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Power BI MCQ Questions

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

When importing a CSV file, Power BI shows the first row as column names by default. Which action ensures proper column naming if the first row is not headers?

a)

Promote headers

b)

Rename columns manually

c)

Change data type

d)

Remove duplicates

2.

If a column contains repeated values that you want to standardize, which feature in Power Query can you use?

a)

Remove duplicates

b)

Group by

c)

Split column

d)

Replace values

3.

You notice your dataset has extra blank columns. What is the best practice to prepare the data for analysis?

a)

Leave them as they are

b)

Remove unnecessary columns

c)

Promote headers

d)

Rename columns

4.

When should you rename columns in Power BI?

a)

Only after creating visuals

b)

To make the dataset more readable and understandable

c)

It is optional and has no effect

d)

Only for date columns

5.

Which transformation allows you to convert rows into columns for easier analysis?

a)

Merge queries

b)

Append queries

c)

Pivot

d)

Split column

6.

John has a table where one column shows year and month in “YYYYMM” format. He wants to create a proper date column. Which Power Query transformation should he use?

a)

Change data type to date

b)

Add column from examples

c)

Split column by number of characters

d)

Remove duplicates

7.

Maria wants to remove all rows where the “Sales Amount” is blank. Which Power Query action should she apply?

a)

Remove errors

b)

Filter rows

c)

Group by

d)

Pivot column

8.

A retail company’s dataset has multiple errors in the “Customer Email” column. Some emails are missing, others are duplicates. What steps should the analyst take first in Power Query?

a)

Promote headers → Remove duplicates → Remove errors

b)

Remove unnecessary columns → Change data type → Merge queries

c)

Append queries → Group by → Create index

d)

Pivot column → Split column → Rename columns

9.

An analyst is combining sales data from three branches into one table. Which Power Query feature should they use?

a)

Merge Queries

b)

Append Queries

c)

Pivot

d)

Group By

10.

Why is it important to set correct data types in Power Query?

a)

To improve report design

b)

To ensure accurate calculations and analysis

c)

To create dashboards

d)

To merge queries

11.

Which data source allows Power BI to connect directly to relational tables using queries?

a)

Web

b)

PDF

c)

SQL Database

d)

Image files

12.

You want to automatically create a sequential numbering column in Power Query. Which feature should you use?

a)

Index Column

b)

Conditional Column

c)

Group By

d)

Pivot Column

13.

A sales manager wants to see total revenue per region. The dataset has multiple sales transactions per region. Which steps should an analyst take?

a)

Remove duplicates → Append queries

b)

Pivot region column → Aggregate values

c)

Merge queries → Remove errors

d)

Create conditional column → Change data type

14.

When grouping data by “Product Category,” which aggregation could you apply to see total sales?

a)

Count rows

b)

Sum of sales

c)

Average of sales

d)

All of the above

15.

A company wants to forecast customer churn. They ask, “How many customers are likely to cancel next month?” Which type of analysis is required?

a)

Descriptive

b)

Diagnostic

c)

Predictive

d)

Prescriptive

16.

Jane wants to highlight sales above $10,000 in a new column as “High” and others as “Low.” Which Power Query action should she use?

a)

Group By

b)

Conditional Column

c)

Merge Queries

d)

Append Queries

17.

Which Power Query M function combines two tables based on a common column?

a)

Table.Combine

b)

Table.Join

c)

Table.Pivot

d)

Table.AddColumn

18.

Case Study – Numeric vs Text A financial analyst receives a sales dataset where the “Quantity Sold” column is imported as text. When she tries to sum it to calculate total sales, the result is incorrect. She also notices that some rows have letters accidentally typed in. What should she do in Power Query?

a)

Change the column to Date/Time

b)

Change the column to Number and remove invalid text rows

c)

Keep as Text to preserve all values

d)

Convert to Boolean

19.

A financial analyst finds “NULL” values in a revenue column. To replace them with the average revenue, which transformation is most appropriate?

a)

Merge Queries

b)

Remove Errors

c)

Replace Values

d)

Pivot Column

20.

A company wants to consolidate monthly sales tables for January, February, and March into a single table. Which Power Query feature should they use?

a)

Merge Queries

b)

Append Queries

c)

Pivot Column

d)

Group By