Power BI is an analytical and business intelligence platform developed by Microsoft. Expert Power BI users are in high demand as the software gains popularity among enterprises. Successfully answering power bi interview questions requires extensive preparation. Here is a list of the 73 most frequently asked questions for power bi interview questions, compiled to help you ace your upcoming interview.
Learn about the foundations of Power BI, DAX, report building, data modeling, and more. This collection of power b interview questions can be helpful whether you’re just starting or have years of expertise under your belt. Whether you’re brand new to Power BI or have been using it for years, you’ll be able to utilize these questions to gauge your proficiency and pinpoint areas for improvement.
Introduction to Power BI
Microsoft Power BI provides business analytics and data visualization. This software allows you to combine, transform, and visualize information from Excel, SQL Server, Salesforce, and Google Analytics. Users of Power BI have the option of combining data from several different sources. Graphs, tables, and maps may all be customized with Power BI. If you need to edit or visualize data from several sources, go no further than Power Query in Power BI. With the assistance of this program, data can be merged, cleaned, formatted, computed, and totaled. To analyze large datasets and find patterns, Power Pivot users can create pivot tables and pivot charts.
Power View in Power BI lets users create interactive data visualizations for web, mobile, and other digital platforms. Power BI helps businesses, organizations, and people examine data and develop conclusions. You may create dynamic dashboards, reports, and visualizations that are compatible with a wide range of platforms and devices.
Explaining Power BI.
Power BI is Microsoft’s business analytics and visualization tool. Data can be imported from many sources, cleaned, charted, and shared. Microsoft’s Power Platform houses Power BI. Dashboards, charts, and reports help interpret data.
Power BI’s advantages.
It allows you to connect to many data sources, build interactive reports and dashboards, and share your work with others. Power BI allows you to integrate with Excel, SQL Server, Azure, and Google Analytics. Create and share interesting, user-interactive reports and dashboards with the public. Collaborate by exchanging information and monitoring screens. Data searching and querying using natural language. Producing reports is a breeze, even on the go. Power BI is useful for businesses because it helps them analyze data and share that analysis with their stakeholders.
In comparison to Tableau and Power BI
The data visualization and analysis capabilities of Tableau and Microsoft’s Power BI are similar but not identical. Microsoft’s Power BI is better integrated with Excel and SQL Server. Tableau is a standalone tool that can connect to numerous data sources. Tableau excels in handling complicated data for large corporations, whereas Power BI is easier to use and better suited for small and medium-sized businesses. While Power BI is more adept at data modeling, Tableau is more adept at data mapping and blending.
Putting Power Query and Power Pivot Side by Side
Excel’s Instruments Power Query and Power Pivot can be used to manipulate and examine data. Data from databases, text files, and web pages are just some of the formats that Power Query can read and convert. Pivot tables, pivot charts, and the linking of data tables are all made simple with Power Pivot. For a more in-depth examination of your data, utilize computed columns and metrics.
To get ready for Power Pivot analysis, you can use Power Query.
Localized Power BI?
Data visualization and analysis software developed by Microsoft. Users can combine data from multiple sources, modify and clean the data, and create and share reports and dashboards. Even users without technical training can make interesting charts, graphs, and reports with this software. BI Desktop facilitates data analysis and decision-making for businesses of all sizes.
Turning Point?
Excel add-in Pivot models and analyzes data. Users may join disparate data sets, construct hierarchies, and build charts and pivot tables with ease. Pivot’s DAX formula language summarizes and calculates complex data. offers huge dataset analysis and more engaging results than Excel.
Query?
The query can be used as a standalone data manipulation tool or as an Excel add-in. Excel allows users to import data from many different sources, alter it, and then save the results to a data model or a spreadsheet. Power BI’s dashboards and reports can use Power Query’s data models.
DAX?
Microsoft Excel and Power BI rely on a language called Data Analysis Expressions (DAX) to generate one-of-a-kind calculations and summaries used in data modeling and reporting. Like Excel formulas, it can instantly collect relational data. Calculated columns, tables, and metrics can be produced with ease using data analysis tools like DAX.
Power BI Filters?
Dashboards and reports can be masked from view using Power BI filters. They have the option to include or exclude data from certain columns in a dataset. There are basic, relative, and sophisticated filters available in Power BI. Complex criteria can be applied to images, pages, and reports by combining many filters. When comparing and sifting through information, they come in handy.
Power BI Data Visualization?
Power BI allows you to customize your data visualizations. They are available for download from the Power BI Marketplace for use by external programmers. Gantt charts, sunburst diagrams, and heat maps are just some of the customizable visuals available. These dynamic visualizations benefit users in comprehending and assessing data.
Collective power GetData?
Power BI’s GetData feature allows users to access data from various locations, such as databases, files, and web services. With Power BI, users can aggregate, manipulate, and clean data to generate visualizations, reports, and dashboards. Power BI allows users to see and generate reports based on imported or connected data.
Provide a rundown of Power BI’s various connection options.
Power BI allows for multiple integrations, such as:
A request is sent right to the database server.
Real-time integration: connecting to and updating data sources online as they happen.
Power BI’s import feature creates an immutable replica of the data.
Composite models draw on data from various sources to develop relationships between variables.
Power BI Dataflow enables users to create reusable, regulated data pipelines for consumption within Power BI and beyond.
Power BI allows you to make and browse reports with pages.
What different kinds of Power BI revisions are available?
Power BI provides several options for modifying data. The “Refresh” button allows users to manually refresh report data. Automatically updated reports at predetermined intervals. Connect to a streaming data source or utilize the Power BI API to include up-to-the-minute data in your report. With only one click, you may refresh the data in every report. Incremental refreshes only update changed or added database portions. A select number of data sources offer this option. With DirectQuery, you can ask questions about the source database without importing it into Power BI first. You can view a report made in another service (like Analysis Services or Power BI Report Server) in Power BI without having to import the data. Refreshing the Power Automation Data Flow. Select a data refresh strategy that makes sense given the data’s history, size, and rate of change.
How do you import information into Power BI?
SQL Server-based databases, developed by Microsoft. Check MySQL and PostgreSQL tables using Oracle database software to find pertinent data. Catalogs of HANAO databases containing two terabytes of data Source data sets presented as JSON documents CSV-formatted databasesGoogle Analytical Tools Web-Based SharePoint StatisticsAnalytics for Salesforce 365SQL Database on AzureAzure Data LakeStorage in the Azure Data LakeExplorer. Cloud-based analytics for synapses, blob storage in Azure, etc.
Please explain the Power BI user interface.
Power BI dashboards include visuals like charts and graphs to make it easier to analyze and keep tabs on data. Critical metrics and insights are readily available to users, easing teamwork and decision-making.
What precisely are “connections” in Power BI Desktop?
Data model tables in Power BI Desktop can have relationships between them. A single chart or report can contain information from numerous tables. Creating a link between primary table columns and associated table columns. “Keys” are the columns in a database that specify the relationships between other tables. “Primary key” and “foreign key” serve different purposes. Select “Manage relationships” from the “Home” ribbon in Power BI Desktop to begin linking tables together.
DAX?
Microsoft Excel and Power BI rely on a language called Data Analysis Expressions (DAX) to generate one-of-a-kind calculations and summaries used in data modeling and reporting. Like Excel formulas, it can instantly collect relational data. Calculated columns, tables, and metrics can be produced with ease using data analysis tools like DAX.
Power BI Filters?
Dashboards and reports can be masked from view using Power BI filters. They have the option to include or exclude data from certain columns in a dataset. There are basic, relative, and sophisticated filters available in Power BI. Complex criteria can be applied to images, pages, and reports by combining many filters. When comparing and sifting through information, they come in handy.
Power BI Data Visualization?
Power BI allows you to customize your data visualizations. They are available for download from the Power BI Marketplace for use by external programmers. Gantt charts, sunburst diagrams, and heat maps are just some of the customizable visuals available. These dynamic visualizations benefit users in comprehending and assessing data.
Collective power GetData?
Power BI’s GetData feature allows users to access data from various locations, such as databases, files, and web services. With Power BI, users can aggregate, manipulate, and clean data to generate visualizations, reports, and dashboards. Power BI allows users to see and generate reports based on imported or connected data.
Provide a rundown of Power BI’s various connection options.
Power BI allows for multiple integrations, such as:
A request is sent right to the database server.
Real-time integration: connecting to and updating data sources online as they happen.
Power BI’s import feature creates an immutable replica of the data.
Composite models draw on data from various sources to develop relationships between variables.
Power BI Dataflow enables users to create reusable, regulated data pipelines for consumption within Power BI and beyond.
Power BI allows you to make and browse reports with pages.
What different kinds of Power BI revisions are available?
Power BI provides several options for modifying data. The “Refresh” button allows users to manually refresh report data. Automatically updated reports at predetermined intervals. Connect to a streaming data source or utilize the Power BI API to include up-to-the-minute data in your report. With only one click, you may refresh the data in every report. Incremental refreshes only update changed or added database portions. A select number of data sources offer this option. With DirectQuery, you can ask questions about the source database without importing it into Power BI first. You can view a report made in another service (like Analysis Services or Power BI Report Server) in Power BI without having to import the data. Refreshing the Power Automation Data Flow. Select a data refresh strategy that makes sense given the data’s history, size, and rate of change.
How do you import information into Power BI?
SQL Server-based databases, developed by Microsoft. Check MySQL and PostgreSQL tables using Oracle database software to find pertinent data. Catalogs of HANAO databases containing two terabytes of data Source data sets presented as JSON documents CSV-formatted databasesGoogle Analytical Tools Web-Based SharePoint StatisticsAnalytics for Salesforce 365SQL Database on AzureAzure Data LakeStorage in the Azure Data LakeExplorer. Cloud-based analytics for synapses, blob storage in Azure, etc.
Please explain the Power BI user interface.
Power BI dashboards include visuals like charts and graphs to make it easier to analyze and keep tabs on data. Critical metrics and insights are readily available to users, easing teamwork and decision-making.
What precisely are “connections” in Power BI Desktop?
Data model tables in Power BI Desktop can have relationships between them. A single chart or report can contain information from numerous tables. Creating a link between primary table columns and associated table columns. “Keys” are the columns in a database that specify the relationships between other tables. “Primary key” and “foreign key” serve different purposes. Select “Manage relationships” from the “Home” ribbon in Power BI Desktop to begin linking tables together.
