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Question-1. What is Power BI?
Answer-1: Power BI is a Microsoft cloud-based business analytics service that enables interactive data visualization and business intelligence capabilities.
Question-2. What is AWS QuickSight?
Answer-2: AWS QuickSight is a cloud-powered business intelligence service by Amazon Web Services that enables fast and easy data visualization and analysis.
Question-3. How does Power BI connect to data sources?
Answer-3: Power BI connects to a variety of data sources including databases, cloud services, Excel files, and APIs through connectors.
Question-4. What data sources does AWS QuickSight support?
Answer-4: AWS QuickSight supports AWS data sources like S3, Redshift, RDS, Athena, as well as external databases and files.
Question-5. What are the main components of Power BI?
Answer-5: The main components include Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Report Server.
Question-6. How does AWS QuickSight handle data visualization?
Answer-6: QuickSight provides interactive dashboards and visualizations with built-in chart types and custom visual capabilities.
Question-7. What is DirectQuery in Power BI?
Answer-7: DirectQuery allows Power BI reports to query the data source in real-time without importing data into Power BI.
Question-8. Does AWS QuickSight support real-time data analysis?
Answer-8: Yes, QuickSight can connect to real-time streaming data sources using services like Kinesis or Athena.
Question-9. What are the pricing models for Power BI?
Answer-9: Power BI offers free, Pro, and Premium tiers based on user capabilities and data capacity.
Question-10. How is AWS QuickSight priced?
Answer-10: QuickSight pricing is based on user sessions and edition (Standard or Enterprise), with a pay-per-session model for some users.
Question-11. What is Power BI Premium?
Answer-11: Premium offers dedicated cloud compute and storage resources, allowing large-scale deployments and advanced features.
Question-12. Can AWS QuickSight integrate with other AWS services?
Answer-12: Yes, it integrates seamlessly with AWS services like Redshift, S3, Athena, and RDS.
Question-13. What are Power BI dashboards?
Answer-13: Dashboards are collections of visuals from multiple reports providing a consolidated view of data.
Question-14. How does AWS QuickSight enable collaboration?
Answer-14: QuickSight allows sharing dashboards with users and embedding analytics into applications.
Question-15. What is data refresh in Power BI?
Answer-15: Data refresh updates the data in Power BI reports and dashboards either on-demand or on a schedule.
Question-16. How does AWS QuickSight perform data preparation?
Answer-16: QuickSight provides data prep tools like data cleaning, transformation, and SPICE in-memory engine for faster analysis.
Question-17. What is SPICE in Power BI?
Answer-17: SPICE is Power BI?s in-memory data engine that accelerates data processing and enables fast querying.
Question-18. Does AWS QuickSight have an in-memory engine?
Answer-18: Yes, QuickSight uses a Super-fast, Parallel, In-memory Calculation Engine (SPICE) for high-speed analytics.
Question-19. How do Power BI and QuickSight handle security?
Answer-19: Both platforms support role-based access, data encryption, and integrate with enterprise identity providers.
Question-20. What languages are supported for custom calculations in Power BI?
Answer-20: Power BI supports DAX (Data Analysis Expressions) for advanced calculations.
Question-21. Does AWS QuickSight support custom calculations?
Answer-21: Yes, it supports custom calculations using functions in its built-in formula language.
Question-22. What is Power Query in Power BI?
Answer-22: Power Query is a data connection and transformation tool used to prepare data before loading into Power BI.
Question-23. How does AWS QuickSight handle data transformation?
Answer-23: QuickSight provides built-in data preparation and supports SQL for custom transformations.
Question-24. What visualization types are available in Power BI?
Answer-24: Power BI offers charts, maps, tables, KPIs, gauges, and custom visuals.
Question-25. What visualization options does AWS QuickSight provide?
Answer-25: QuickSight includes bar charts, line charts, scatter plots, heat maps, pivot tables, and more.
Question-26. How can users share Power BI reports?
Answer-26: Reports can be shared via Power BI Service, embedded in apps, or exported to PDF and PowerPoint.
Question-27. How does AWS QuickSight support embedding analytics?
Answer-27: QuickSight provides APIs and SDKs to embed dashboards in web or mobile applications.
Question-28. What is the difference between Power BI Desktop and Power BI Service?
Answer-28: Desktop is for report creation and data modeling; Service is cloud-based for sharing and collaboration.
Question-29. How scalable is AWS QuickSight for enterprise use?
Answer-29: QuickSight is designed to scale automatically with AWS infrastructure for large data volumes and users.
Question-30. What are Power BI apps?
Answer-30: Apps are packaged collections of dashboards and reports that can be distributed to users or groups.
Question-31. Does AWS QuickSight support machine learning?
Answer-31: Yes, QuickSight integrates with AWS ML services and has built-in anomaly detection features.
Question-32. How does Power BI support AI features?
Answer-32: Power BI integrates AI visuals, natural language queries, and Azure Cognitive Services for advanced analytics.
Question-33. Can AWS QuickSight connect to on-premises data?
Answer-33: Yes, through AWS Direct Connect or VPN, QuickSight can access on-premises data sources.
Question-34. What is the significance of row-level security (RLS) in Power BI?
Answer-34: RLS restricts data access for users based on roles, enhancing data security.
Question-35. Does AWS QuickSight support row-level security?
Answer-35: Yes, QuickSight supports row-level security to control data visibility per user.
Question-36. How does Power BI handle mobile access?
Answer-36: Power BI provides native mobile apps for iOS and Android for viewing reports and dashboards.
Question-37. Does AWS QuickSight have mobile support?
Answer-37: QuickSight dashboards can be accessed via mobile browsers and AWS mobile SDKs.
Question-38. What is the difference between import mode and DirectQuery in Power BI?
Answer-38: Import mode loads data into Power BI?s memory; DirectQuery queries data live from source.
Question-39. How does AWS QuickSight optimize performance for large datasets?
Answer-39: By using SPICE and query optimization techniques with direct queries.
Question-40. What collaboration tools are integrated in Power BI?
Answer-40: Power BI integrates with Microsoft Teams, SharePoint, and Office 365 for collaboration.
Question-41. How does AWS QuickSight facilitate alerting?
Answer-41: QuickSight supports scheduled email reports and can trigger alerts based on data thresholds.
Question-42. What is data lineage and does Power BI support it?
Answer-42: Data lineage tracks data origin and transformations; Power BI supports lineage visualization in the service.
Question-43. Does AWS QuickSight provide data lineage capabilities?
Answer-43: Limited data lineage is available through audit logs and integration with AWS Glue.
Question-44. How can Power BI reports be embedded in other applications?
Answer-44: Using Power BI Embedded service and REST APIs.
Question-45. Can AWS QuickSight dashboards be embedded?
Answer-45: Yes, using the QuickSight Embedding SDK and APIs.
Question-46. What are the key differences between Power BI and AWS QuickSight?
Answer-46: Power BI offers rich customization and desktop tools; QuickSight is fully managed with deep AWS integration.
Question-47. What is the role of connectors in Power BI?
Answer-47: Connectors enable Power BI to access diverse data sources seamlessly.
Question-48. How does AWS QuickSight handle data governance?
Answer-48: It integrates with AWS IAM and supports fine-grained access control and audit logging.
Question-49. How do licensing models differ between Power BI and AWS QuickSight?
Answer-49: Power BI uses per-user licensing; QuickSight has per-user and pay-per-session pricing.
Question-50. What factors should be considered when choosing between Power BI and AWS QuickSight?
Answer-50: Consider integration needs, user scale, data source compatibility, customization, and cost.
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Cloud-Based Analytics Platforms (Power BI, AWS QuickSight) Interview Questions and Answers in PDF form Online
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