MCQs on Data Modeling and Its Importance in Power BI

1. What is the primary purpose of data modeling in Power BI?

a) To visualize data with charts
b) To structure and organize data for efficient analysis
c) To import data from external sources
d) To create Power BI themes

Answer: b) To structure and organize data for efficient analysis

2. In Power BI, what is used to define relationships between tables?

a) Measures
b) Filters
c) Primary and foreign keys
d) Calculated columns

Answer: c) Primary and foreign keys

3. Which of the following is NOT a benefit of data modeling in Power BI?

a) Improves data analysis efficiency
b) Increases data redundancy
c) Enhances report scalability
d) Simplifies complex queries

Answer: b) Increases data redundancy

4. What type of schema is commonly used in Power BI for data modeling?

a) Star schema
b) Line schema
c) Circular schema
d) Tree schema

Answer: a) Star schema

5. Which of the following Power BI features relies heavily on a strong data model?

a) Data visualization
b) Time intelligence functions
c) Page layout settings
d) Themes and formatting

Answer: b) Time intelligence functions

6. Why is it important to avoid many-to-many relationships in a Power BI data model?

a) It reduces data storage capacity.
b) It creates duplicate records.
c) It can lead to ambiguous calculations and performance issues.
d) It is not supported by Power BI.

Answer: c) It can lead to ambiguous calculations and performance issues.

7. What is a calculated column in Power BI?

a) A column imported directly from the data source
b) A column created by applying DAX expressions to perform row-level calculations
c) A column that defines relationships between tables
d) A column used only for formatting purposes

Answer: b) A column created by applying DAX expressions to perform row-level calculations

8. Which component in a data model helps to analyze trends over time?

a) Relationships
b) Calendar or date table
c) Filters
d) Aggregates

Answer: b) Calendar or date table

9. What is the key advantage of using a star schema in Power BI data modeling?

a) It eliminates the need for relationships.
b) It simplifies queries and improves performance.
c) It creates more visual options for dashboards.
d) It avoids the need for calculated measures.

Answer: b) It simplifies queries and improves performance.

10. How does data modeling contribute to minimizing errors in Power BI reports?

a) By automatically correcting data errors
b) By defining clear relationships and transformations upfront
c) By creating visuals without user input
d) By disabling unsupported data types

Answer: b) By defining clear relationships and transformations upfront

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