Microsoft Power BI helps businesses turn data into useful insights. Power BI practitioners are in demand as more companies use it. Power BI job interviews require preparation. We’ve gathered the 73 most common Power BI interview questions for 2021 to help you prepare. This article covers Power BI basics, DAX, report design, data modeling, and more. This comprehensive collection of questions will help you prepare for your next power bi interview questions, whether you’re a beginner or an expert. These questions will help you assess your Power BI expertise and find areas for improvement, whether you’re a novice or an experienced data analyst.
Introduction to Power BI
Microsoft Power BI provides corporate insight and data visualization. It connects, transforms, and visualizes data from Excel, SQL Server, Salesforce, and Google Analytics. Users can combine data from multiple sources in Power BI. Power BI lets you customize charts, tables, and maps. Power Query, a powerful data transformation tool in Power BI, allows users to modify and visualize data from many sources. This utility joins, cleans, formats, calculates, and aggregates data. Power Pivot lets users create pivot tables and pivot charts to analyze enormous volumes of data and find patterns and trends.
Power View in Power BI lets users create interactive data visualizations for websites, apps, and other platforms. Businesses, organizations, and individuals utilize Power BI to analyze data and make data-driven choices. It creates interactive dashboards, reports, and visualizations that can be shared and disseminated across several platforms and devices.
What’s Power BI?
Microsoft Power BI provides corporate insight and data visualization. Users can connect to data sources, convert and clean them, generate visualizations and reports, and share them. Microsoft Power Platform includes Power BI. It creates interactive dashboards, charts, and reports to help people understand their data.
Why Power BI?
Power BI lets users connect to several data sources, produce interactive reports and dashboards, and share them. Power BI can: Connect to Excel, SQL Server, Azure, and Google Analytics. Create and publish non-technical interactive reports and dashboards. Share reports and dashboards to collaborate.Query data using natural language. Make mobile-friendly reports easily. Power BI aids enterprises in data analysis and stakeholder communication.
Power BI vs. Tableau
Tableau and Power BI are data visualization and business intelligence products, but they differ. Microsoft’s Power BI integrates more with Excel and SQL Server. Tableau is a standalone product that connects to many data sources. Power BI is more user-friendly and better for small-to-medium-sized firms, whereas Tableau is more powerful and better for larger organizations with more sophisticated data demands. Tableau has the mapping and data mixing, but Power BI has better data modeling.
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Power Query vs. Power Pivot
Excel tools Power Query and Power Pivot transform and analyze data. Power Query retrieves and transforms data from databases, text files, and websites. Power Pivot creates pivot tables, pivot charts, and data table linkages. Create calculated columns and metrics for sophisticated data analysis.
Power Pivot analyzes data prepared by Power Query.
Power BI Desktop?
Microsoft Power BI Desktop visualizes and analyzes data. Users can connect to data sources, modify and clean them, produce reports and dashboards, and share them. It creates interactive visualizations, charts, and reports for non-technical people. BI Desktop helps businesses of all sizes analyze data and make decisions.
Power Pivot?
Pivot is an Excel add-in for advanced data analysis and modeling. It lets users connect to several data sources, defines associations, and construct pivot tables and visualizations. Pivot’s DAX formula language offers complex data calculations and aggregations. lets users examine massive datasets and create more dynamic reports than Excel.
Query?
The query is an Excel add-in and standalone data manipulation tool. It lets users connect to several data sources, transform and shape data, and put it into a worksheet or Excel data model for analysis. Power Query publishes data models to Power BI for dashboards and reports.
DAX?
Microsoft Excel and Power BI employ DAX to generate custom calculations and aggregations for data modeling and reporting. It works like Excel formulas but aggregates relational data dynamically. DAX may produce calculated tables, columns, and measurements for data analysis.
Power BI Filters?
Power BI filters limit data in visuals and reports. They can include or exclude values from one or more columns in a dataset. Power BI has a basic, relative date, and sophisticated filters. Filters can be applied to a graphic, page, or report and combined to create more complicated filtering conditions. They help narrow data and compare data.
Power BI Custom Visuals?
Power BI custom visuals boost data representation. They can be downloaded from Power BI Marketplace by third-party developers. Gantt charts, sunburst diagrams, and heat maps are custom visuals. These interactive visualizations can help users comprehend and analyze their data.
Power BI GetData?
GetData in Power BI connects to and retrieves data from databases, files, and web services. Users may aggregate, manipulate, and clean data to produce Power BI visualizations, reports, and dashboards. Power BI can visualize and report on imported or connected data.
Name Power BI’s connectivity modes.
Power BI has multiple connectivity modes:
DirectQuery: Allows direct data source queries.
Live Connection: Real-time data refresh and connection to data sources.
Import: Creates a static copy of data in Power BI.
Composite Models: Combines data from different sources and creates relationships.
Power BI Dataflow: Creates reusable, controlled data pipelines for Power BI and other applications.
Power BI lets you generate and browse paginated reports.
What Power BI refresh options are available?
Power BI has numerous data refresh options: Manual refresh: Clicking “Refresh” refreshes report data. Automatic refresh: You can schedule report data refreshes.Data streaming: Connect to a streaming data source or use the Power BI API to feed real-time data into your report.One-time refresh: Refreshes all report data.Incremental refresh: Refreshes only updated data since the last refresh. Some data sources offer this option.DirectQuery: Instead of loading data into Power BI, you can query the data source directly.Live connection: Allows you to examine a report prepared in another service (like Analysis Services or Power BI Report Server) in Power BI without importing the data.Power Automate: Refreshes a dataset using a flow. Based on the data source, size, and frequency, you can choose a refresh option.
What data sources can Power BI access?
Excel files are among Power BI’s data sources.MSSQL databasesUse databasesOracle databasesMySQL databases PostgreSQL databasesDatabase 2Teradata databasesHANA databases listsOData feedsWeb pagesJSON files CSV filesSharePoint OnlineGoogle AnalyticsSalesforceDynamics 365Azure SQLDBAzure Data Lake StorageAzure Data Explorer.Azure Synapse AnalyticsAzure AnalyticsAzure Blob Storage, etc.
What’s Power BI’s dashboard?
Power BI dashboards contain visualizations, charts, and other data representations for analysis and monitoring. It lets users quickly access crucial metrics and insights and collaborate and make decisions. Dashboards can be configured to present user-relevant data from many sources.
What are Power BI Desktop relationships?
Relationships between data model tables in Power BI Desktop link their data. This lets you visualize or report data from many tables. Linking one or more columns in the “primary” table to one or more columns in the “related” table defines a relationship. “Keys” are relationship-defining columns. The “primary key” in the primary table is different from the “foreign key” in the related table. “Manage relationships” in Power BI Desktop’s “Home” ribbon lets you link tables.
