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๐Ÿš€ Data Analytics Interview Questions & Answers โ€“ Power BI (Part 3) ๐Ÿ“Š๐Ÿ”ฅ

66. What is Power BI?

Answer:

Power BI is a Business Intelligence (BI) tool developed by Microsoft that helps users connect, transform, analyze, and visualize data through interactive dashboards and reports.

Key Features:

โœ” Data Visualization

โœ” Dashboard Creation

โœ” Data Modeling

โœ” DAX Calculations

โœ” Data Sharing

67. Difference Between Power BI Desktop and Power BI Service

Feature | Power BI Desktop | Power BI Service

Purpose | Used to build reports | Used to share reports

Platform | Installed locally | Cloud-based

Main Use | Data modeling | Collaboration

Cost | Free | Requires licensing for advanced features

68. What is DAX?

Answer:

DAX (Data Analysis Expressions) is the formula language used in Power BI.

Used for:

โœ” Measures

โœ” Calculated Columns

โœ” Calculated Tables

Example:

Total Sales = SUM(Sales[SalesAmount])


69. What is Power Query?

Answer:

Power Query is Power BI's ETL tool.

ETL : Extract, Transform, Load

Used for:

โœ” Data Cleaning

โœ” Data Transformation

โœ” Data Integration

โœ” Data Preparation

Common Tasks:

Remove duplicates, Split columns, Merge tables, Replace values

70. What are Calculated Columns?

Answer:

Calculated Columns create new columns using DAX.

Example: Profit = Sales[Revenue] - Sales[Cost]

Stored in the data model.

71. Difference Between Measures and Calculated Columns

Feature | Measure | Calculated Column

Calculation | Calculated on demand | Stored in model

Behavior | Dynamic | Static

Memory | Uses less memory | Uses more memory

Usage | Used in visuals | Used in rows

Example Measure:

Total Sales = SUM(Sales[Amount])
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