data sources in Power BI?
113. What are some benefits of using dataflows in Power BI?
114. How do you monitor performance in Power BI?
115. What tools or features does Power BI provide for performance monitoring?
116. How do you identify and troubleshoot performance bottlenecks in Power BI?
117. What are some best practices for optimizing performance in Power BI?
118. How do you optimize data models for better performance?
119. What are the different ways to connect to data sources in Power BI?
120. How do you import data into Power BI from external sources?
121. Explain the concept of DirectQuery in Power BI.
122. What are some considerations for choosing between import and DirectQuery modes?
123. How do you handle data transformation and cleaning in Power BI?
124. What are custom visualizations in Power BI?
125. How do you import and use custom visualizations in Power BI?
126. Can you create your own custom visualizations in Power BI?
127. What tools or languages can you use to develop custom visualizations?
128. What are some considerations for choosing custom visualizations in Power BI?
129. How do you integrate advanced analytics and AI capabilities into Power BI?
130. What are some common scenarios where advanced analytics can add value to Power BI reports?
131. How do you use R or Python scripts in Power BI for advanced analytics?
132. What are some machine learning algorithms that can be applied within Power BI?
133. How do you deploy machine learning models in Power BI?
134. How do you deploy Power BI reports and dashboards?
135. What are some considerations for deploying Power BI content to different environments?
136. How do you share Power BI reports with stakeholders?
137. What are some options for distributing Power BI reports to a wider audience?
138. How do you manage access and permissions for Power BI content?
139. How do you administer Power BI service for an organization?
140. What are some best practices for managing Power BI workspaces?
141. How do you enforce governance policies in Power BI?
142. What tools or features does Power BI provide for monitoring usage and performance?
143. How do you manage security and access controls in Power BI?
144. How does Power BI integrate with other Microsoft products like Excel, SharePoint, and Teams?
145. What are some third-party tools or platforms that Power BI can integrate with?
146. How do you embed Power BI reports into custom applications or websites?
147. What APIs does Power BI provide for integration with other systems?
148. How do you use Power BI to analyze data from different sources and systems?
149. Explain the integration between Power BI and Azure Machine Learning for data analysis.
150. Describe the benefits of using Power BI Embedded for embedding reports in applications.

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