Many top organizations today rely on Microsoft Power BI to get better business insights. Also, Microsoft Power BI has earned its place in Gartner’s 2015 Magic Quadrant as a leader in analytics and business intelligence platforms.
Moreover, according to Polaris Market Research, the Business Intelligence market is projected to reach 78.89 billion USD globally in 2034. These insights prove that learning Power BI is worthwhile.
These insights prove that learning Power BI is worthwhile. Learning these Power BI interview questions will help you crack Power BI interviews and help you build a promising career in the data analytics and visualization domain.
Let’s get started!
Table of Contents
Let's start with some commonly asked Power BI interview questions and answers for beginners.
Power BI is a Business Analytics solution from Microsoft that helps you visualize business data from hundreds of data sources and share insights across your organization. It is a cloud-based Self-Service BI tool that includes applications, connectors, and software services for organizing raw data into informative content.
The most prominent uses of Power BI are:
| Managed Enterprise BI | Self-Service BI |
| Here, data flows from many sources, and there is no order to how companies ingest and manage it. | Enables companies to ingest data seamlessly from any data source. |
| There are time constraints and insufficient information when analyzing data. | Analyzing data is easy. |
| Complex programming skills are required to generate reports. | Users could generate actionable, intuitive dashboards almost instantaneously without writing complex code. |
| Companies are unable to run their operations effectively because they cannot report on, analyze, and derive valuable insights from data. | With data ingestion falling into order, companies can process data and conduct business operations with ease. |
The primary purpose of Power BI is to scale business growth by putting information together more efficiently. It brings your company data to the forefront in a seamless, comprehensive interface. Employees and team members come forward in a streamlined fashion with access to identical information translated into simplified reports, charts, diagrams, and more. Power BI improves your operational efficiency.
The building blocks of Power BI are:





These are various Power BI components.



When users in Power BI click the “Get Data” icon, a drop-down menu displays all available data sources. Data can be directly ingested from sources such as Excel, XML, PDF, JSON, CSV, and SharePoint folder databases and formats such as SQL, SQL Server Analysis Services, IBM, Access, Oracle, MySQL, and much more.

As the name suggests, relationships in Power BI define connections between two or more tables. To analyze multiple tables, relationships are used.

To create and manage relationships in Power BI Desktop:
| Parameter | Power BI | Excel |
| Tabular reports | Power BI is not so handy for tabular-style reports | Excel is better at handling tabular-style reports. |
| Duplicate Table | Cannot display duplicated tables | Allows the display of duplicated tables |
| Reports | Offers beautiful, personalized, and interactive reports | Doesn’t offer advanced cross-filtering between charts. |
| Cross filtering | Offers advanced features in cross-filtering between charts. | Doesn’t offer advanced cross-filtering between charts. |
| Analytics | Offers simple analytics | Offers high-level analytics |
| Applications | Ideal for dashboards, KPIs, alerts, and visualizations, including analysing your data visually. | Excel does have some new charts now, and they can’t connect to the data model. |
Power View can be used to download data to Excel and perform useful transformations.
Example: Filter, merge multiple sources, calculate, etc.
Power View enables you to present the data in reports.

The Power BI Personal Gateway is used for reports deployed in Power BI. On the other hand, Data Management is an app that installs a gateway on source data machines to deploy reports to SharePoint and schedule automatic refreshes.

DAX stands for Data Analysis Expressions. It is a collection of operators, functions, and constants used to calculate formulas and return values. In other words, it helps you create new info from data you already have.
The SUM function (Sum()) aggregates the data columns, but the SUMX function (SumX()) lets you filter the data you are adding.
SUMX(Table, Expression), where the table contains the rows for calculation. Expression is a calculation evaluated on each row of the table.
Power BI is a business intelligence and Analytics tool for non-technical and technical users to manage, analyze, visualize and share data with others. One of its key features is visualization - that is, presenting data and insights using appealing visuals. Among the visuals available in Power BI are maps.
There are 4 types of core or built-in map visuals:
Power BI utilizes two built-in map charts: a map and a filled map. A filled map shows data points with geospatial areas rather than points on a map. Areas can be continents, countries, states, or cities. Working with a filled map, however, is not as easy or as convenient as working with a map chart.
The Power BI data sources are extensive and are divided as follows:
Files: Data can be imported from Power BI Desktop files (.pbix), Excel (.xlsx, xlsx), and Comma-Separated Values (.csv).
Content Packs: A collection of related files or documents stored together. There are two types of content packs in Power BI: those from service providers, such as Google Analytics, Salesforce, or Marketo, and those created and shared by other users within the organization.
Connectors: To connect to databases and other datasets, including Azure SQL Database, Azure SQL Data Warehouse, and SQL Server Analysis Services tabular data.
| Check out Top Power BI Projects Ideas For Practice |
Power BI Desktop is a free desktop application that you can install on your computer. It works seamlessly with the Power BI service, providing advanced data modeling, data shaping, exploration, and report creation with highly interactive visualizations. It enables users to save their work to a file or publish their reports and data directly to your Power BI site for sharing with others.
Below are the distinct Excel BI add-ons.
Power BI is available in two versions: Power BI Free and Power BI Pro.
Users can use Power BI for free. However, the Power BI Pro subscription provides more from the Microsoft Store. The subscription offers enhanced versions of various features available in the free Power BI account. Most business users use the subscribed account because it offers more daily data refreshes and additional features compared to the free version.
Power Query is available in Power BI Desktop through the Power Query Editor. To open the Power Query Editor, select Edit Queries from the Power BI Desktop Home tab.
The ribbon in the Power Query Editor consists of five tabs - Home, Transform, Add Column, View, and Help.
Power BI stores data in several locations. All the data stays secure through measures such as encryption and password protection. It mainly depends on the channel that you used to import the data. Data is stored in a few places, but it all boils down to two main locations: the cloud and your desktop.
To group in Power BI, select the fields you want to group, then right-click them to open the context menu. Please select the Group option from the menu.
Once you click on the Group option, Power BI will automatically group those items, as shown below. That's it; we did the grouping. If you look closely, Group has replaced the legend section, and the color is now in the details section.
Power BI Desktop 2.153.1206.0, released in May 2026, is the latest major release.
M is a query formula language used in Power BI Query Editor to prepare data before loading it into the Power BI model.
Power Query works with Excel, Analysis Services, and Power BI workbooks. Its core functionality is to filter and combine, i.e., to mash up data from one or more rich collections of supported data sources. Any such data mashup is expressed using Power Query M Formula Language.
Power Query is available through Get & Transform in Excel 2016 or Power Pivot.
In Power BI, we have the following views:
| Also Read: Power BI Gateway |
Row-level security restricts the data that users view and access based on filters. To configure row-level security, users can define rules and roles within Power BI Desktop and publish them to the Power BI Service. Also, the username() function can restrict data in the table to the current user.
However, to enable row-level security, a Power BI Pro subscription is required, and Excel sheets can be used when converted to the .pbix format.
The following are the ways to implement Row Level Security in Power BI:
One of the most important features of Power BI is Bidirectional cross-filtering. This feature allows you to apply filters on both sides of a table relationship, using right-to-left and left-to-right options for their calculations. Through this, modelers can understand exactly how specific relationships can work across multiple contexts.
Power BI Query Editor transforms or edits data files before they are loaded. The Query Editor is an intermediate data container where you can transform data by selecting rows and columns, splitting rows and columns, pivoting and unpivoting columns, etc. Power BI Query Editor includes four tabs:
Power BI is a stand-alone application for creating and uploading Power BI reports; it does not require Excel. It is the combination of Power Pivot, Power View, and Power Query.
The Gateway acts as an extension between Azure cloud administration and on-premises data sources. There are three major types of Gateways listed as follows:
Yes, Power BI can display geographical visualizations. That’s why some kind of location data is needed.
For example, state, country, or latitude and longitude.
Z-order is a design strategy for arranging visuals above or below shapes. It can also be defined as a method applied when reports consist of multiple elements. Moreover, this can be used to refresh the display when items in a report change.
In Power BI, the primary requirement for the table is that it contains unique rows. It must also contain location data, which can be in a Latitude/Longitude pair.
You can use address fields instead, such as street, city, etc., which Bing can geolocate.
| Power BI | Power Query | Power Pivot |
| Business Intelligence tool | Import and shape data | Data modeling and calculations |
| M and DAX languages are supported | M language supported | DAX language supported |
| Incredible visualization options | Easy-to-use interface | Handles millions of rows of data. |
| Simple built-in interactive options | Powerful tools to import and clean data | Modeling tools for efficient data storage and analysis |
| Powerful DAX calculations | All Excel users can benefit from this tool | Powerful DAX calculations going beyond standard Excel |
Of course, Power BI reports can be refreshed with Data Management Gateway and Power BI Personal Gateway.
In Power BI, content packs are used to share objects, such as reports, dashboards, or datasets, with individuals within your organization. Sharing takes place on the Power BI website and can be shared with multiple users. No one can change the original content in the content pack. Also, users have “read-only” access to the Power BI content shared with them.
Many-to-many relationships involve a bridge or junction table that reflects the combinations of two dimensions. Either all possible combinations or those combinations that have occurred.
A relationship with many-to-many cardinality in Power BI is composed of three features:
| Dataset | Report | Dashboard |
| A series of Power Query queries that have been shaped in a DAX model. | A series of visualizations, filters, and static elements on a canvas. | A way of pulling visualizations together from several reports. |
| A Power BI dataset can have many data sources. | Each report can have multiple sheets. | A Power BI dashboard is a single page, often called a canvas, that uses visualizations to tell a story. |
| A data set can have one report, and a report can have one data set. | The data set and your report are going to have a one-to-one relationship. | A dashboard is a tool for pinning visuals from different reports and other sources of data. |
The following are ways to integrate SSRS with Power BI:
It is a function that allows data to be manipulated using periods.
Now that you have understood the basics of the Power BI platform. Next, we will move on to learning the advanced Power BI concepts.
These interview questions cover the advanced Power BI concepts, which will help you enhance your Power BI expertise.
Microsoft Self-Service BI has two parts:
Power BI offers distinct kinds of features to help you get started in searching for data in a completely new way. Power BI Pro, on the other hand, offers additional features such as data scheduling, live data sources, storage capacity, full interactivity, and more.
Excel BI Toolkit allows users to create an interactive report by importing data from a wide range of sources and modeling data according to requirements.
Both Power BI Desktop and Power BI are free. For Power BI Pro, users have to pay $9.99 per month after a 60-day free trial.
To use Power BI, you need to have a web browser and a work email address.
Work email addresses ending in .mil and .gov are not supported currently.
Power BI does not support email addresses from telecommunications providers or consumer email services; thus, you need to sign up with a work email.
Work email addresses ending in .org and .edu are currently supported.
Yes, Power BI supports mobile devices. It consists of apps for iOS devices, Windows 10 devices, and Android smartphones. You can install Power BI apps from the following app stores:
Visualization is the process of representing data in pictorial form, such as tables, graphs, or charts, based on specific requirements.
A report is a Power BI feature that presents visualized data from a single dataset. A report can have multiple pages of visualization.
Power Pivot is an in-memory component that enables the storage of compressed data. It is used to build data models and relationships, create formulas, and calculate columns from different resources.
Filters are applicable in:
The following data sources support DirectQuery in Power BI are as follows:
You can take data and create reports at the click of a button. You can take data and create reports with a button click. It helps attract new customers to the service and monitor existing customers. You can keep track of information and set your goals accordingly. In general, building an ETL solution (Extraction, Transformation, and Loading) ultimately helps to make better decisions. The ROI is very high. It helps turn unwanted data into valuable information.
Datasets are the data sources that are uploaded or connected to databases. These sources include Excel workbooks and Power BI Desktop files. The following are also included in your data capacity. On-premises Reporting Services visualizations are pinned to a Power BI dashboard.
To use the Power BI service for free, you need a work email and a web browser. With this, you can explore data as well as create reports in Power BI Desktop. The mobile app can be downloaded from the following stores:
Google Play, App Store, and Windows Store.
There are some resources to get assistance and get started with Power BI. They are as follows:
SSBI stands for Self-Service Business Intelligence. It can also be termed as accessing data analytics to empower business users to divide, clean, and interpret data. SSBI has made it easy for end-users to access their data and create a variety of visuals to gain useful business insights. Anyone with basic data knowledge can build reports to create spontaneous, shareable dashboards.
The dashboard visualizes strategic data from one or more reports at a glance.
CORR is a correlation function that measures the relationship between two variables, ranging from -1 to 1.
Here are the main advantages of Power BI
There are two destinations for the output we get from Power Query:
A data source filter is a parameter used to filter data before it is loaded into machines.
Below are different Power BI services/products:
Power View is a data visualization technology that lets you create interactive graphs, charts, maps, and other visuals to bring your data to life. It is available in Excel, SQL Server, SharePoint, and Power BI.
A new programming language for Power Query is called M-Code. It is easy to use and similar to other languages. M-code is a case-sensitive language.
Go to Get Data Sources, select the required sources (Excel, SQL, CSV), and then load them. Click on the Data view to view that data.
To choose the table, click the fields, then pick a visualization to generate a report.
Dynamic Filtering in Power BI is done by the following steps:
Power BI license can be purchased at powerbi.com. However, you can also get assistance from Microsoft partners to help with Power BI implementation.
The user cannot avail of the service as an internal or private cloud service. However, with Power BI and Power BI Desktop, users can securely connect to their on-premises data sources.
Data Analysis Expression (DAX) is used to calculate column fields in Power Pivot.
It is a model composed of data types, tables, columns, and table relations. The data tables are generally constructed to hold data for a business entity.
Power Query is an ETL tool for cleaning, shaping, and transforming data without code, using intuitive interfaces. With this:
M-code, which is a new programming language, is used in Power Query. This language is easy to use and is quite similar to other languages. Also, it is case-sensitive.
Two destinations are available for the output we receive from the Power Query. They are:
Power BI Designer is a standalone app for creating Power BI reports and uploading them to Power BI.com. It is a combination of Power View, Power Pivot, and Power Query.
The split function splits a string database using the given delimiter.
Power BI app is available for:
There is a new design tool for Power BI called Power BI Desktop. It is a standalone designer that includes Power Pivot, Power View, and Power Query on the back end. At the same time, Older Power BI consists of Excel add-ins. In the newer Power BI version, several graphs are available, including treemap, line area chart, waterfall, and combo chart.
No, it is not possible. There can be at most one active relationship between two tables in the Power Pivot data model. It is possible to have only one active and many inactive relationships.
The common data shaping techniques are:
KPIs are Key Performance Indicators that assess the organization’s performance in distinct areas by tracking measurable goals and values. A KPI has a measure or base value that is evaluated against target values. It includes a comparison of the performance with the target. The KPI also helps you evaluate the analysis performance with its graphical representation. Thus, KPIs will show whether your goals have been met.
We can use both the Distinct() and Values() functions to return values to a column or cell on the worksheet. The difference is that the Values() function returns blank values along with unique values, whereas the Distinct() function returns unique values.
The advantages of the DirectQuery method are listed as follows:
Users can build large datasets of data visualizations using the DirectQuery method, but Power BI Desktop supports data visualizations only on smaller datasets. There is no dataset limit for the DirectQuery method, so the 1GB limit does not apply.
If you want to create a scenario and, based on that, see the visuals, the best option is the What-if parameter. It helps you to forecast data and perform advanced analytics. For example, if you have set the product discount in the what-if parameter to 1 to 10. Users can change values and see the impact on profit, sales, revenue, margin, and other metrics, enabling detailed analysis.
Next, we will learn the advanced, scenario-based Power BI questions that will help excel in real-time work environments.
Incremental refresh is used to refresh the newly added data to avoid truncation and loading delays.
The major tabs in the Reports development Window are as follows:
Around 26 Views.
Using Normal filters, users were not allowed to interact with dashboards or reports, but using slicers, we can interact with them.
A Parameter in Power BI is a dynamic filter used in calculated fields. It is based on the parameter value, which can vary.
A new column is an area in Power BI where the physical data is stored when logic is applied, whereas a measure is where the calculations are performed on the fly based on dimensions. Measure, unlike Column, won't store any physical data.
There is an option in the Power BI service that publishes to the web, generating a link to the Power BI report that can be shared with clients.
In the menu bar, choose the Selection pane and hide/unhide the report and the action to pass to the bookmark.
A gauge chart is used to compare two measures, with Target and Actuals inferred.
There are two destinations for the output we get from Power Query:
Yes, you can refresh the data reports that are uploaded to the cloud. The Power BI Personal Gateway and Data Management Gateway help you achieve this.
To understand the difference between a Power BI Dashboard and a Report, let’s run through some quick points.
| Capability | Report | Dashboard |
| Pages | Can be of one or more pages. | Consists of one page only |
| Data sources | It has a single dataset per report. | Can have data tiles from one or more datasets or reports. |
| Filtering | Can perform slicing, filtering, and highlighting. | Cannot filter or slice reports. |
| Set alerts | No option for setting alerts. | Enable setting email alerts |
| Featured reports | No option for creating a featured dashboard. | Enables setting only one dashboard as featured. |
| Accessing tables and fields in datasets | Provides options to view dataset tables, values, and fields. | Cannot view or access underlying dataset tables and fields. |
Toggling is an action in Power BI reports that occurs when there are two or more dimensions. With “Enlighten Slicer”, you can show this in Power BI, and it can be imported from the Marketplace.
Rank() calculates the regular competition rank, so it returns identical values. You can ask for ascending or descending values in the second argument, as needed.
In Power BI, a user can export any dashboard or visual. To export your data, click the ellipses (3 dots) in the top-right corner of any visualization, then select the Export data icon. Your data is exported as a CSV file. You can even save the file and open it in Excel.
Follow these steps to manage a role in Power BI.
These can be answered in four simple steps as follows:
Here are the key differences between Power BI and Tableau
| Feature | Power BI | Tableau |
| Data visualization | Focuses only on modeling and reporting | Best tool |
| Cost | Less expensive | Very expensive since it uses data warehousing |
| Machine Learning | It is associated with Microsoft Azure. | It has Python machine learning. |
| User Interface | Simple and easy to use | Use a customized dashboard |
| Data handling | It drags down slowly when handling huge data | Handles bulk data |
Power BI Service is a cloud-based analytics solution that helps you to create dashboards and publish, design reports, collaborate, and share the reports with internal and external stakeholders.
Summarize is a DAX function that gives an aggregated result from a table.
This is how you can use the summarize function:
Yes, you can export Power BI report data to another file format, such as PowerPoint, PDF, Image, Microsoft Word, or Microsoft Excel, or export the report by generating an Atom service document that lists the Atom-compliant data feeds available from the report.
The difference is the context of evaluation. A measure is evaluated in the context of the cell evaluated in a report or in a DAX query. While the calculated column is computed at the row level within the table it belongs to.
This is one of the important Power BI questions. As a developer, you may encounter one or two performance issues depending on the type of data you use. Explain how you overcome those issues.
There is a limitation to exporting data for large data sets in Power BI.
DATEDADD is the most versatile time intelligence function. However, pretty much all the time, intelligence can be recreated with DATEDADD.
Following the tidy data philosophy, column usage should be limited. Also, utilizing the star schema to limit joins will improve the model.
Disabling unused tables from loading also helps. Also, using lookups can improve overall functionality.
You can dynamically change and switch functions to show multiple measures using harvesting measures.
| MSBI | Power BI |
| In MSBI, SSRS is used to access and integrate process components and to program interfaces for testing and sharing reports across multiple devices. | Power BI is a collection of BI tools and techniques for creating reports and dashboards by transforming raw data into customized charts, maps, and graphs. |
| We cannot access the data from the cloud storage. | We can access the data from both the cloud and on-site. |
| MSBI can manage massive datasets without stressing computer systems. | Power BI will manage datasets with a maximum of 33,000 rows or 10 MB. If the data exceeds this limit, the user must execute the queries. |
| In MSBI, SSRS can only be used to create reports and visualizations. | Power BI is used to create models, dashboards, and reports that can be accessed and shared through web browsers and Power BI Apps. |
The following are the different kinds of visualizations in Power BI:
The following are the different types of Filters:
| Calculated Columns | Calculated Tables | Measures |
| Calculated Columns are included in the tables by applying the DAX formula to the existing data. | Calculated tables are created using the DAX formulas to define the values. | Measures will use DAX functions to perform complex calculations. |
| DAX formulas specify values for new columns rather than querying data sources. | Calculated Tables are created in both the Report and Data views | Measures can be utilized to highlight running totals, compare sales, forecast sales, and serve other purposes. |
| Calculated Columns are helpful when the data sources do not include the data displayed in the required format. | Calculated tables are suitable for intermediate calculations, and the data users need to store it in the data model. | Measures are generated in both Data Views and Reports. |
Query Folding refers to processes in Power Query that convert specified steps into SQL and execute them on the source database rather than the client machine. This practice is essential for optimizing performance and ensuring scalability in data processing.
Self-Service BI, or Self-Service Business Intelligence, is an approach to data analytics, visualization, and reporting that allows users to create easy-to-understand, actionable, and intuitive dashboards almost immediately.
Conditional Formatting is a feature that enables us to apply different formatting styles to data elements based on their values and other conditions. We can apply conditional Formatting to several visual elements, such as matrix cells, table cells, color scales, and data bars. Some general use cases for conditional Formatting include emphasizing trends, highlighting outliers, and visualizing data quality issues.
The following are some techniques to optimize the Power BI Reports:
In Power BI, a slicer is a visual element that lets us filter the data in the report by selecting specific ranges and values. Slicers offer a more user-friendly and interactive way to filter data than conventional filters. Filters are applied directly to the individual visualizations and the data model and are not visible to the end user.
CALCULATE TABLE and CALCULATE are the only functions that filter and modify the table. These can be added to existing queries or filters, or used to remove the existing filter context from queries and override the filter context of queries.
In Power BI, we can create visuals from the library of custom visualizations. We should create a development project and then test the visual in the Power BI Service. Whenever a custom visual is created, it is tested before posting. It is saved as the “.pbviz” file.
We use custom visuals when the pre-existing visuals do not suit the business requirements. Generally, Custom Visuals are created by developers and can be utilized in a similar way to prepackaged files.
The data sources can be external or Excel. While preparing the data, ensure that all data is in the format of an Excel table, with each row representing a distinct record. The column and row headings should include text, not actual data. This is critical to ensure that Power Map interprets it properly while plotting the geographical coordinates.
Query parameters are used to provide users with a local Power BI Desktop report that includes a prompt. This helps us to specify the values they are interested in:
The following are the different stages of Power BI
| Explore Power BI Sample Resumes Download & Edit, Get Noticed by Top Employers! |
Let’s go through some Power BI DAX interview questions in this section.
Importing data into Power BI Desktop is easy. You can even create reports that share valuable insights without using DAX formulas in them. But if you want to analyze the growth percentage across different date ranges and product categories, or calculate year-over-year growth relative to market trends? DAX formulas support this capability.
DAX stands for Data Analysis Expression language. Knowing how to use DAX formulas helps you to get the most out of your data. DAX works on operators, functions, and constants to further extend your model.
The three fundamental concepts of Power BI DAX are Syntax, Context, and Functions.
Syntax:
It comprises various components that make up the formula. To understand the DAX formula, let’s break down each of the elements into a language.
Total Sales = SUM(Sales[SalesAmount])
Context:
Functions:
Functions are structured, predefined, and ordered formulae. They complete calculations using arguments passed on to them.
A DAX function is a predefined formula that performs calculations on values provided to its arguments. The arguments in a function should be in a specific order and can be a column reference, text, numbers, constants, etc. Every function performs a particular operation on the values enclosed in an argument. There can be more than one argument in a DAX formula.
Some of the most commonly used DAX functions:
Date and Time Functions:
These functions perform calculations on date and time values.
Ex: DATE, CALENDER, HOUR, MINUTE
Time Intelligence Functions:
These functions are used to evaluate values over a fixed period.
Ex: DATESBETWEEN, ENDOFQUARTER, CLOSINGBALANCEMONTH
Information Functions:
These functions provide particular information on the data values included in rows and columns. It checks the given condition in a function for the given value and returns TRUE or FALSE.
Ex: ISERROR, CUSTOMDATA, ISNONTEXT
Logical Functions:
These functions are used to evaluate an argument or expression logically.
Ex: AND, FALSE, IFERROR, IF
Mathematical and Trigonometric Functions:
These functions are used to perform all sorts of mathematical functions on the reference values.
Ex: DIVIDE, FACT, ACOS
Statistical Functions:
These functions perform statistical and aggregation operations on data values in a DAX expression.
Ex: AVERAGE, COUNT, GENERATE
Text Functions:
These are similar to Excel's string functions.
Ex: FIND, LEFT, FIXED, FORMAT
Parent-Child Functions:
These are used for data values that are a part of a parent-child hierarchy.
Ex: PATH, PATHITEM
Table Functions:
In DAX formulas, these functions are used to apply operations and conditions on entire tables.
Ex: FILTER, VALUES, DISTINCT
Other Functions:
There are a bunch of functions that do not fit in any particular category.
Ex: GROUPBY, EXCEPT, GENERATESERIES
DAX formulas can also be called DAX Calculations, as they take an input value and return a result. The calculations that you can perform using DAX in Power BI are Calculated Measures and Calculated Columns.
Calculate functions allow you to modify the filter context of tables or measures. You can perform the following:
By following the steps below, we can implement RLS in Power BI.
First, prepare a data model consisting of fact and dimension tables.
For static RLS
For dynamic RLS
We can follow the approach to version PBI files.
To solve this problem, we can use the field parameters approach in Power BI. Let’s run through the required steps below.
Create the field parameter
Format the slicer to drop a slicer onto your page
Update the four visuals
Power BI works with the advanced version of Excel, so one needs to have excellent knowledge of MS Excel and to build interactive dashboards to get hired.
Q&A in Power BI allows you to explore data using natural language capabilities and obtain answers in the form of graphs and charts. You'll find Q&A on dashboards in the Power BI service.
No coding is required to use Power BI. It’s a data visualization tool to create business intelligence dashboards. However, Power BI has formula languages such as M and DAX that perform operations similar to programming languages.
To become a Power BI Developer, you must have key data visualization skills and an ability to glean insights from large data sets. Companies across all industries have made huge investments in big data, building out their analytics departments, making Power BI a field ripe with opportunities. This trend is projected to continue in the foreseeable future.
Here are the five steps to become a Power BI Developer:
Yes, it is a good career option. Major MNCs like TCS, Infosys, Wipro, HCLTech, LTIMindtree, KPMG, PwC, and Birlasoft use Power BI extensively. So you can get jobs in MNCs for good salaries by learning Power BI.
On-premises or in the cloud, Power BI provides a scalable and unified platform for data collection, refinement, analysis, and presentation. Through interactive dashboards and data-rich, easy-to-understand reporting, it provides organizations with a 360-degree view of their operations. It is part of the Microsoft Business Intelligence (MSBI) suite and includes a variety of services, products, and applications.
According to AmbitionBox, Power BI developers with 2-5 years of experience can earn a salary between 6.5 LPA and 7.2 LPA in India. Glassdoor reports that they can earn between 91k USD and 100k USD in the USA.
There are a variety of job profiles available due to Power BI's popularity:
Because of Power BI's ubiquity, there is a plethora of resources for aspiring professionals to understand all aspects of the platform, from basic to advanced.
Here is a list of different ways you may use to learn Power BI, whether you're just getting started or want to brush up on your existing knowledge.
Both Tableau and Power BI allow users to connect to different data sources. However, Tableau provides better support for connecting to different data warehouses, while Power BI is deeply integrated with Microsoft’s portfolio, including the Azure cloud platform.
Data is useless without proper analytics. Any professional with analytical skills can easily master the vast expanse of Big Data and become a crucial asset to the organization, boosting the business and their career. There are several on-demand job opportunities in Big Data management and analytics, and the demand is constantly growing.
Understanding the key skills required for Power BI engineers will help you prepare for Power BI interviews effectively.
Here, we outline the responsibilities of Power BI engineers for various expertise levels.
Entry-level with 0-2 years of experience
Middle-level with 2-3 years of experience
Senior-level with 3-5 years of experience
Here are a few tips to help you ace your Power BI interview.
Research the company
Learn everything there is to know about the organization. Tailor your responses to the company's needs.
Review the job specifications
Look over the responsibilities of the role. Brainstorm at least one example from your previous experience that meets the listed requirements. When the interviewer asks a question about that criterion, you'll be prepared with an example.
Brush up on your knowledge
You may be asked questions about business intelligence processes, methodologies, or best practices. Review your knowledge in essential areas through books, videos, tutorials, and more.
Practice common questions
While you can't predict what the company will ask, familiarising yourself with common interview questions will help you prepare.
We hope these Power BI interview questions helped you gain a solid understanding of its features and capabilities. You must have gained comprehensive knowledge of Power BI from the basics to the advanced without a doubt.
If you want to learn more about Power BI, you can take the Power BI course by MindMajix. By the end of the training, you will gain strong competency to crack your Power BI interviews effortlessly.

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