Question 1

What is the primary purpose of the Unpivot feature in Power Query?

Accepted Answer

To convert columns to rows

Answer

To filter data based on conditions

Answer

To sort data alphabetically

Answer

To convert rows to columns

Question 2

Which scenario is most suitable for using the Pivot feature?

Accepted Answer

Transforming sales data by region

Answer

Filtering out duplicate records

Answer

Splitting a dataset into multiple tables

Answer

Combining multiple data sources

Question 3

How does pivoting data in Power Query help in data analysis?

Accepted Answer

Simplifies data comparison

Answer

Hides important data points

Answer

Complicates the data structure

Answer

Increases data redundancy

Question 4

What is a common use case for unpivoting data?

Accepted Answer

Normalizing data for analysis

Answer

Creating visual dashboards

Answer

Securing data for privacy

Answer

Aggregating data for reports

Question 5

Which step is essential before using the Unpivot feature?

Accepted Answer

Identifying columns to unpivot

Answer

Aggregating data

Answer

Merging datasets

Answer

Encrypting sensitive information

Question 6

How can unpivoting data resolve issues with double headers?

Accepted Answer

Converts header rows to fields

Answer

Filters out unnecessary data

Answer

Adds additional columns

Answer

Splits data into separate tables

Question 7

What is a key benefit of using Pivot in Power Query for reporting?

Accepted Answer

Easier creation of summary tables

Answer

Limited data visibility

Answer

More complex data manipulation

Answer

Increased file size

Question 8

Which data transformation task can be simplified using the Unpivot feature?

Accepted Answer

Cleaning up nested data structures

Answer

Enhancing data visualization

Answer

Integrating third-party data sources

Answer

Encrypting data for security

Question 9

What is a common mistake to avoid when using the Pivot feature?

Accepted Answer

Overlooking duplicate values

Answer

Forgetting to save changes

Answer

Ignoring data formatting rules

Answer

Using incorrect data types

Question 10

How does unpivoting help in preparing data for machine learning models?

Accepted Answer

Normalizes features

Answer

Simplifies the training process

Answer

Enhances model complexity

Answer

Aggregates target variables

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