Mastering Power BI Concepts

What is the purpose of data visualization in Power BI?

• To create complex data models without visualization.

• To store data securely in the cloud.

• To automate data entry processes.

• The purpose of data visualization in Power BI is to make data understandable and actionable through visual representation.

Name three common data visualization techniques used in Power BI.

• scatter plots

• tree maps

• heat maps

• bar charts, line charts, pie charts

What does DAX stand for in Power BI?

• Data Access Xpressions

• Data Analysis Expressions

• Data Aggregation Expressions

• Data Analysis XML

Explain the difference between calculated columns and measures in DAX.

• Calculated columns are always aggregated values, while measures are not.

• Calculated columns are row-level calculations stored in the model, while measures are context-dependent calculations performed at query time.

• Measures are stored in the model, while calculated columns are computed at query time.

• Calculated columns can only be used in visuals, while measures can be used in calculations.

What is the role of the Power Query Editor in Power BI?

• The Power Query Editor is used for data transformation and preparation in Power BI.

• The Power Query Editor is a tool for writing DAX formulas in Power BI.

• The Power Query Editor is responsible for managing user permissions in Power BI.

• The Power Query Editor is used for creating visualizations in Power BI.

How can you transform data using Power Query Editor?

• You can transform data by filtering, merging, appending, pivoting, and changing data types in Power Query Editor.

• Power Query Editor is used solely for data visualization.

• Data can only be transformed using Excel formulas.

• You can only filter data in Power Query Editor.

What is a slicer in Power BI and how is it used?

• A slicer is a type of chart in Power BI.

• A slicer is a data export tool in Power BI.

• A slicer is a report sharing feature in Power BI.

• A slicer is an interactive filter in Power BI that allows users to segment and filter data in reports.

Describe how to create a drill-through feature in an interactive dashboard.

• Create a static report without interactivity.

• Use a pie chart to display all data points.

• Implement an event listener on data points to link to a detailed view, passing relevant context.

• Add a button to export data as CSV.

What is the significance of relationships in Power BI data models?

• Relationships have no impact on data analysis capabilities.

• Relationships are used solely for data storage optimization.

• Relationships enable data integration and analysis across multiple tables in Power BI.

• Relationships only affect visual formatting in reports.

How can you share a Power BI dashboard with others?

• Publish to Power BI service and use the 'Share' feature.

• Email the dashboard as an attachment.

• Post the dashboard link on social media.

• Export the dashboard as a PDF and distribute it.