Power BI Interview Questions with Answers Part-5 ✅

41. What is the difference between import and direct query mode?
⦁ Import: Data is loaded into Power BI’s in-memory engine for fast performance.
⦁ DirectQuery: Queries data live from source without importing, good for real-time data but slower response.

42. When should you use direct query mode? 
Use DirectQuery when data is very large or constantly changing, requiring real-time or near real-time access without importing all data.

43. How do you connect to cloud data sources in Power BI? 
Power BI supports built-in connectors for cloud sources like Azure SQL Database, Azure Data Lake, Salesforce, Google Analytics, and others, allowing secure and direct connection.

44. What are the advantages of using Power BI? 
It offers user-friendly interfaces, connectivity to many data sources, powerful data modeling with DAX, interactive reports/dashboards, cloud collaboration, and scalability.

45. How do you handle errors in Power BI? 
Use Power Query error handling features, validate data before loading, apply try/otherwise steps in M language, and monitor refresh logs to troubleshoot issues.

46. What are the limitations of Power BI? 
Limitations include dataset size limits (1GB for free, larger with Premium), limited custom visual flexibility, dependency on internet for Service, and data refresh frequency limits.

47. Explain Power BI Embedded. 
Power BI Embedded allows developers to embed Power BI reports and dashboards into custom applications, providing analytics and visualization capabilities within third-party apps.

48. What is Power BI Report Server? 
An on-premises solution to host, publish, and manage Power BI reports within a company’s own infrastructure, helping with compliance and data security.

49. How do you use Power BI with Azure? 
Integrate Power BI with Azure services like Azure Synapse, Azure Data Lake, Azure Machine Learning for enhanced data processing, advanced analytics, and scalable storage.

50. What are the latest features of Power BI? 
Includes enhanced AI visuals, improved dataflows, new DAX functions, field parameters for dynamic axis, new connectors, performance boosts, and expanded deployment options.

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