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Business intelligence has evolved the decision-making process of all companies that help them make the best actions for a bright future for the company. Among all business intelligence tools, Power BI has emerged as one of the most important tools for business development and management. Hence, most companies are looking for skilled Power BI professionals who can utilize these technologies and yield the best possible results for the company. Due to this very reason, among all the business intelligence careers, Power BI is the most in-demand among major industries. So, to ace the ongoing tech trend, and create a successful career in the business intelligence domain, aspirants need to thoroughly prepare Power BI interview questions so that they have all the knowledge in their possession to impress the employers. So, here we have listed some of the most-asked Power BI interview questions and the answers that you need to know to land a business intelligence job in 2022.
Power BI is a strong business analytics process that creates useful insights and reports by collating data from unrelated sources. This data can be withdrawn from any source like Microsoft Excel or other hybrid data warehouses. Power BI would prove to be an effective business solution because it has the capability to drive an extreme level of utility and purposes using an interactive graphical interface and visualizations.
Power BI Desktop is an open-source application designated and developed by Microsoft. Power BI Desktop allows its users to connect to, transform, and visualize data with ease. It also enables users to build visuals and collect visuals that can be shared as reports with colleagues or the clients of the organization.
Self-service business intelligence has been one of the major breakthroughs in the business intelligence domain. It has enabled many business professionals with no technical or coding background to use Power BI and generate reports and draw predictions successfully. In fact, non-technical professionals can easily use self-service business intelligence systems to help their businesses make more informed decisions.
Content packs are packages comprising different Power BI objects such as reports, dashboards, datasets, and others. There are two different types of content packs, i.e., service provider content packs and user-created content packs. Service providers such as Google Analytics, Salesforce, and others provide pre-built content packages, whereas, the latter can create content packages and share them with the organization's professionals.
Data analysis expression (DAX) is a library of formulas that are used for calculations and data analysis. This library comprises functions, constants, and operators to perform calculations and yield perfect results. DAX enables business intelligence professionals to use the datasets to their full potential and provide insightful reports. Essentially, it is a functional language containing statements, nested functions, and much more.
Power BI is a collection of business intelligence tools and techniques that allows the user to create dashboards and reports by transforming the raw business data into visually interactive charts, maps, and graphs. Whereas, MSBI is used to integrate the processing components and processing interfaces to test and share the reports over various devices.
Bidirectional cross-filtering in Power BI Desktop allows data modelers to determine how they wish the filters to flow for data using relationships between tables. With bidirectional cross-filtering, the filter context is propagated to a second related table on the other side of a table relationship.
Row-level security limits the data a user can view and also sets access to, and rely on the filters. Users can define the rules and roles in Power BI Desktop and publish them to the Power BI service to configure row-level security.
Professionals will use a custom visual file if the pre-packaged files do not fit the needs of the business. Developers create custom visual files that users can import and use in the same way as they would the pre-packaged files.
A developer can resize a responsive slicer to various sizes and shapes, and then the data collected in the container will be rearranged to find a match. If a visual report becomes too small to be useful, an icon representing the visual replaces it, saving space on the report page.
