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Power BI Interview Prep: Questions, Answers & Tips In Hindi

Power BI Interview Prep: Questions, Answers & Tips In Hindi

power bi
power bi
power bi

Sunday, February 1, 2026

Power BI has become one of the most in-demand business intelligence tools, and with that demand comes tough interviews. Whether you are a fresh graduate, data analyst, BI developer, or working professional planning a switch, strong Power BI interview preparation is essential to crack technical and scenario-based rounds.

This guide covers commonly asked Power BI interview questions, clear answers, and expert tips to help you confidently face interviews and stand out from other candidates.

What Is Power BI?

Power BI is a business analytics tool developed by Microsoft that allows users to visualize data, create interactive dashboards, and share insights across an organization. It connects to multiple data sources, transforms raw data, and presents it in an easy-to-understand visual format.

Power BI is widely used because it is:

  • Easy to learn

  • Highly interactive

  • Integrated with Microsoft products

  • Cost-effective compared to other BI tools

Core Components of Power BI

Before interviews, you must clearly understand Power BI’s main components:

  1. Power BI Desktop – Used for creating reports and data models

  2. Power BI Service – Cloud platform for publishing and sharing reports

  3. Power BI Mobile – Mobile app for accessing dashboards

  4. Power BI Gateway – Connects on-premises data to cloud service

  5. Power BI Report Server – On-premises report hosting solution

Power BI Interview Questions for Freshers

1. What is Power BI used for?

Power BI is used for data visualization, reporting, and business intelligence. It helps organizations analyze data and make data-driven decisions using dashboards and reports.

2. What are the different views in Power BI Desktop?

Power BI Desktop has three main views:

  • Report View – For creating visuals and dashboards

  • Data View – For viewing data tables

  • Model View – For managing relationships between tables

3. What is DAX in Power BI?

DAX (Data Analysis Expressions) is a formula language used to create:

  • Calculated columns

  • Measures

  • Custom calculations

Example:

Total Sales = SUM(Sales[Amount])

4. What is Power Query?

Power Query is a data transformation and ETL tool in Power BI that allows users to:

  • Clean data

  • Remove duplicates

  • Merge tables

  • Transform columns

It uses M language in the background.

Power BI Interview Questions for Experienced Professionals

5. Difference between Measure and Calculated Column



Measure

Calculated Column

Calculated at runtime

Calculated during data refresh

Uses filter context

Uses row context

Used for aggregations

Stored in the table

6. What is a Data Model in Power BI?

A data model defines how tables are connected using relationships. A well-designed data model improves:

  • Performance

  • Accuracy

  • DAX calculation efficiency

Star schema is the most recommended modeling approach.

7. What are relationships in Power BI?

Relationships define how tables are connected. Types include:

  • One-to-Many

  • Many-to-One

  • One-to-One

  • Many-to-Many

They can be active or inactive.

8. What is Row Context and Filter Context?

  • Row Context: Works on a single row (used in calculated columns)

  • Filter Context: Applies filters to calculations (used in measures)

Understanding context is critical for DAX interviews.

Advanced Power BI Interview Questions

9. What is CALCULATE function?

CALCULATE() modifies the filter context of a measure.

Example:

Sales USA = CALCULATE(SUM(Sales[Amount]), Country="USA")

10. What are Time Intelligence Functions?

Time intelligence functions allow date-based calculations such as:

  • YTD

  • MTD

  • Previous Year

Examples:

  • TOTALYTD()

  • SAMEPERIODLASTYEAR()

11. What is Power BI Gateway?

Power BI Gateway enables secure data transfer between on-premises data sources and Power BI Service.

Types:

  • Personal Mode

  • Standard Mode

12. How do you improve Power BI performance?

  • Use star schema

  • Reduce columns

  • Avoid unnecessary calculated columns

  • Use measures instead of columns

  • Optimize DAX formulas

Power BI Scenario-Based Interview Questions

13. How do you handle large datasets in Power BI?

  • Use DirectQuery when required

  • Aggregate data

  • Reduce visuals per page

  • Optimize relationships

  • Use incremental refresh

14. How do you secure reports in Power BI?

Using Row Level Security (RLS), which restricts data access based on user roles.

15. Difference between Import Mode and DirectQuery



Import Mode

DirectQuery

Data stored in Power BI

Data remains in source

Faster performance

Real-time data

Requires refresh

No scheduled refresh

Power BI Interview Tips (Very Important)

1. Focus on DAX Basics

Most interview failures happen due to weak DAX knowledge. Practice:

  • CALCULATE

  • FILTER

  • ALL

  • SUMX

2. Prepare Real-World Use Cases

Interviewers love practical answers:

  • Sales dashboard

  • Financial reporting

  • Customer analysis

3. Know the Tool, Not Just Theory

Be ready to explain:

  • How you built dashboards

  • Challenges faced

  • Optimization techniques used

4. Practice Mock Interviews

Explain concepts aloud. Clear communication is as important as technical knowledge.

5. Stay Updated

Power BI updates monthly. Knowing new features gives you an edge.

Common Power BI Interview Mistakes to Avoid

  • Memorizing answers without understanding

  • Ignoring data modeling concepts

  • Weak explanation of DAX context

  • Not knowing Power BI Service features

Final Thoughts

Power BI interviews evaluate your concept clarity, hands-on experience, and real-world problem-solving skills. Whether you’re a fresher or an experienced professional, strong fundamentals in DAX, data modeling, Power Query, and performance optimization are essential. In today’s market, combining data analytics expertise with prompt engineering skills gives you a competitive edge, helping you extract better insights, automate analysis, and stand out in modern BI roles.

Copyright © 2024 .All Right reserved by Every Thing You Get

Copyright © 2024 .All Right reserved by Every Thing You Get

Copyright © 2024 .All Right reserved by Every Thing You Get

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