Questions

1. What percentage of time is generally spent on data cleaning and preparation in a data visualization project?
   1. 20-30%
   2. 50-80%
   3. 10-20%
   4. 80-100%
2. Name three tools provided by Power BI for data preparation.
   1. Power Extract, data integration, data expressions
   2. Power Query, data modeling, SQL queries
   3. Data analytics, Query Editor, data mining
   4. Power Query, data modeling, DAX formulas
3. What is the primary function of Power Query in Power BI?
   1. Creating visualizations
   2. Writing SQL queries
   3. Data transformation and preparation
   4. Building relationships between tables
4. What is DAX, and how is it used in Power BI?
   1. As a data visualization tool
   2. As a programming language
   3. As a formula language for creating calculations and measures
   4. As a data storage format
5. Why was DAX created, and what problem did it aim to solve?
   1. To create charts and graphs
   2. To bridge the gap between relational databases and spreadsheet tools
   3. To replace SQL queries
   4. To handle big data efficiently
6. Explain the dual role of DAX as a formula...