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Power BI Interview Questionswith Answers Part-1✅ 1. What is Power BI? Power BI is a Microsoft business analytics tool that enables users to connect to multiple data sources, transform and model data, and create interactive reports and dashboards for data-driven decision making. 2. Explain the key components of Power BI. The main components are: ⦁ Power Query for data extraction and transformation. ⦁ Power Pivot for data modeling and relationships. ⦁ Power View for interactive visualizations. ⦁ Power BI Service for publishing and sharing reports. ⦁ Power BI Mobile for accessing reports on mobile devices. 3. Differentiate between Power BI Desktop, Service, and Mobile. ⦁ Desktop: The primary application for building reports and models. ⦁ Service: Cloud-based platform for publishing, sharing, and collaboration. ⦁ Mobile: Apps for viewing reports and dashboards on mobile devices. 4. What are the different types of data sources in Power BI? Power BI connects to a wide range of sources: files (Excel, CSV), databases (SQL Server, Oracle), cloud sources (Azure, Salesforce), online services, and web APIs. 5. Explain the Get Data process in Power BI. “Get Data” is the process to connect and import data into Power BI from various sources using connectors, enabling users to load and prepare data for analysis. 6. What is Power Query Editor? Power Query Editor is a graphical interface in Power BI for data transformation and cleansing, allowing users to filter, merge, pivot, and shape data before loading it into the model. 7. How do you clean and transform data in Power Query? By applying transformations like removing duplicates, filtering rows, changing data types, splitting columns, merging queries, and adding calculated columns using the intuitive UI or M language. 8. What are the different data transformations available in Power Query? Common transformations include filtering rows, sorting, pivot/unpivot columns, splitting columns, replacing values, aggregations, and adding custom columns. 9. What is M language in Power BI? M is the functional programming language behind Power Query, used for building advanced data transformation scripts beyond the UI capabilities. 10. Explain the concept of data modeling in Power BI. Data modeling is organizing data tables, defining relationships, setting cardinality and cross-filter directions, and creating calculated columns and measures to enable efficient and accurate data analysis. Double Tap ❤️ for Part-2