,Power BI Data Analyst Exam Prep 2026 | 400 Practice Questions & Answers with rationales | Data Analytics
Study Guide PDF
Table of Contents
➢ Prepare the Data……………………………………. 2
➢ Model the Data……………………………………. 35
➢ Visualize and analyze the data………………………. 69
➢ Deploy and maintain items…………………………. 102
Prepare the data
1. Which of the following is the first step in the Power BI data preparation process?
A) Load data
B) Clean data
C) Import data
D) Transform data
Correct Answer: C) Import data
Rationale:
Before any transformation, modeling, or visualization can occur, data must first be imported or
connected to Power BI. Importing establishes access to the source data, allowing subsequent
preparation tasks such as cleaning, transforming, and validating the dataset.
2. Which of the following is a common data source for Power BI?
A) Excel
B) SQL Server
C) Azure Data Lake
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power BI supports a wide range of data sources, including Excel workbooks, relational databases
such as SQL Server, and cloud-based storage solutions such as Azure Data Lake. Its extensive
connectivity capabilities enable organizations to consolidate data from multiple systems into a
unified analytics environment.
, 3. What is the primary function of Power Query in Power BI?
A) Data visualization
B) Data transformation
C) Data modeling
D) Data loading
Correct Answer: B) Data transformation
Rationale:
Power Query serves as Power BI's Extract, Transform, and Load (ETL) engine. It allows users to
clean, reshape, combine, and prepare data before it is loaded into the data model for analysis and
reporting.
4. Which of the following actions can be performed in Power Query?
A) Removing duplicates
B) Filtering rows
C) Splitting columns
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power Query provides a comprehensive set of transformation tools, including duplicate removal,
row filtering, column splitting, merging datasets, pivoting data, and many other operations
necessary for preparing high-quality datasets.
5. What does the “Append Queries” operation do in Power Query?
A) Combines data from multiple columns into one
B) Filters rows from a query
C) Combines data from multiple tables into one
D) Creates a new table
Correct Answer: C) Combines data from multiple tables into one
Rationale:
Append Queries vertically combines rows from two or more tables with similar structures. This
operation is commonly used when consolidating monthly, quarterly, or regional datasets into a
single comprehensive table.
, 6. In Power BI, what is the purpose of the “Merge Queries” function?
A) Combine rows from two queries
B) Append data from one query to another
C) Join data from two queries based on a key
D) Filter data from two queries
Correct Answer: C) Join data from two queries based on a key
Rationale:
Merge Queries performs a database-style join between tables using matching columns. This
functionality enables users to enrich datasets by bringing related information together from
different sources.
7. Which of the following data types is supported by Power BI?
A) Date/Time
B) Text
C) Decimal Number
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power BI supports numerous data types, including text, numbers, dates, times, Boolean values,
and currency formats. Proper data typing is essential for accurate calculations, sorting, and
visualization.
8. What is the purpose of data profiling in Power BI?
A) To visualize data
B) To assess the quality and structure of data
C) To transform data
D) To create reports
Correct Answer: B) To assess the quality and structure of data
Rationale:
Data profiling provides insights into data quality by displaying statistics such as column
distributions, unique values, null values, and error counts. This helps analysts identify
inconsistencies and improve data reliability before analysis.
Study Guide PDF
Table of Contents
➢ Prepare the Data……………………………………. 2
➢ Model the Data……………………………………. 35
➢ Visualize and analyze the data………………………. 69
➢ Deploy and maintain items…………………………. 102
Prepare the data
1. Which of the following is the first step in the Power BI data preparation process?
A) Load data
B) Clean data
C) Import data
D) Transform data
Correct Answer: C) Import data
Rationale:
Before any transformation, modeling, or visualization can occur, data must first be imported or
connected to Power BI. Importing establishes access to the source data, allowing subsequent
preparation tasks such as cleaning, transforming, and validating the dataset.
2. Which of the following is a common data source for Power BI?
A) Excel
B) SQL Server
C) Azure Data Lake
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power BI supports a wide range of data sources, including Excel workbooks, relational databases
such as SQL Server, and cloud-based storage solutions such as Azure Data Lake. Its extensive
connectivity capabilities enable organizations to consolidate data from multiple systems into a
unified analytics environment.
, 3. What is the primary function of Power Query in Power BI?
A) Data visualization
B) Data transformation
C) Data modeling
D) Data loading
Correct Answer: B) Data transformation
Rationale:
Power Query serves as Power BI's Extract, Transform, and Load (ETL) engine. It allows users to
clean, reshape, combine, and prepare data before it is loaded into the data model for analysis and
reporting.
4. Which of the following actions can be performed in Power Query?
A) Removing duplicates
B) Filtering rows
C) Splitting columns
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power Query provides a comprehensive set of transformation tools, including duplicate removal,
row filtering, column splitting, merging datasets, pivoting data, and many other operations
necessary for preparing high-quality datasets.
5. What does the “Append Queries” operation do in Power Query?
A) Combines data from multiple columns into one
B) Filters rows from a query
C) Combines data from multiple tables into one
D) Creates a new table
Correct Answer: C) Combines data from multiple tables into one
Rationale:
Append Queries vertically combines rows from two or more tables with similar structures. This
operation is commonly used when consolidating monthly, quarterly, or regional datasets into a
single comprehensive table.
, 6. In Power BI, what is the purpose of the “Merge Queries” function?
A) Combine rows from two queries
B) Append data from one query to another
C) Join data from two queries based on a key
D) Filter data from two queries
Correct Answer: C) Join data from two queries based on a key
Rationale:
Merge Queries performs a database-style join between tables using matching columns. This
functionality enables users to enrich datasets by bringing related information together from
different sources.
7. Which of the following data types is supported by Power BI?
A) Date/Time
B) Text
C) Decimal Number
D) All of the above
Correct Answer: D) All of the above
Rationale:
Power BI supports numerous data types, including text, numbers, dates, times, Boolean values,
and currency formats. Proper data typing is essential for accurate calculations, sorting, and
visualization.
8. What is the purpose of data profiling in Power BI?
A) To visualize data
B) To assess the quality and structure of data
C) To transform data
D) To create reports
Correct Answer: B) To assess the quality and structure of data
Rationale:
Data profiling provides insights into data quality by displaying statistics such as column
distributions, unique values, null values, and error counts. This helps analysts identify
inconsistencies and improve data reliability before analysis.
