Power BI Interview Questions

Last updated on Nov 17, 2023

Power BI has gained widespread popularity as a self-service business intelligence cloud service that is accessible at no cost. Its high rating and increasing demand in the market make it a preferred tool, notably recognized as a top choice by editors. This tool is extensively used across various sectors, including retail, professional services, manufacturing, and telecommunications. To aid in interview preparation, we offer a comprehensive collection of frequently asked Power BI interview questions and answers, catering to beginners, intermediate, and advanced levels. This resource is designed to fully equip you for interviews, ensuring that no additional preparation is necessary.

Most Frequently Asked Power BI Interview Questions and Answers Scenario based

           What is Power BI?

Power BI Interview Questions for Beginners

1. What is Power BI?

Ans: Power BI is a comprehensive business intelligence platform that specializes in data visualization. It transforms data from various sources into insightful BI reports and dynamic dashboards. Power BI is renowned for its extensive array of services and connectors, integrating seamlessly with diverse software ecosystems.

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2. What is the use of Power BI?

AnsPower BI serves multiple functions:

  • It delivers SaaS-based reports and ready-to-use dashboards.
  • Enables real-time updates for dashboards.
  • Facilitates secure connections to data sources in the cloud.
  • Supports a hybrid setup, ensuring rapid deployment and a secure environment.
  • Empowers users to conduct data queries using natural language.

3. List out the essential components of Power BI components?

AnsKey components of Power BI include:

  • Data Integration
  • Data Processing
  • Data Presentation

4. Define the term Dax function?

Ans: DAX, or Data Analysis Expressions, is a powerful language used in Power BI for creating calculated columns. It comprises operators, functions, and constants, forming formulas that compute values or return complex data.

5. Mention various kinds of Dax.

AnsDAX supports multiple data types, including:

  • Numeric
  • Boolean
  • DateTime
  • String
  • Decimal

Related Article: DAX In Power BI

6. List out some critical applications of Power BI.

AnsPower BI is crucial in various domains, such as:

  • Project Management (PMO)
  • Data and Business Analysis
  • Database Administration and Development
  • IT Management
  • End-User Report Consumption
  • Data Science

7. What are the disadvantages of Power BI?

AnsPower BI's limitations include:

  • Restriction to users with the same email domain for report sharing.
  • Inability to merge imported data with real-time data connections.
  • Constraints on handling files larger than 1GB.
  • Power BI dashboards do not support certain entity parameters.

8. Mention any three essential tools of Power BI.

AnsThree pivotal tools of Power BI are:

  • Power BI Desktop: Ideal for desktop usage.
  • Power BI Service: An online service tool.
  • Power BI Mobile Apps: Designed for Android and iOS devices.

9. What are the essential components of the Power BI toolkit?

AnsThe Power BI toolkit comprises:

  • Power Query: For data sourcing and manipulation.
  • Power Pivot: A data modeling tool.
  • Power View: For creating charts and tables.
  • Power Map: Provides geospatial data representations.
  • Power Q&A: Enables natural language data queries.

10. List Out the available kinds of data types in Power BI.

AnsPower BI Desktop supports various data sources, including:

All data types

  • Files
  • Databases
  • Power BI integrations
  • Azure services
  • Online services
  • Other miscellaneous sources

11. Describe grouping and its use.

Ans: The desktop of Power BI permits us to group the information as mini chunks, and we can utilize Ctrl+ to choose various visual elements that help us in a grouping. Give right-click for those elements that appear in the windows of groups.

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12. What are responsive slicers?

AnsResponsive slicers in Power BI are adaptable in size and shape, optimizing data display on report pages. They automatically adjust content and display icons when the size is too small, thus saving space.

13. What is the M language?

AnsThe M language, used in the Power Query Editor, is a versatile query language that pre-processes data for Power BI, enhancing data loading efficiency.

14. What is the essential information required for map creation in the Power map?

AnsFor geographical visualizations in Power Map, vital data includes location-based information like state, city, country, latitude, and longitude.

15. List out some essential features of Power BI dashboards.

AnsPower BI dashboards offer features like:

  • Drill-through capability.
  • Customizable tiles with various content types.
  • Mobile view layout optimization.

16. Explain the steps for the data stories gallery in Power BI communities?

AnsTo access the Data Story Gallery in Power BI:

  • Visit PowerBI.com.
  • Navigate to 'Learn' and select 'Community'.
  • Scroll down to the Data Story Gallery.
  • Users can submit their data stories here.

17. Define Power Pivot.

AnsPower Pivot is an in-memory component for data storage, offering data modeling, formula creation, and calculations. It supports filters at the visualization, page, and report levels.

18. How to perform dynamic filtering in Power BI?

AnsFor dynamic filtering in Power BI:

  • Complete data setup and prepare a detailed report.
  • Publish to a group workspace.
  • Create a filter link and a DAX calculated column.
  • Publish the overview report.

Power BI Interview Questions for Intermediates

19. How to analyze Power BI reports data in excel?

AnsTo analyze Power BI report data in Excel:

  • Access Power BI's admin portal and check Excel integration settings.
  • Install necessary Excel updates.
  • In Power BI, navigate to the workspace, select the dataset, and choose 'Analyze in Excel'.
  • Download and open the ODC file, and log in with Power BI credentials.

20. Share your knowledge on the advantages of using variables in DAX?

AnsVariables in DAX offer:

  • The ability to reuse variables in expressions, reducing database queries.
  • Enhanced logical structuring of DAX expressions.
  • Scope limitation to specific measures.

21. Why use a selection pane in Power BI?

Ans: The selection pane in Power BI is a powerful tool for report creation, offering an organized view of page objects and managing their visibility.

22. Bring out the significant differences between old and new versions of the power bi tool?

Ans: The latest version of Power BI, known as Power BI Desktop, amalgamates features of Power Pivot, Power Query, and Power View, offering an all-in-one solution with enhanced visualization capabilities.

23. Is the power BI provides a free version?

AnsPower BI has a free version, but full feature access requires a Pro subscription, which includes enhanced features not available in the free version.

24. Which kind of data is suitable for Power BI storage?

AnsPower BI efficiently stores two types of data:

  • Fact Tables: Central tables in data warehouses, storing quantitative information.
  • Dimensional Tables: Used for storing attributes and dimensions related to objects in fact tables.

25. Describe the advantage of a Power BI designer.

AnsThe Power BI Designer allows users to easily create intuitive reports and dashboards, offering flexibility in data visualization and aiding in analytical decision-making.

26. Mention the available gateways of Power BI

AnsPower BI utilizes two primary gateway methods:

  • On-Premises Data Gateway: Facilitates secure data transfer between on-premises data sources and Power BI.
  • Personal Mode of On-Premises Data Gateway: Tailored for individual use, connecting personal data sources with Power BI.

27. How to add SSRS with Power BI?

Ans: To integrate SSRS with Power BI:

  • Pin SSRS report items, like charts, to Power BI dashboards.
  • Use Power BI's Personal Time Off (PTO) feature to maintain up-to-date data snapshots and set up subscriptions.
  • Publish Power BI reports via the SSRS portal for enhanced reporting capabilities.

28. Share your idea about the Z-order of Power BI.

AnsThe Z-order in Power BI is a strategic approach to visual arrangement, focusing on layering various elements in reports. It’s a vital method for managing overlapping elements and enhancing the clarity of complex reports.

29. Explain x speed in memory investigation motor used for power pivot.

AnsThe XVelocity in-memory analytics engine powers Power Pivot. It's designed to handle large datasets, storing data in a columnar database for swift and efficient data processing and analytics.

30. Describe self-service business intelligence.

AnsSelf-service business intelligence empowers users, irrespective of their technical expertise, to analyze and interpret data. This approach democratizes data analysis, enabling business users to derive insights without reliance on specialized IT skills.

31. List out various types of refresh options available in Power Bi.

AnsPower BI offers four refresh options:

  • Package Refresh: Synchronizes Power BI Desktop files with Power BI Service and OneDrive.
  • Model Refresh: Refreshes datasets in Power BI services using original data sources.
  • Tile Refresh: Updates tile visuals' cache every 15 minutes or upon data changes on the dashboard.
  • Visual Container Refresh: Updates the visual cache for report visuals when data changes.

32. Mention the data source that can connect to Power BI.

AnsPower BI connects with a variety of data sources, categorized into:

  • Files: Includes Excel, Power BI Desktop files, CSV, etc.
  • Content Packs: Comprises two types – service provider content packs (e.g., Google Analytics, Salesforce) and company-specific packs created and shared by users.
  • Connectors: Facilitate linking datasets and databases with various services and applications.

33. Share your knowledge on the Power BI dashboard.

Ans: The Power BI dashboard is a single-page visual representation of diverse reports, featuring:

  • Drill-through capabilities using pages, selection panes, and bookmarks.
  • Ability to create various tiles and integrate URLs.
  • Customization for mobile view layouts.

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34. How are the relationships defined in the desktop of Power BI?

AnsRelationships in Power BI Desktop can be established in two ways:

  • Manual: Manually defining relationships using primary and foreign keys.
  • Automatic: Power BI automatically detects and establishes relationships between tables.

35. Can we have multiple relationships between two tables in the power pivot data model?

AnsIn the Power Pivot data model, it's not possible to have multiple active relationships between two tables simultaneously. However, multiple relationships can be maintained in an inactive state, with only one being active at a time.

36. How to schedule refresh feature work?

Ans: The schedule refresh feature in Power BI allows for automated data updates on a regular or weekly basis at selected times. Without a Power BI subscription, a maximum of one refresh can be scheduled. Users can set the frequency and timing through the scheduled refresh menu options.

Power BI Interview Questions for Advanced

37. Explain where we can store data in Power BI?

AnsIn Power BI, data is typically stored in two types of tables:

  • Fact Tables: Central tables in data warehouses that store quantitative analysis data.
  • Dimension Tables: Support tables in data warehouses used for storing attributes that describe objects in fact tables.

38. Share your knowledge about various views on the desktop of Power BI.

AnsPower BI Desktop offers three key views, each serving distinct purposes:

  • Report View: Enables adding and publishing visualizations and reports.
  • Data View: Assists in shaping data using Query Editor tools.
  • Relationship View: Allows users to manage and view relationships between datasets.

39. Describe the available formats of Power BI?

AnsPower BI is available in multiple formats:

  • Power BI Desktop: Suited for desktop computers.
  • Power BI Service: Operates as a SaaS (Software as a Service).
  • Mobile Power BI Apps: Designed for Android and iOS devices.
  • These formats are used in conjunction to create, publish, and share reports across different platforms.

40. Briefly explain the building blocks of Power BI?

AnsPower BI's foundational elements include:

  • Visualizations: These are graphical representations such as charts and graphs.
  • Datasets: Collections of related data used for creating visualizations.
  • Reports: A compilation of visualizations, like maps and graphs, across multiple pages.
  • Dashboards: Single-page, shareable interfaces displaying visualizations.
  • Tiles: Individual visual elements within a report or dashboard.

41. Describe the essential power bi toolkit components.

AnsThe Power BI toolkit comprises key components:

  • Power Query: Enables data identification, management, and consolidation.
  • Power Pivot: A data modeling tool for complex calculations.
  • Power Map: Facilitates the creation of geospatial data representations.
  • Power Q&A: Allows natural language querying for data insights.

42. Define paginated reports?

AnsPaginated reports are document-style reports with a fixed layout, ideal for print formats. They expand both vertically and horizontally to display data accurately and are known for their pixel-perfect precision.

43. How to use Power BI on mobile devices?

AnsPower BI is accessible on mobile devices through apps compatible with iOS, Android, and Windows 10. These apps can be downloaded from respective app stores and offer on-the-go data interaction and visualization.

44. Describe the prerequisites for gateway download in our system.

AnsTo download a Power BI gateway, the system requirements include:

  • .NET Framework 4.5
  • Windows 7 or Windows Server 2008 R2 and newer
  • At least an 8-core CPU
  • A minimum of 8 GB memory
  • A 64-bit version of Windows 2012 R2

45. Describe the essential prerequisites for Power BI connection to Azure SQL database.

AnsA critical prerequisite for connecting Power BI to Azure SQL Database is configuring firewall settings to allow remote connections, ensuring secure and uninterrupted data access.

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46. Share your knowledge about Z-order.

Ans: Z-order in Power BI refers to the layering strategy for arranging report elements like tables, slicers, and visualizations, ensuring a coherent and structured visual representation.

47. How to map geographic data into power bi reports?

Ans: Geographic data in Power BI reports can be mapped using Bing Maps integration for automatic geocoding, eliminating the need for manual longitude and latitude inputs. Map charts in Power BI facilitate this geographic data representation.

48. How to refresh Power BI reports after publishing?

AnsAfter publishing, Power BI reports can be refreshed through cloud-based gateways. These gateways facilitate data updates from on-premises sources to ensure report accuracy and currency.

49. How to shape our data in Power BI?

AnsData shaping in Power BI involves:

  • Deleting unnecessary rows and columns.
  • Adding indexes to data tables.
  • Applying sorting orders based on specific values.

50. Share your knowledge on the advanced editors in Power BI.

AnsThe advanced editor in Power BI's Query Editor allows for M-code inspection and editing, facilitating query syntax verification and step-by-step code analysis for efficient data manipulation.

51. What are the advantages of the Power BI gateway?

AnsThe Power BI gateway offers benefits like:

  • Easy system installation.
  • Adding users who require data access.
  • Connecting on-premises data sources for report generation.
  • Facilitating data refresh to keep reports updated.

52. Describe the calculated columns in Power BI?

AnsCalculated columns in Power BI use DAX formulas to generate new columns in data tables. Each value is computed during processing, providing evaluated results based on the DAX formula.

53. Define the Query folding in Power Query?

Ans: Query folding in Power Query translates M-code into SQL for efficient execution on database sources, optimizing performance for client machines with limited resources.

Power BI Scenario Based Interview Questions

54. Describe your definition of BI.

Ans: Business Intelligence (BI) refers to a suite of technologies aimed at data analysis to provide deeper insights to decision-makers, enhancing organizational strategy and performance.

55. In Power BI, where is the data stored?

AnsIn Power BI, data storage is primarily in Fact and Dimension tables. Fact tables store quantitative data for analysis, while Dimension tables hold attributes and dimensions related to the data.

56. Describe the data sources that Power BI will connect to.

AnsPower BI connects to diverse data sources, including:

  • HDInsight Interactive Query
  • Azure Data Explorer
  • Azure SQL Data Warehouse
  • Google BigQuery
  • Azure SQL Database
  • Azure HDInsight Spark, among others.

57. Make a distinction between Tableau and Power BI.

AnsKey differences between Tableau and Power BI include:

  • Tableau excels in data visualization, while Power BI focuses on modeling and reporting.
  • Tableau has a higher cost compared to Power BI.
  • Tableau integrates with Python for machine learning, whereas Power BI aligns with Microsoft Azure.
  • Tableau offers customized dashboards, while Power BI is known for its user-friendly interface.
  • Tableau efficiently handles large data volumes, whereas Power BI may slow down with extensive data sets.

Related Article: Tableau Vs Power BI

58. What leads to the advent of Self-service BI over Managed Enterprise BI?

AnsThe shift from Managed Enterprise BI to Self-service BI was driven by challenges in handling vast and complex data sets, difficulties in extracting timely insights, reliance on third-party vendors, and the need for advanced programming skills for report generation. Self-service BI offers solutions to these challenges by efficiently managing data from diverse sources, simplifying data interpretation, reducing dependency on external parties, and enabling easier report creation without complex programming.

59. What do you mean by query collapsing?

Ans: Query collapsing refers to the process of transforming steps in the Power Query Editor into SQL commands, which are then executed in the source system.

60. Is it possible to create multiple dynamic connections between two tables?

Ans: It is not feasible to establish more than one dynamic connection between two tables at a time in Power BI.

61. Is it possible to categorize users in Power BI, and if so, how?

AnsUsers in Power BI can be categorized into distinct roles:

  • Developers: Engaged in creating visualizations and reports.
  • IT Professionals: Focus on security and managing Power BI systems.
  • Business Users: Regular users who interact with and share reports.
  • Analysts: Specialize in creating reports, data models, and insights using Power BI for data analysis and reporting.

62. Is it possible to refresh the published data on the cloud in Power BI?

Ans: Yes, data published on the cloud in Power BI can be refreshed using gateways. For SharePoint, the Data Management Gateway is used, while for powerbi.com, the Power BI Personal Gateway is utilized.

63. State DAX Syntax and explain its parameters.

AnsA typical DAX function syntax is as follows: ProjectSales2019 = SUM (Sales [TotalSales2018]) * 1.08, where 'ProjectSales2019' is the measure name, '=' is the operator, 'SUM' is the DAX function, parentheses enclose arguments, 'Sales' is the table name, 'TotalSales2018' is the column reference, and '*' is a multiplication operator.

64. What is the process of SSRS to integrate with Power BI?

AnsIntegration of SSRS with Power BI involves pinning SSRS items to Power BI dashboards, creating subscriptions for tile refresh, and the upcoming capability to publish Power BI reports to the SSRS portal.

65. Define Power BI Desktop.

Ans: Power BI Desktop is a free, open-source desktop application developed by Microsoft. It enables users to create, visualize, and publish reports quickly. It facilitates the construction of interactive visualizations and allows for the sharing of published reports with others.

66. Define Filters in Power BI and list out the various types of Filters.

AnsFilters in Power BI are logical conditions applied to data rows and columns. Various types include Auto filters, Manual filters, Include/Exclude filters, URL filters, Drill-down filters, Cross Drill filters, Drillthrough filters, and Pass-Through filters.

67. Define Custom Visuals in Power BI.

Ans: Custom Visuals in Power BI are user-created visualizations, added to reports and dashboards after thorough testing and validation. These visuals aid in identifying issues and facilitating quick decision-making.

68. What is the use of a Custom Visual File in Power BI?

Ans: Custom Visual Files in Power BI are used when existing visualizations do not meet specific business needs. These files are typically created by developers and are packaged as custom visualization files for use in Power BI.

69. Define the use of Get Data

Ans: The 'Get Data' feature in Power BI is used to connect to and import data from various sources. This feature supports data in formats like Text/CSV, Excel, XML, JSON, PDF, and more for analysis and visualization.

70. Explain the multiple connectivity modes used in Power BI.

AnsPower BI uses three connectivity modes:

  • Import: Standard mode for data import, offering fast performance.
  • DirectQuery: Connects to specific data sources and imports data with queries.
  • Live Connection: Similar to DirectQuery but does not store data in the Power BI Model, used with specific data sources like SQL Server Analysis Service and Azure Analysis Services.

71. Define Row-level Security in Power BI.

Ans: Row-level Security (RLS) in Power BI limits data view and access for users through filters, simplifying the design and application of security measures.

72. Explain Bi-directional cross-filtering in Power BI.

Ans: Bi-directional cross-filtering in Power BI allows filters to be applied in both directions across table relationships, simplifying complex data modeling without the need for DAX formulas.

73. Define the basic concepts of DAX.

Ans: The fundamental concepts of DAX in Power BI include:

  • Syntax: The structure for writing formulas, consisting of functions like SUM, MAX, MIN.
  • Functions: Similar to Excel functions, these are used for calculations.
  • Context: Includes Row Context and Filter Context, determining how data is filtered and calculated within DAX formulas.

74. List out some frequently used tasks in the Query Editor.

Ans: Common tasks in the Query Editor include connecting to data, shaping data, grouping rows, pivoting columns, creating custom columns, and using query formulas.

75. In Power BI Desktop, define the three Edit interactions possibilities for a visual tile.

Ans: In Power BI Desktop, the edit interactions for a visual tile include:

Filter: Applies filters from one visual tile to another.

Highlight: Highlights related components in a visual tile, greying out unrelated ones.

None: Ignores any filter selections made in another visual tile.

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76. What is meant by Power BI Designer?

Ans: Power BI Designer is a tool in Power BI for creating appealing reports and dashboards, which can be uploaded to Powerbi.com. It includes features like Power Query and Power Pivot for enhanced data manipulation and visualization.

77. Define KPIs in Power BI.

Ans: KPIs (Key Performance Indicators) in Power BI are metrics that measure progress towards goals, enabling comparison of current performance to past data and assessing growth.

78. Which area can we reshape or modify our data in Power BI?

Ans: Data reshaping and modification in Power BI are primarily performed in the Data Editing area.

79. Define the DAX's CALCULATE function.

Ans: The CALCULATE function in DAX is used to compute the sum of a column, allowing modifications through filters.

80. What is the way to present a story in Power BI?

Ans: In Power BI, stories are presented through the Dashboard, where each chart or report is displayed on a single page, providing a consolidated view of the data.

81. List out the various types of Visualizations in Power BI.

Ans: Visualization types in Power BI include Bar Charts, Matrix, Slicers, Column Charts, Maps, Area Charts, Pie & Doughnut Charts, among others.

82. Explain data sources in Power Map.

AnsData in Power Map can be sourced from Excel or external sources. It's essential to format the data correctly, ensuring each row represents a unique record and headings contain text. Power Map uses this structured data for effective geospatial mapping.

83. What is the use of the FILTER function in Power BI?

Ans: The FILTER function in Power BI creates a table that applies a specified condition to each row of a source table. It's typically used in conjunction with other functions and can impact performance with large datasets.

84. Explain the different Data Destinations for Power Queries.

AnsData destinations for Power Queries include loading data into an Excel Data Model or into a Table within an Excel worksheet.

85. Define how to contrast the Power BI report's Target and Actual Values?

Ans: To compare Target and Actual values in Power BI reports, a gauge chart is commonly used, providing a clear visual distinction between the two metrics.

86. Why might you have a table in the model without any relationships to other tables?

AnsA table without relationships in a model can serve various purposes. It can be used to expose parameters, allowing users to interact with data through slicers in DAX metrics. It's also useful for storing UI metrics, independent of other tables, to track interface performance. This approach simplifies the model and enhances its functionality.

87. How do you consolidate inquiries in Power BI?

AnsIn Power BI, inquiries are consolidated using Join Queries. These queries combine data from different tables or sources, facilitating a unified view of the data for analysis and visualization.

88. What happens when you click the Infocus mode of a tile on the Power BI dashboard on the browser?

Ans: Clicking the Infocus mode of a tile on the Power BI dashboard in a browser expands the tile to fill the screen. This mode allows for a detailed view and interaction with the tile's content.

89. What are some common Power Query/Query Editor transforms?

AnsCommon Power Query/Query Editor transforms include filtering, sorting, removing duplicates, splitting columns, merging columns, transforming data types, aggregating data, and adding custom columns. These transforms are crucial for data manipulation and preparation.

90. What are data destinations for Power Queries?

AnsData destinations for Power Queries are locations where transformed data is stored in Excel. They include loading data to a table in a worksheet and loading it to the Excel Data Model. These destinations allow for different ways to analyze and visualize data.

91. What are some of the differences between data modeling between Power BI Desktop and Power Pivot for Excel?

AnsDifferences between data modeling in Power BI Desktop and Power Pivot for Excel include the support for bi-directional cross-filtering in Power BI Desktop and the ability to define security roles. Power Pivot for Excel mainly supports single-direction relationships.

92. How would you create trailing X month metrics via DAX against a non-standard calendar?

AnsCreating trailing X month metrics against a non-standard calendar in DAX involves using functions like CALCULATE, ALL, FILTER, and CONTAINS. These functions help in customizing the evaluation context and date filtering for the metrics.

93. What is the common table function for grouping data?

Ans: The common table function for grouping data is SUMMARIZE() in SSAS and Power BI, used as the main group by function. Another efficient function for grouping is SUMMARIZECOLUMNS.

94. What is special or unique about the CALCULATE and CALCULATETABLE functions?

Ans: The CALCULATE and CALCULATETABLE functions are unique in their ability to modify, add, override, or remove filter contexts in a data model. These functions offer flexibility in data analysis but have limitations with multi-column filtering and metric referencing.

95. What are some ways that Excel experience can be leveraged with Power BI?

Ans: Excel experience can be leveraged in Power BI through features like Power BI Publisher for Excel, connectivity with Power BI Service, using Excel Workbooks for report creation, importing Excel Pivot models, uploading Excel Workbooks in Power BI, and sharing Excel Reports on Power BI Service.

96. What is the prerequisite for connecting to a database in Azure SQL Database?

AnsThe prerequisite for connecting to a database in Azure SQL Database is configuring the firewall settings to permit remote connections.

97. What is z-order in Power BI?

Ans: Z-order in Power BI refers to the arrangement of visuals and elements in a report, controlling the layering order to ensure certain visuals appear in front or behind others. It's useful for organizing multiple elements in a report.

98. What happens when you click on a single data point in one of the multiple visuals in a report?

Ans: Clicking on a single data point in one of the multiple visuals in a report selects the data point, and its data is copied to the clipboard, ready to be pasted elsewhere for analysis or sharing.

99. What gateways are available in Power BI, and why use them?

Ans: Power BI offers Personal Gateway and On-premises Gateway. These gateways facilitate data integration between on-premise data sources and Azure Cloud Services in Power BI, supporting data refresh and real-time access.

100. Is it possible to refresh Power BI Reports after they are published to the cloud?

Ans: Yes, it is indeed possible to refresh Power BI Reports after they have been published to the cloud. In order to accomplish this, you can utilize gateways.

For reports that are hosted on SharePoint, you can employ the Data Management Gateway to refresh the data. This gateway helps establish a connection between the cloud-based Power BI service and the on-premises data source, allowing for data refreshes to occur.

For reports published on powerbi.com, the Power BI Personal Gateway can be used to achieve the same result. This gateway serves as a bridge between the online Power BI service and data sources residing on your local network, facilitating the refreshing of data in the cloud-based reports.

By using these gateways, you can ensure that the data within your Power BI Reports can be refreshed as needed, keeping your reports up to date with the latest information from the on-premises data sources. If you have any further questions or concerns regarding the functionality of Power BI or require assistance, you can always consult the knowledgeable Power BI experts within our Power BI Community. They will be more than happy to provide clarification and resolve any queries you may have.

101. Which In-memory Analytics Engine is used in Power Pivot?

AnsPower Pivot utilizes the xVelocity in-memory analytics engine. xVelocity is intricately designed for handling large datasets efficiently by adopting a columnar storage approach. Its core functionality lies in storing data in RAM, which dramatically enhances processing speeds. This architecture makes xVelocity an exceptional tool for in-memory analytics, offering a high-performance solution for large-scale data processing.

102. What is Power BI Q&A?

Ans: Power BI Q&A is an innovative feature in Power BI, facilitating data interaction through natural language queries. This tool stands as a bridge between complex data sets and users, simplifying data query into a user-friendly experience. Users can type questions in everyday language, and Power BI Q&A translates these into accurate data queries, extracting the required insights. This feature democratizes data analysis, making it accessible beyond the realm of data experts.

103. Is Power BI available on-premises?

AnsPower BI, primarily a cloud-based service, doesn't offer an on-premises deployment. However, it allows secure connectivity with on-premises data sources. While direct hosting on private servers is not an option, integrating and accessing on-premises data within the Power BI environment is feasible, ensuring a blend of cloud advantages and on-premises data utilization.

104. Which language is used in Power Query?

Ans: Power Query employs M-code, a language tailored for data manipulation within Power Query. M-code's design focuses on simplicity and efficiency, making it accessible even for those with basic programming knowledge. Its resemblance to other programming languages further eases the learning curve, allowing a smooth transition for those familiar with other programming paradigms.

105. Can SQL and Power Query/Query Editor be used together?

AnsSQL and Power Query/Query Editor can be integrated for a cohesive data processing experience. This integration allows SQL statements to serve as data sources for Power Query, facilitating direct database queries. Such a blend enhances data retrieval and transformation efficiency, streamlining the data analysis process.

106. What is query folding in Power Query?

AnsQuery folding in Power Query is a process where steps defined for data transformations are converted into SQL queries, executed directly by the source database. This method is crucial for performance optimization, especially in dealing with large data sets, as it leverages the database's processing power for efficient data handling.

107.Can we have more than one active relationship between two tables in Power Pivot Data Model?

Ans: In the Power Pivot Data Model, multiple relationships between two tables are possible, but only one can be active at any given time. This limitation means that while multiple relationships can be established, only one is utilized for data calculations and retrieval in a specific context

108. What is Power Pivot Data Model?

Ans: Power Pivot Data Model is a component of Microsoft Excel that allows users to create and manage relationships between different tables of data. It provides a way to combine data from multiple sources into a single, unified view for analysis and reporting.

In the Power Pivot Data Model, tables are structured with rows and columns, similar to a traditional database. Each table represents a specific set of data, such as sales transactions or customer information. Users can import these tables from various sources, such as Excel spreadsheets, databases, or other external data files.

One of the key features of Power Pivot Data Model is its ability to establish relationships between tables. A relationship defines how the data in one table is related to the data in another table. For example, there may be a relationship between a "Customers" table and an "Orders" table, where each customer can have multiple orders.

These relationships enable users to perform powerful analysis across tables. They can create calculations, such as sums or averages, that aggregate the data from multiple tables based on the defined relationships. Users can also create visualizations, such as charts or pivot tables, that display data from multiple tables in a meaningful way.

However, it is important to note that Power Pivot Data Model allows only one active relationship between any two tables at a given time. While it is possible to establish multiple relationships between two tables, only one of these relationships can be active. This means that when performing calculations or creating visualizations, only the active relationship will be used to determine how the data should be combined.

By utilizing Power Pivot Data Model, users can analyze and report on large volumes of data with greater efficiency and flexibility. It provides a robust solution for managing complex data relationships and enables users to gain valuable insights from their data.

109. What are the different Excel BI add-ins?

Ans: Excel's BI add-ins include Power Query for data integration and transformation, Power Pivot for advanced data modeling, Power View for creating interactive reports, and Power Map for geographical data visualization. These tools collectively enhance Excel's capabilities for comprehensive business intelligence tasks.

110. Which is a single-page canvas that uses visualizations to depict a story?

Ans: The single-page canvas used for storytelling through visualizations in Power BI is known as a "Power BI Dashboard." This feature allows a concise and interactive representation of data, providing a snapshot of key insights.

111. What is the maximum data limit per client for the free version of Power BI?

Ans: The free version of Power BI offers each user 10 GB of cloud storage for their reports, with a limit of 1 GB per individual report size.

112. What are the various types of users who can use Power BI?

Ans: Power BI caters to a diverse range of users, including report consumers, report analysts, self-service data analysts, basic data analysts, and advanced-data analysts. This diversity allows Power BI to serve a broad spectrum of data-related needs across different skill levels.

113. Why and how would you use a custom visual file?

Ans: Custom visual files in Power BI are employed when standard visualizations don't meet specific business requirements. They are crafted through collaboration with developers, tailored to the unique needs of the organization. Custom visuals enhance storytelling with data, offering a unique perspective and better aligning with business objectives. They are integrated into Power BI reports and dashboards, providing a personalized approach to data visualization and analysis.

114. What is a comprehensive working system of Power BI?

Ans: Power BI's comprehensive system encompasses several stages: Data Integration (gathering data from various sources), Data Transformation (standardizing and cleaning data), Data Modeling (establishing relationships and defining calculations), Data Visualization (creating interactive visual elements), and Collaboration and Sharing (facilitating report sharing and teamwork). This end-to-end process in Power BI ensures a holistic approach to data analysis, from collection to actionable insights.

115. What data sources can Power BI connect to?

Ans: Power BI connects to a wide array of data sources, including files (Excel, CSV, etc.), content packs from service providers, and numerous connectors for databases and online services. This flexibility allows Power BI to serve as a versatile tool for data analysis, accommodating various data integration needs.

116. Why should general formatting be applied to data in Power BI?

Ans: Applying general formatting to data in Power BI is essential for data clarity and precision. It includes creating custom columns using specific formulas, which enhance the dataset's analytical value. This customization aids in deeper data analysis and helps users extract more meaningful insights from their data.

117. What is Advanced Editor in Power BI?

Ans: The Advanced Editor in Power BI is a feature that gives users an in-depth view and control over the query code used in the data import process. It is particularly useful for reviewing and customizing the data import and transformation steps, providing a granular view of the underlying processes in Power BI.

118. What do you know about Power BI Query Editor?

Ans: Power BI Query Editor is a tool for data preparation and transformation within Power BI. It includes functionalities for importing data, performing transformations, adding custom columns with DAX formulas, and using various tabs (Home, Transform, Add Column, View) for data manipulation. The Advanced Editor within the Query Editor further enhances its capabilities, allowing for detailed M-code editing.

119. How are relationships defined in Power BI Desktop?

Ans: In Power BI Desktop, relationships are defined either manually through primary and foreign keys or automatically via the autodetect feature. These methods ensure accurate and efficient data analysis and reporting, leveraging relationships to enhance the data model's effectiveness.

120. What is bidirectional cross-filtering in Power BI?

Ans: Bidirectional cross-filtering in Power BI Desktop enables data modelers to manage filter flow in their datasets. This feature simplifies many-to-many relationship handling and enhances the efficiency of data models, making the filtering process more intuitive and powerful.

121. What are the benefits of using variables in DAX?

Ans: Using variables in DAX offers several benefits, including reusability of expressions, improved readability and understandability of code, easier maintenance, and simplified debugging. Variables enhance the efficiency and clarity of DAX expressions, making them more manageable and effective in data analysis.

122. What is DAX?

Ans: DAX (Data Analysis Expressions) is a formula language used in Power Pivot for data analysis and manipulation. It enables users to create calculated columns and measures, providing a flexible and powerful tool for extracting insights from data. DAX focuses on calculations and aggregations, rather than data insertion or modification.

123. What are content packs?

Ans: Content packs in Power BI are pre-assembled collections of reports, dashboards, and datasets. They simplify data sharing within an organization, enabling users to access and utilize a set of predefined insights and visualizations. Content packs can be tailored for specific groups or the entire organization, ensuring controlled and secure data sharing. Additionally, users can create new dashboards based on these packs, allowing for customized analysis and reporting.

124. Where is data stored in Power BI?

Ans: In Power BI, data is stored in two primary table types: Fact and Dimension tables. Fact tables store quantitative data for analysis and are typically not normalized, while Dimension tables contain descriptive attributes related to the data in Fact tables. This combination of tables provides a structured framework for storing and analyzing data efficiently in Power BI.

125. How do you create a group in Power BI?

Ans: Creating a group in Power BI involves selecting fields, right-clicking to access the context menu, and choosing the "Group" option. This groups the selected items, which can be renamed and managed within the Fields pane. Additional fields can be added to the group by dragging and dropping, offering an organized way to handle grouped data.

126. How to perform query tasks on the Power BI desktop?

Ans: Query tasks in Power BI Desktop are executed using the Power Query editor. This involves opening the editor, connecting to data sources, applying transformations, and finalizing the changes to the data model. The Power Query editor's interface, along with the ability to view and edit the M-code, offers a robust environment for data manipulation and preparation.

127. What is Power View?

Ans: Power View is a data visualization technology in Power BI that enables dynamic and interactive data presentations. Integrated into various Microsoft platforms, it allows users to transform data into engaging visualizations like charts, graphs, and maps, enhancing data understanding and analysis.

128. What is Power Query?

Ans: Power Query is a versatile ETL tool within Power BI, designed for data shaping and cleaning. It facilitates importing data from diverse sources and offers functionalities for merging, shaping, and refining data. Power Query's user-friendly interface simplifies data manipulation, making it accessible for comprehensive data analysis and preparation.

129. What is Power Pivot?

Ans: Power Pivot is an Excel add-in designed for data analysis and modeling. It enables users to import and handle large volumes of data, create calculated columns and measures, and establish data relationships. Power Pivot's capabilities enhance Excel's data handling efficiency, making it a powerful tool for data analysis.

130. How can you refresh data in Power BI?

Ans: Refreshing data in Power BI involves using the Gateway feature to connect to data sources and scheduling data refreshes. This setup allows Power BI to maintain up-to-date reports and dashboards with the latest data from various sources, supporting real-time analysis and decision-making.

131. What do you understand by Power BI services?

Ans: Power BI Services is a cloud-based platform offering a suite of services for data analysis, visualization, and sharing. It facilitates data access, report generation, and collaborative sharing, enabling users to derive and communicate insights efficiently and effectively.

132. Is Power BI an effective solution?

Ans: Power BI is a highly effective solution for data-driven decision-making. Its intuitive interface, robust analytics capabilities, and ability to process large datasets make it a valuable tool for businesses. Additionally, its integration with various platforms and sharing functionalities position it as a versatile and powerful tool for business intelligence.

133. What are the parts of Microsoft's self-service business intelligence solution?

Ans: Microsoft's self-service business intelligence solution comprises the Excel BI Toolkit and Power BI. The Excel BI Toolkit allows users to create reports and analyze data, while Power BI facilitates the sharing of these interactive reports across the organization.

134. What are custom visualizations?

Ans: Custom visualizations in Power BI are personalized visual representations of data created using the Power BI services. These are developed in a .pbiviz file format and are designed to meet specific visual and analytical needs, enhancing the data presentation and storytelling capabilities in Power BI.

135. What are formats in Power BI?

Ans: Formats in Power BI include Power BI Desktop (for data connection, transformation, and analysis), Power BI Services (for cloud-based collaborative functionalities), and the Power BI Mobile App (for mobile access to reports and dashboards). These formats provide flexibility and access across different platforms and devices.

136. What is a Power BI Dashboard?

Ans: A Power BI Dashboard is a single-page interface that uses visualizations to provide a concise and interactive overview of key insights from data. It enables users to create and explore data stories in an engaging and accessible format, enhancing data comprehension and decision-making.

137. What are the building blocks of Power BI?

Ans: Power BI, a dynamic and comprehensive tool for data visualization and business intelligence, is built upon several foundational elements essential for crafting insightful reports and interactive dashboards:

Visualizations: Power BI offers a spectrum of visualization options, including line and bar graphs, pie and donut charts, maps, and more. These tools transform raw data into easily interpretable visual formats, aiding in data comprehension and analysis.

Datasets: The backbone of Power BI, datasets are aggregated data collections from diverse sources like Excel, CSV files, SQL databases, and others. Power BI's functionality to connect, modify, and integrate data from these varied sources into a unified dataset is pivotal for comprehensive reporting.

Reports: Reports in Power BI are consolidated visualizations arranged on one or several pages. They provide an extensive overview of data, offering insights into key business metrics and trends. Users can enhance reports with interactive elements for deeper data exploration.

Dashboards: Dashboards are single-page presentations showcasing multiple visualizations. They offer a snapshot of crucial metrics and KPIs, aiding in quick data assessment. Power BI's dashboards are interactive and accessible across different devices.

Tiles: These are the individual visual components within a dashboard or report, representing specific data points or metrics. Users can customize the arrangement of tiles for effective data presentation.

138. What are the advantages of using Power BI?

Ans: Power BI stands out for its robust ETL capabilities, customizable visualizations, natural language querying, user-friendly interface, and cost-effective scalability. It simplifies data extraction, transformation, loading processes, and allows for tailored visual representation of data. Its natural language processing facilitates easy data querying, and its intuitive design is accessible to a wide range of users. Power BI's pricing model makes it a viable option for various business sizes.

139. What are the essential applications of Power BI?

Ans: Power BI's applications span across project management, business and data analysis, database administration, IT, and consumer reporting. It enables project managers to track performance, allows analysts to process large data sets, aids database administrators in managing resources, supports IT professionals in monitoring systems, and helps businesses in creating consumer-focused reports.

140. What are the major differences between Power BI and Tableau?

Ans: Key distinctions between Power BI and Tableau include their data handling capabilities, user interface design, report embedding processes, and formula creation languages. Power BI is more suited for smaller datasets and offers an easy-to-use interface, while Tableau excels with large datasets and has a more complex interface. Embedding reports is simpler in Power BI, and the tools use different languages for calculations, with Power BI using DAX and Tableau using MDX.

141. What are the key differences between MSBI and Power BI?

Ans: MSBI and Power BI differ in their data integration, handling capabilities, and overall functionality. MSBI is adept at handling large datasets and focuses on visualization and report creation, while Power BI is more versatile, enabling data model creation, interactive dashboards, and accessing data from both on-premise and cloud storage.

142. How is Power BI different from other BI tools?

Ans: Power BI distinguishes itself with advanced features, a user-friendly interface, seamless integration with Microsoft products, and a generous free version. Its capabilities include natural language data querying and real-time data streaming, making it a robust tool for data visualization and business intelligence.

143. How can we filter data in Power BI?

Ans: Power BI offers various filtering methods including page-level, visual-level, and report-level filters, along with slicers, drillthrough filters, and cross-filtering. These tools allow users to refine their data analysis and focus on specific criteria or conditions for a more effective data examination.

144. What is the purpose of the

Ans: The "Get Data" feature in Power BI facilitates the importation of data from a plethora of sources into Power BI projects. It supports a wide range of file formats and databases, enabling users to extract and utilize data efficiently for their analytical needs.

145. What is Power BI Desktop?

Ans: Power BI Desktop is a standalone application for Windows that enables users to create, design, and publish reports to the cloud. It operates both online and offline, offering a primary platform for individuals to leverage Power BI's functionalities for data visualization and reporting.

146. What are the versions of Power BI?

Ans: Power BI comes in three versions: Power BI Free/Desktop for basic visualization tasks, Power BI Pro for enhanced reporting and sharing capabilities, and Power BI Premium for large-scale enterprise use with extensive data processing needs.

147. Is Power BI free to use?

Ans: Power BI offers a free version with significant functionalities for data analysis and visualization. For advanced features, a paid Power BI Pro subscription is available, catering to more extensive data analysis and collaboration needs.

148. Why are you interested in Power BI? What makes you think that Power BI would be a great career option?

Ans: My interest in Power BI stems from its robust data reporting and visualization capabilities, coupled with its growing demand in the business world. Power BI's ability to generate insightful reports and ease of sharing makes it an attractive tool in the corporate sector, indicating strong career potential in this field.

149. What exactly is Self-service BI?

Ans: Self-service BI enables users to independently conduct data analysis and reporting without extensive technical skills. It primarily utilizes the Excel BI toolkit and Power BI, allowing for easy data manipulation and visualization.

150. What is the difference between Managed Enterprise BI and Self-service BI?

Ans: Managed Enterprise BI and Self-service BI differ in their approach to data handling, analysis capabilities, reliance on external vendors, and technical skill requirements. While Managed Enterprise BI often struggles with data organization and analysis, Self-service BI offers a more streamlined, user-friendly approach, reducing the need for external support and complex skills.

151. Why use Power BI?

Ans: Power BI is a valuable tool for businesses, offering intuitive data connection and visualization, real-time analysis, cloud-based sharing, AI-enhanced features, and a user-friendly interface. It facilitates effective data-driven decision-making and is particularly cost-effective for small businesses.

152. What is Power BI?

Ans: Power BI is a suite of Business Intelligence tools that facilitate the extraction of insights from raw data. It enables users to create interactive dashboards and reports, offering a comprehensive platform for data analysis and visualization.

153. What are the categories of other related interview questions?

Ans: Other related interview question categories include Automation, Big Data, Business Intelligence, Cloud Computing, SAAS, Cyber Security, Data Science, Database, Digital Marketing, Electric Vehicle, Investment Banking, Mobile Development, No-SQL, Programming, Project Management, Salesforce, and Testing.

154. What are some frequently asked Power BI interview questions?

Ans: Frequently asked Power BI interview questions cover a range of topics including the basics of Power BI, data source connections, visualization types, calculated columns, data cleansing, relationships, performance optimization, security, and sharing of reports and dashboards.

155. What is the demand for Power BI professionals?

Ans: The demand for Power BI professionals is increasing as more companies recognize the importance of data visualization and reporting. This trend is creating more job opportunities for individuals skilled in Power BI.

156. What are some examples of Power BI jobs?

Ans: Power BI-related jobs include roles such as Power BI Developer, Business Intelligence Analyst, Data Analyst, Data Visualization Specialist, and BI Consultant. These positions involve the use of Power BI for data analysis, dashboard design, and reporting.

157. What are the differences between a Power BI dataset, a Report, and a Dashboard?

Ans: Power BI's key components include visualizations, datasets, reports, dashboards, and tiles. Visualizations present data graphically, datasets are collections of data, reports compile visualizations, dashboards provide a snapshot view of metrics, and tiles are individual visual elements in dashboards or reports.

158. What is the CALCULATE function in DAX?

Ans: The CALCULATE function in DAX is used for creating complex calculations in Power BI. It evaluates expressions within the context of modified filters. The function syntax includes an expression and filter parameters.

159. How is the FILTER function used?

Ans: The FILTER function in Power BI enables users to apply specific conditions to rows in a source table, creating a new filtered table. This function can be complex and may impact performance with large datasets.

160. How can geographic data be mapped into Power BI Reports?

Ans: Geographic data in Power BI is mapped using map charts and filled map charts. Power BI integrates with Bing Maps for geocoding, automatically determining coordinates for locations.

161. What are the data sources for Power Map?

Ans: Power Map in Power BI can use data from Excel or external sources. Data should be organized in an Excel table format, with meaningful headings for accurate geographic plotting.

162. What are the primary requirements for a table to be used in Power Map?

Ans: A table used in Power Map should contain unique rows and location data such as latitude/longitude pairs or address fields, enabling accurate mapping in the Power Map visualization.

About Author

As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.

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