Business Intelligence Using Power BI
Question
Bank
Unit 1: Introduction to Power BI
1.
Trace the historical development of Power BI
and discuss how it contributes to modern Business Intelligence practices.
2.
Describe the major capabilities and
functionalities that make Power BI an effective BI tool.
3.
Examine the differences between Power BI Desktop
and Power BI Service in terms of usage and purpose.
4.
Discuss the roles performed by various data
professionals such as Data Analyst, Data Engineer, Power BI Developer, and
Data Scientist within an analytics environment.
5.
Illustrate how Power BI supports organizations in analyzing
data and presenting insights through visualization techniques.
Unit 2: Data Acquisition and Transformation
1.
Explain how different basic visual charts
can be created in Power BI and discuss their practical applications.
2.
Describe the purpose of the Power Query Editor
and outline the steps involved in transforming raw data.
3.
Discuss the concept of DAX (Data Analysis
Expressions) and explain how it is used for calculations using any dataset.
4.
Analyze the different types of data sources
that can be connected to Power BI for data acquisition.
5.
Explain the procedure for establishing connections
between Power BI and cloud storage datasets (Drive) as well as web-based
data sources.
6.
Discuss the importance of the Transform Data
feature and how it supports data preparation.
7.
Explain how new fields can be created using Custom
Columns and describe the role of Conditional Columns in data
transformation.
8.
Describe the structure and functions of the Visualizations
Pane in Power BI.
9.
Explain the purpose and key formatting options
available in the Format Pane.
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