Power BI Interview Questions & Answers | Crack Your Next Data Analyst Job!

✅ Crack your next Power BI interview with these top 5 essential questions and answers! 🚀

Q1: What is Power BI, and why is it used?

👉 Power BI is a business intelligence (BI) tool developed by Microsoft that helps users to visualize data, create reports, and gain insights from various data sources. It enables businesses to make data-driven decisions by transforming raw data into meaningful dashboards and reports.

Q2: What are the different components of Power BI?

👉 Power BI consists of five major components:
1️⃣ Power BI Desktop – A Windows-based application used to create reports and dashboards.
2️⃣ Power BI Service – A cloud-based service for sharing, publishing, and collaborating on reports.
3️⃣ Power BI Mobile – A mobile app for viewing reports on smartphones and tablets.
4️⃣ Power BI Gateway – A bridge to connect on-premises data sources with Power BI services.
5️⃣ Power BI Embedded – A service that allows developers to integrate Power BI capabilities into applications.

Q3: What is the difference between Power BI Desktop and Power BI Service?

👉 Power BI Desktop is used for creating reports, connecting to data sources, and performing data transformations. It is mainly used by data analysts.
👉 Power BI Service is a cloud-based service used for publishing, sharing, and collaborating on reports with other users.

Q4: What are the different types of filters in Power BI?

👉 Power BI provides three main types of filters:
🔹 Report-Level Filters – Applied to all visualizations within a report.
🔹 Page-Level Filters – Applied to all visuals on a specific page.
🔹 Visual-Level Filters – Applied only to a specific visual in the report.

Q5: What is DAX, and how is it used in Power BI?

👉 DAX (Data Analysis Expressions) is a formula language used in Power BI for creating calculated columns, measures, and custom tables. It helps in performing complex calculations and aggregations.
👉 Example DAX function:

Total Sales = SUM(Sales[Amount])
This formula calculates the total sales from the "Sales" table.

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