What does the acronym DAX stand for in Power BI?

• A) Data Analytics Xtension
• B) Data Analysis Xpressions
• C) Deutscher Aktien Index
• D) Data Analysis Expressions

How can you reference a variable named "Salary" in Power BI's custom column function?

• A) Salary()
• B) [Salary]
• C) Salary{}
• D) @Salary

In Power BI, when working with conditional expressions, what does the term "slab" typically represent?

• A) A measure of temperature
• B) A specific database table
• C) A range of values with different rates
• D) A type of data source

What is the primary purpose of the "Power Query Editor" in Power BI?

• A) To generate DAX measures
• B) To clean, transform, and shape data before loading it into the model
• C) To apply conditional formatting
• D) To create visualizations

What is the primary purpose of using cards in Power BI?

• A) To create detailed visualizations.
• B) To represent complex data structures.
• C) To display graphs and charts.
• D) To showcase key numerical figures without using graphs or charts.

What happens to the measures created in Power BI after the session is closed?

• A) They become part of a new column
• B) They are permanently saved in the data model
• C) They are stored separately as entries
• D) They are eliminated and not saved

When applying conditional formatting to a variable like income in Power BI, which visual options are available?

• A) Only numeric values
• B) Data bars, color scales, and icons
• C) Only bars
• D) Only icons

What is the primary purpose of the "Append Queries" option in Power BI?

• A) To remove duplicates from a dataset
• B) To combine data from two or more tables by stacking rows
• C) To join two queries based on a common column
• D) To add new calculated columns

In geographical analysis using Power BI, what type of data can be imported onto the map?

• A) Geographical data without latitude or longitude but with general location names.
• B) Geographical data with both latitude and longitude coordinates.
• C) Geographical data with only latitude coordinates.
• D) Geographical data with only longitude coordinates.

What is the primary limitation when exporting a Power BI dashboard as a static image (PDF, JPEG, etc.)?

• A) Data becoming inaccurate over time.
• B) Loss of interactivity and ability to analyze data.
• C) Large file sizes that slow down performance.
• D) Compatibility issues with different devices or software.

What is the primary challenge when trying to transform data in Power BI?

• A) Understanding the data types of variables
• B) Knowing the exact sequence of data transformation
• C) Ensuring that all variables are highlighted
• D) Identifying the correct data transformation function

Which button is used to access the data editor in Power BI?

• A) Editor
• B) Transformation
• C) Transform Data
• D) Add Column

What does the col parameter in a plot function control?

• A) Plot title
• B) Data types
• C) Column names
• D) Color of the graph

What can be done after identifying outliers in R?

• A) Export them as images
• B) Remove them from the data set
• C) Always multiply their values by 2
• D) Rename the dataset

What is a good practice when installing R?

• A) Always choose the latest version
• B) Avoid reading instructions
• C) Turn off antivirus software
• D) Skip unnecessary files

Which plot is used in R to visualize outliers?

• A) Box plot
• B) Pie chart
• C) Line chart
• D) Bar plot

How can users make a graph more informative in R?

• A) Removing all labels
• B) Hiding axis values
• C) Customizing axis labels
• D) Reducing graph size

What is the primary advantage of using variables in R?

• A) Variables replace the need for using the R help file.
• B) Variables make it easier to download and install R modules.
• C) Variables allow you to combine functions in R.
• D) Variables help you remember and reuse specific values.

How does R commonly treat data within a database?

• A) HTML files
• B) Vectors or matrices
• C) Images
• D) Charts only

What does the term "CRAN" stand for in the context of R programming?

• A) Centralized R Application Node
• B) Coded R Analytical Network
• C) Comprehensive R Archive Network
• D) Complete R Access Network