Top 60 Power BI Interview Questions and Answers in 2026

Introduction

Power BI is growing fast, and companies are looking for professionals who can turn data into actionable insights efficiently. According to Fortune Business Insight’s 2026 Business Intelligence Market Forecast, the global BI market is expected to grow from USD 34.82 billion in 2025 to USD 37.96 billion in 2026.

With demand rising, interviews are becoming more important than ever for candidates who can actually apply Power BI skills in real work.

Here are the main areas you can expect in most Power BI interviews:

• Data modeling and relationships
• Data transformation using Power Query
• Calculations with DAX (Data Analysis Expressions)
• Creating visuals and dashboards
• Publishing and optimizing reports

Microsoft Power BI is still one of the most popular business intelligence tools. According to Ramp’s 2026 usage data, around 13 % of organizations that bought BI software chose Power BI. It’s in the top three most-used BI tools, and big enterprises in particular are using it a lot.

Before we dive in, here’s a quick video roundup of the 15 most commonly asked Microsoft Power BI interview questions list with concise answers.

In this article, we will go through a comprehensive list of Power BI interview questions and answers. You will find questions for freshers, intermediate topics, and experienced professionals to help you prepare for every stage of your interview.

Top Power BI Interview Questions for Freshers

Preparing for a Power BI interview as a fresher means getting familiar with the platform’s core concepts and key functionalities. Here are some Power BI interview questions for freshers 2026 to guide your preparation and get you started confidently.

1. What is Power BI?

Power BI is a business analytics tool developed by Microsoft that helps you turn multiple unrelated data sources into valuable and interactive insights. These data may be in the form of an Excel spreadsheet or cloud-based/on-premises hybrid data warehouses.

You can easily connect to all your data sources and share the insights with anyone.

2. Why should we use Power BI?

Because Power BI provides an easy way for anyone, including non-technical people, to connect, change, and visualize their raw business data from many different sources and turn it into valuable data that makes it easy to make smart business decisions.

3. Difference between Power BI and Tableau.

Power BI and Tableau are both strong tools for business intelligence, but they work best in different situations. Power BI fits well for companies already using Microsoft tools like Excel, Office 365, or Azure because it connects easily with them. Tableau is better if you want highly customizable visuals or need to handle really large datasets.

Power BI can manage big datasets using DirectQuery or Premium options, while Tableau uses its in-memory engine to crunch data fast. For beginners and general business users, Power BI is easier to pick up. Tableau gives advanced analysts more control when they want to fine-tune visuals and analytics.

4. What is the difference between Power Query and Power Pivot?

Power Query is used to prepare data. It lets you connect to different sources, clean them up, and shape them before bringing them into Power BI. For example, you might combine multiple Excel sheets, remove unnecessary columns, or rearrange the data layout.

Power Pivot is for building the data model and doing calculations. You can link tables together, create calculated columns or measures, and run more advanced calculations with DAX. In short, Power Query prepares the data, and Power Pivot organizes it so you can analyze it and create reports.

5. What is Power BI Desktop?

Power BI Desktop is a free Microsoft tool that brings together data connections, cleaning, modeling, and visualization in one place. You can connect to various data sources, clean and shape the data with Power Query, and create relationships and calculations with Power Pivot.

It also lets you build interactive reports with charts, tables, and visuals. Once your reports are ready, you can publish them to the Power BI Service to share with others. Everything is done in one tool, so you don’t have to switch between multiple programs to get your data ready and visualized.

6. What is Power Pivot?

Power Pivot is an add-on for Excel from Microsoft that has been available since 2010. Power Pivot was designed to extend the analytical capabilities and services of Microsoft Excel.

7. Describe the components of Microsoft’s self-service BI solution

Microsoft’s self-service BI (Business Intelligence) solution primarily involves the following key components:

• Power BI Desktop: A free desktop application that allows users to connect to, transform, and visualize data. It provides a comprehensive environment for creating reports and dashboards without requiring advanced programming skills.
• Power BI Service: A cloud-based service where users can share, collaborate, and publish the reports created in Power BI Desktop. It allows for real-time dashboard updates and sharing of reports with stakeholders.
• Power BI Mobile: An app for mobile devices (iOS, Android, and Windows) that lets users view and interact with reports and dashboards on the go. It ensures access to BI insights anytime, anywhere.
• Power BI Gateway: A bridge that allows users to securely connect their on-premises data sources (like SQL Server) to the Power BI cloud services. It helps keep reports and dashboards up-to-date by refreshing the data at regular intervals.
• Power BI Report Server: An on-premises solution for hosting and managing Power BI reports, along with traditional paginated reports. It’s ideal for organizations that need to keep their BI reports within their internal infrastructure.
• Power Query: A data connection tool used in Power BI Desktop and Excel. It allows users to import, clean, and transform data from various sources (databases, web services, files, etc.) with a simple, user-friendly interface.
• Power Pivot: A data modeling component within Power BI Desktop that helps users create complex data models, perform in-memory analytics, and define calculated columns and measures using DAX (Data Analysis Expressions).
• Power View: A visualization tool integrated into Power BI that helps users create interactive reports and dashboards with drag-and-drop functionality.

8. What is self-service BI?

SSBI is an abbreviation for Self-Service Business Intelligence and is a breakthrough in business intelligence. SSBI has enabled many business professionals with no technical or coding background to use Power BI and generate reports and draw predictions successfully. Even non-technical users can create these dashboards to help their business make more informed decisions.

9. What is DAX?

DAX stands for Data Analysis Expressions. It's a collection of functions, operators, and constants used in formulas to calculate and return values. In other words, it helps you create new info from data you already have.

10. What are Filters in Power BI?

The term "Filter" is self-explanatory. Filters are mathematical and logical conditions applied to data to filter out essential information in rows and columns. The following are the variety of filters available in Power BI:

• Manual filters
• Auto filters
• Include/Exclude filters
• Drill-down filters
• Cross Drill filters
• Drillthrough filters
• Drillthrough filters
• URL filters–transient
• Pass-Through filters

11. What are Custom Visuals in Power BI?

Custom Visuals are like any other visualizations, generated using Power BI. The only difference is that it develops the custom visuals using a custom SDK. Languages such as JQuery and JavaScript are used to create custom visuals in Power BI.

12. What is GetData in Power BI?

Get Data in Power BI is the option you use to connect Power BI to a data source and bring data into your report. It lets you choose from connectors like Excel, SQL Server, SharePoint, Web, Azure, Google Analytics, and many more.

After selecting a source, you can load the data directly or click Transform Data to clean and shape it in Power Query before loading

13. Mention some advantages of Power BI

Some of the advantages of using Power BI are as follows:

• Easy data visualization: Build interactive dashboards and reports without heavy coding.
• Broad data connectivity: Connect to Excel, SQL, cloud apps, and many other sources.
• Fast insights with DAX: Create powerful calculations and metrics for deeper analysis.
• Real-time dashboards: Monitor KPIs with live or near real-time updates.
• Strong Microsoft integration: Works smoothly with Excel, Azure, Teams, and SharePoint.
• Sharing and collaboration: Publish reports securely and manage access with governance controls.
• AI-assisted analytics: Use features like forecasting, Q&A, and key influencers for faster insights.

14. List out some drawbacks/limitations of using Power BI.

Although Power BI is highly capable, it has some limitations:

• Dataset size limits: Pro users can import datasets up to ~1 GB; Premium users allow larger datasets.
• Refresh limits: Pro users can schedule up to 8 daily refreshes; Free users can only schedule 1.
• Performance considerations: Large datasets in DirectQuery mode depend on the source system's performance.
• Advanced analytics: Complex predictive or statistical modeling often requires Python, R, or Azure Machine Learning integration.
• Third-party integrations: Connecting non-Microsoft tools may require extra configuration or connectors.

15. What certifications help with Power BI job interviews?

PL-300: Microsoft Power BI Data Analyst Associate is widely recognized. Other certifications cover reporting, DAX, and data modeling skills.

As per ElectroIQ’s report, Power BI also holds a significant share of the overall BI market, accounting for roughly 30 % of BI tool usage, often placing it ahead of competitors like Tableau and Qlik in real-world deployments.

Boost your career with in-demand Power BI skills and a Microsoft certification. Enroll in the Microsoft Power BI Certification Training now!

Intermediate Level Power BI Interview Questions and Answers

Now, let’s explore some of the most frequently asked intermediate-level Power BI interview questions and answers.

16. How would you handle missing data in a Power BI report?

Missing data can throw off your reports and insights, so it’s important to handle it carefully in Power BI. Here are some common ways to deal with it:

• Use Power Query’s data profiling to spot missing values in your dataset
• Replace missing values with zeros, averages, or the value from the previous or next row
• Remove rows if the missing data is small and doesn’t affect the results
• Flag missing values with a calculated column so they’re easy to see in reports
• Keep a note of your approach and reasoning, as interviewers often look at how you handle data quality decisions

17. Name the different connectivity modes available in Power BI?

There are three main connectivity modes used in Power BI.

1. SQL Server Import

An SQL Server Import is the default and most common connectivity type used in Power BI. It allows you to use the full capabilities of the Power BI Desktop. 

2. Direct Query

The Direct Query connection type is only available when you connect to specific data sources. In this connectivity type, Power BI will only store the metadata of the underlying data and not the actual data.

3. Live Connection

With this connectivity type, it does not store data in the Power BI model. All interaction with a report using a Live Connection will directly query the existing Analysis Services model.

There are only 3 data sources that support the live connection method: SQL Server Analysis Services (Tabular models and Multidimensional Cubes), Azure Analysis Services (Tabular Models), and Power BI Datasets hosted in the Power BI Service.

18. What are the various types of refresh options provided in Power BI?

Power BI offers several ways to keep your reports up to date.

• Scheduled refresh runs automatically at set times to pull in new data. It’s useful if you need reports updated regularly
• Data refresh reloads all data from the source, keeping your calculations and visuals up to date
• Tile refresh updates the visuals you see on dashboards roughly every 15 minutes, ensuring KPI tiles reflect recent changes
• A visual container refresh updates only certain visuals or sections in a report

19. What types of data sources can Power BI connect to?

Power BI can pull data from many different sources. You can bring in files like Excel, CSV, XML, JSON, PDF, or even SharePoint folders. It also connects to databases such as SQL Server, MySQL, Oracle, PostgreSQL, IBM DB2, and Amazon Redshift.

For cloud sources, it works with Azure SQL Database, Azure Synapse Analytics, Azure Blob Storage, and Azure Data Lake. Online services such as SharePoint Online, Dynamics 365, Salesforce, Google Analytics, and Microsoft Exchange Online are also supported. You can even use Power Platform sources like Power BI Datasets, Dataflows, or Dataverse.

20. What is a dashboard in Power BI? 

A dashboard is a single-layer presentation sheet of multiple visualizations reports. The main features of the Power BI dashboard are:

• It allows you to drill through the page, bookmarks, and selection pane and also lets you create various tiles and integrate URLs
• A dashboard can also help you set report layout to mobile view.

21. Explain how relationships are defined in Power BI Desktop? 

Relationships between tables are defined in two ways: 

• Manual: Relationships between tables are manually defined using primary and foreign keys.
• Automatic: When enabled, this automated feature of Power BI detects relationships between tables and creates them automatically.

22. Can you have more than one functional relationship between two tables in a Power Pivot data model?

No. There can be multiple inactive relationships, but only one active relationship between two tables in a Power Pivot data model. Dotted lines represent inactive relationships, and continuous lines represent active relationships.

23. Can you have a table in the model which does not have any relationship with other tables? 

Yes. There are two main reasons why you can have disconnected tables:

• The table is used to present the user with parameter values to be exposed and selected in slicers 
• It uses the table as a placeholder for metrics in the user interface

24. What is the CALCULATE function in DAX?

The CALCULATE function evaluates the sum of the Sales table Sales Amount column in a modified filter context. It is also the only function that allows users to modify the filter context of measures or tables.

25. Where is data stored in Power BI? 

It depends on how your report is connected:

1. Import mode: Data is copied into the report’s dataset/model (compressed in-memory using VertiPaq).

• In Power BI Desktop, it’s stored inside the .pbix file on your computer
• After publishing, it’s stored in the Power BI Service as a dataset in your workspace

2. DirectQuery/Live connection: Data stays in the source system (SQL, Snowflake, etc.). Power BI stores only metadata, connection details, and queries the source when visuals load.

3. Dataflows: Data is stored in the Power BI Service as prepared tables (separate from reports), then reused by datasets.

26. What is row-level security?

Row-level security limits the data a user can view and access, and it relies on filters. Users can define rules and roles in Power BI Desktop and publish them to the Power BI Service to configure row-level security.

27. Why should you apply general formatting to Power BI data?

You should apply general formatting to make it easier for Power BI to categorize and identify data, making it considerably easier to work with.

28. What are the different views available in Power BI Desktop? 

There are three different views in Power BI, each of which serves another purpose: 

• Report View: In this view, users can add visualizations and additional report pages and publish them on the portal.
• Data View: In this view, data shaping can be performed using Query Editor tools.
• Model View: In this view, users can manage relationships between complex datasets.

29. Explain the building blocks of Microsoft Power BI.

The key building blocks of Power BI are:

• Visualizations, which are the charts, tables, and graphics that clearly show your data
• Datasets are the actual data you use to create reports and visuals
• Reports, which are made up of these visualizations and can span one or more pages
• Dashboards, which give you a one-page view of key metrics, often pull visuals from multiple reports
• Tiles, which are the individual pieces on a dashboard, each showing a single metric or visual

30. What are the critical components of the Power BI toolkit?

The critical components of Power BI are mentioned below.

• Power Query
• Power Pivot
• Power View
• Power Map
• Power Q&A

31. What do you mean by the content pack?

A content pack is defined as a ready-made collection of visualizations and Power BI reports using your chosen service. You'd use a content pack when you want to get up and running quickly instead of creating a report from scratch.

32. Define bi-directional cross filtering.

Bidirectional cross-filtering lets data modelers to decide how they want their Power BI Desktop filters to flow for data, using the relationships between tables. The filter context is transmitted to a second related table that exists on the other side of any given table relationship.

This procedure helps data modelers solve the many-to-many issue without having to complicated DAX formulas. So, to sum it up, bidirectional cross-filtering makes the job for data modelers easier.

33. What are the three fundamental concepts of DAX?

The three fundamental concepts of DAX (Data Analysis Expressions) in Power BI are:

1. Syntax

This is how the formula is written—that is, the elements that comprise it. The Syntax includes functions such as SUM (used when you want to add figures). If the Syntax isn't correct, you'll get an error message.

2. Functions

These are formulas that use specific values (also known as arguments) in a specific order to perform a calculation, similar to Excel functions. The categories of functions are date/time, time intelligence, information, logical, mathematical, statistical, text, parent/child, and others.

3. Context

There are two types: row context and filter context. Row context comes into play whenever a formula has a function that applies filters to identify a single row in a table. When one or more filters are applied in a calculation that determines a result or value, the filter context comes into play.

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

You will use a custom visual file if the prepackaged files don't meet your business's needs. Developers create custom visual files; you can import and use them the same way you would the prepackaged files.

35. What are some familiar sources for data in the Get Data menu in Power BI?

A few familiar data sources are:

• Excel
• Power BI datasets
• Web, text
• SQL Server
• Analysis services

36. What are the categories of data types? 

In Power BI, the categories of data types are as follows:

• All
• File
• Database
• Power BI
• Azure
• Online Services
• Other

37. Name some commonly used tasks in the Query Editor.

In Power BI's Query Editor (also known as Power Query), some commonly used tasks include:

• Connect to data
• Shape and combine data
• Group rows
• Pivot columns
• Create custom columns
• Query formulas

38. What do you mean by grouping?

Power BI Desktop helps you to group the data in your visuals into chunks. You can, however, define your groups and bins. For grouping, use Ctrl+click to select multiple elements in the visual.

Right-click one of those elements and, from the menu that appears, choose Group. In the Groups window, you can create new groups or modify existing ones.

39. Explain responsive slicers in Power BI

On a Power BI final report page, a developer can resize a responsive slicer to various sizes and shapes, and 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 takes its place, saving space on the report page.

40. What is query folding in Power BI?

Query folding is used when steps defined in the Query Editor are translated into SQL and executed by the source database rather than on your device. It helps with scalability and efficient processing.

According to Graphed’s survey of Fortune 500 companies, the majority of these organizations use Microsoft Power Platform tools, including Power BI, as part of their analytics stack, highlighting its widespread enterprise relevance and growth.

Top Power BI Interview Questions for Experienced Professionals

Here are the Power BI advanced interview questions for experienced professionals that test advanced knowledge, practical skills, and strategic decision-making abilities:

41. What are the major differences between visual-level, page-level, and report-level filters in Power BI?

Visual-level filters are used to filter data within a single visualization. Page-level filters apply to an entire page in a report, and different pages can have different filters. 

Report-level filters apply to all visualizations and pages in the report.

42. List the most common techniques for data shaping.

In Power BI, data shaping involves transforming raw data into a suitable format for analysis and reporting. The most common techniques for data shaping include:

• Adding indexes
• Applying a sort order
• Removing columns and rows

43. How is the Schedule Refresh feature designed to work?

Users can set up automatic data refreshes based on daily or weekly requirements. Users can schedule only one refresh maximum daily unless they have Power BI Pro. The Schedule Refresh section uses the drop-down menus to select a frequency, time zone, and time of day.

44. What information is needed to create a map in Power Map?

Power Map can display geographical visualizations. Therefore, location data is needed: city, state, country, or latitude and longitude.

45. Which in-memory analytics engine does Power Pivot use?

Power Pivot uses the xVelocity engine. xVelocity can handle huge amounts of data, storing data in columnar databases. All data is loaded into RAM when you use in-memory analytics, which boosts processing speed.

46. Mention important components of SSAS

The following are some of the important components of SSAS:

1. OLP Engine

An OLAP Engine is used to run ad hoc queries faster for end users.

2. Data Drilling

It describes data Drilling in SSAS as the process of exploring data details at multiple levels of granularity

3. Slicers

The data Slicing process in SSAS is defined as the process of storing the data in rows and columns

4. Pivot Tables

Pivot Tables help in switching between the different categories of data stored in rows and columns

47. Name the variety of Power BI Formats

Power BI is available mainly in three formats, as mentioned below.

1. Power BI Desktop: Open-Source version for Desktop users 
2. Power BI Services: For Online Services
3. Power BI Mobile Application: Compatible with mobile devices

48. What are the different stages in the working of Power BI?

There are three stages to working with Power BI, as explained below.

1. Data Integration

The primary step in any business intelligence is to establish a successful connection with the data source and integrate it to extract data for processing. Learn all about data integration here.

2. Data Processing

The next step in business intelligence is data processing. Most of the time, the raw data also includes unexpected erroneous data, or sometimes a few data cells might be empty. The BI tool needs to handle missing values and inaccurate data during data processing.

3. Data Presentation

The final stage in business intelligence is analyzing data from the source and presenting insights through visually appealing graphs and interactive dashboards.

49. Which professionals use Power BI the most?

Beginners and experts prefer Power BI for business intelligence. Power BI is used mainly by the following professionals:

1. Business Analysts

A business analyst is a professional who analyses the business data and represents the insights found using visually appealing graphs and dashboards

2. Business Owners

Business owners, decision-makers, or organizations use Power BI to view insights and understand predictions to inform business decisions.

3. Business Developers

Business Developers are software developers hired for business purposes to develop custom applications and dashboards to streamline business processes.

50. What is the advanced editor?

The advanced editor is used to view queries that Power BI is running against the data sources importing data. The query is rendered in M-code. Users wanting to view the query code select “Edit Queries” from the Home tab, then click “Advanced Editor” to edit the query. Any changes get saved to Applied Steps in the Query Settings.

51. What gateways does Power BI have, and why should you use them?

Gateways function as bridges between the in-house data sources and Azure Cloud Services.

• Personal Gateway: Used only by one person, data can be imported, and is only valid on the Power BI Service.
• On-Premises Gateway: This is an advanced form of the Personal Gateway, supporting Direct Query and usable by multiple users to refresh data.

52. Mention some applications of Power BI

There are multiple applications of Power BI; some of them are as follows:

• Interactive Dashboards: Create real-time, interactive dashboards for business insights
• Data Visualization: Turn complex data into clear, visual reports and charts
• KPI Tracking: Monitor key performance indicators across departments
• Sales and Marketing Analytics: Analyze campaign performance, lead funnels, and sales trends
• Financial Reporting: Generate dynamic profit/loss reports, forecasts, and budget comparisons
• Operations Monitoring: Track supply chain, inventory, and logistics metrics
• Customer Insights: Understand customer behavior, feedback, and engagement
• Embedded Analytics: Integrate reports and dashboards into apps or websites for external users

53. How can you depict a story in Power BI?

Every individual chart or visualization report generated is collected and represented on a single screen. Such an approach is called a Power BI Dashboard. A Power BI dashboard is used to tell a story.

54. What are KPIs in Power BI?

KPI stands for Key Performance Indicator. Any professional organization has teams and employees who follow the KPI protocols. The organizations set up KPIs for all the employees. These KPIs act as their targets. These KPIs are compared with previous performance to analyze progress.

55. What is a Slicer?

Slicers are an integral part of a business report generated using Power BI. The functionality of a slicer can be considered similar to that of a filter, but, unlike a filter, a Slicer can display a visual representation of all values, and users will be provided with the option to select from the available values in the slicer’s drop-down menu.

56. A manager wants a report showing monthly sales trends with exceptions highlighted. How would you do it?

To highlight exceptions in monthly sales, you can follow these steps:

• Start with a line chart or column chart to show the sales trends over the months
• Create a DAX measure to define what counts as an exception, like sales below a target
• Apply conditional formatting to highlight months with exceptions
• Use slicers for months or years to let users explore the data dynamically
• If needed, add tooltips or drill-through pages to give more details on the exceptions

57. How would you optimize a Power BI report that loads slowly due to large datasets?

If you want your Power BI reports to run fast and smoothly, here are some practical tips:

• Only bring in the columns you need and filter out unnecessary rows right at the source
• Use database-level aggregations to keep your datasets smaller
• Let the database do heavy transformations by applying query folding in Power Query
• Pick DirectQuery for real-time data, or use Import mode if speed is more important
• Keep DAX calculations simple, avoid repeating complex formulas, and pre-calculate measures when you can
• Don’t overload a page with too many visuals; too many can slow things down

58. How should you prepare for a Power BI interview?

Effective preparation involves more than memorizing functions:

• Understand data modeling, DAX formulas, Power Query transformations, and visualization principles
• Practice building end-to-end reports with real datasets to demonstrate practical skills
• Prepare for scenario-based questions, e.g., handling missing data, creating KPIs, or optimizing slow reports
• Review Power BI Service and Power BI Mobile features, since many interviews test knowledge beyond Desktop

59. How can you stand out in a Power BI interview?

Interviewers value candidates who can apply knowledge practically:

• Share your own reports or dashboards and talk about why you designed them that way, including data relationships and optimization choices
• Follow best practices, like keeping measures simple and using clear names for tables and columns
• Highlight any experience with real-time data, DAX optimization, or interactive dashboard development

60. What soft skills are important in a Power BI interview?

Power BI interviews assess both technical and soft skills:

• Problem-solving to transform business requirements into visual insights
• Communication skills to explain your dashboards to non-technical stakeholders
• Attention to detail for ensuring accuracy in reports and formulas
• Collaboration is necessary since Power BI reports often integrate input from multiple teams

Are you preparing to build a career in Power BI? Hearing from people who have actually gone through it can be really useful. Read this Reddit discussion “Is Power BI Dev a good career choice?”, where users openly share their experiences and insights. This thread provides honest perspectives on what working with Power BI is really like and how it fits into broader data analytics careers.

KeyTakeaways

• Employers care more about how you work with data, find insights, and use BI tools in real situations
• Spend time getting good at the basics, data modeling, DAX calculations, Power Query, and building reports or dashboards
• Play with real datasets, build interactive dashboards, and publish reports to show what you can actually do

FAQs

1. What non-technical skills do employers value in a Power BI candidate?

Employers value problem-solving, communication, business acumen, and data storytelling skills to help interpret and present insights effectively.

2. How can I effectively prepare for behavioral questions in a Power BI interview?

Practice answering questions using the STAR (Situation, Task, Action, Result) method and focus on teamwork, problem-solving, and project experiences.

3. What strategies can help me succeed in the technical tests of a Power BI interview?

Review Power BI concepts, practice DAX queries, data modeling, and hands-on exercises with real datasets to build confidence.

4. What insightful questions should I ask the interviewer about a Power BI role?

Ask about team structure, project workflows, data challenges, growth opportunities, and how Power BI integrates with business decisions.

5. What are the best approaches to negotiating a higher salary for a Power BI position?

Research industry salary trends, highlight your skills and certifications, and confidently discuss your value to the company during negotiations.

6. What are common interview scenario questions for Power BI?

Power BI advanced interview questions often cover scenarios like optimizing reports, refreshing large datasets, designing dashboards, and writing DAX calculations.