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Power BI Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is the primary tool used for data transformation within Power BI Desktop?

a)

DAX Studio

b)

Power Query Editor

c)

Power BI Service

d)

Report View

2.

Which Data Analysis Expressions (DAX) function is typically used to access values from a related table in a Power BI data model?

a)

CALCULATE

b)

SUMX

c)

RELATED

d)

LOOKUPVALUE

3.

What does the acronym DAX stand for in the context of Power BI?

a)

Data Access eXchange

b)

Data Aggregation eXtension

c)

Data Access eXchange

d)

Data Analysis Expressions

4.

As a general guideline for effective data visualization, what is often considered the maximum recommended number of distinct colors to use in a single chart?

a)

2 colors

b)

8 colors

c)

4 colors

d)

12 colors

5.

Which data modeling schema is widely recognized as a best practice for designing efficient and performant Power BI models?

a)

Snowflake schema

b)

Hierarchical schema

c)

Star schema

d)

Fully normalized schema

6.

In Power BI, which type of relationship is generally considered the most efficient and commonly used for connecting fact tables to dimension tables?

a)

One-to-many relationship

b)

Many-to-many relationship

c)

One-to-one relationship

d)

Bi-directional relationship

7.

What is the formula language used within the Power Query Editor for performing advanced data transformations in Power BI?

a)

SQL

b)

Python

c)

M language

d)

R

8.

The "Merge Queries" feature in Power BI's Power Query Editor is most similar in functionality to which feature in Microsoft Excel?

a)

VLOOKUP

b)

PivotTables

c)

Conditional Formatting

d)

Data Validation

9.

What is a primary purpose of performing data profiling in Power BI?

a)

To create interactive visualizations.

b)

To write DAX measures for calculations.

c)

To validate the quality and understand the characteristics of the data.

d)

To establish relationships between tables in the data model.

10.

The "Append Queries" operation in Power BI's Power Query Editor is used to combine data from multiple queries:

a)

Side by side, adding new columns.

b)

Top to bottom, stacking rows together.

c)

Based on matching values in key columns, similar to a join.

d)

By creating a new query with aggregated values.