Title INTERVIEW QUESTIONS ✅

MOST COMMONLY ASKED 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 you create them? 9. What is the difference between a star schema and a snowflake schema? 10.How do you create visualizations in Power BI? 11. What are some common types of visualizations in Power BI? 12.How do you customize visualizations in Power BI? 13.What is the role of slicers in Power BI? 14.What is Power Query in Power BI? 15.How do you clean and transform data using Power Query in Power BI? 16.Explain the concept of M language in Power Query. 17.What are some common data transformation tasks in Power Query? 18.How do you handle missing or inconsistent data in Power Query? 19.What types of data sources does Power BI support? 20.How do you connect to different data sources in Power BI? 21.Explain the process of importing data versus using DirectQuery in Power BI. 22.What are the limitations of using DirectQuery in Power BI? 23.Can you connect Power BI to live data sources? How?
24.What is DAX? 25.Explain the difference between calculated columns and measures in Power BI. 26.Explain the difference between calculated columns and measures in Power BI. 27.How do you create calculated tables in Power BI? 28.What is the difference between CALCULATE and CALCULATETABLE in DAX? 29.What is Power BI and what are its key components? 30.Differentiate between Power BI and Excel for data analysis. 31.Explain the functionalities of Power Query in Power BI. 32.Describe the purpose of DAX (Data Analysis Expressions) in Power BI. 33.What are the different data sources Power BI can connect to? 34.What are measures and calculated columns in Power BI? 35.How do you create basic visualizations (charts and graphs) in Power BI? 36.Explain the concept of filtering in Power BI. 37.What are dashboards in Power BI, and how do they differ from reports? 38.Briefly describe how to share Power BI reports and dashboards. 39.Explain the importance of data cleaning and transformation in Power BI. 40.How do you handle missing values in your data using Power BI? 41.Describe different types of relationships in Power BI. 42.What are some best practices for building efficient data models in Power BI? 43.How do you use drill-down and drill-through in Power BI reports? 44.What are some techniques for creating dynamic reports in Power BI? 45.Explain how to implement row-level security (RLS) in Power BI. 46.Describe the use of bookmarks and slicers in Power BI for enhancing interactivity. 47.How can you schedule report refreshes in Power BI? 48.How do you handle complex calculations using DAX in Power BI? 49.Describe techniques for optimizing report performance in Power BI. 50.What are some strategies for sharing Power BI reports with others? 51.Describe the functionalities of Power BI Gateway.
52.Describe the functionalities of Power BI Gateway. 53.What are some considerations for deploying Power BI in an organization? 54.Describe the purpose of Power BI administration. 55.How can you leverage Power BI Desktop themes for report consistency? 56.Explain the concept of data gateways in Power BI. 57.Describe the use case for composite models in Power BI. 58.How can you connect to real-time data sources in Power BI? 59.Explain the functionalities of Power BI APIs. 60.How can you create custom aggregations using DAX in Power BI? 61.How can you troubleshoot common DAX errors in Power BI? 62.How can you leverage Power BI memory optimization techniques? 63.What is the role of Power BI in advanced analytics? 64.How do you publish reports from Power BI Desktop to Power BI Service? 65.What is the difference between a dashboard and a report in Power BI? 66.What are the different types of roles available in Power BI Service?
1. What is Power BI? Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It connects to a wide range of data sources and transforms raw data into meaningful insights through easy-to-understand visuals. 2. What are the key components of Power BI? The key components of Power BI include: - Power BI Desktop: A Windows desktop application for creating reports and data models. - Power BI Service: An online SaaS (Software as a Service) service for sharing, collaboration, and administration. - Power BI Mobile Apps: Mobile apps for iOS, Android, and Windows devices to access reports and dashboards on the go. - Power BI Gateway: Used to sync external data in and out of Power BI. - Power BI Report Server: An on-premises solution for reporting with Power BI. - Power BI Embedded: A service to embed Power BI reports into custom applications. 3. Explain the difference between Power BI Desktop and Power BI Service. - Power BI Desktop: A free desktop application used primarily for creating and developing reports, transforming data, and building data models. It provides extensive data manipulation capabilities. - Power BI Service: A cloud-based service where you can publish, share, and collaborate on reports and dashboards created in Power BI Desktop. It allows users to access and interact with their reports online.