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1. What is Power BI?
Power BI is a suite of business analytics tools to analyze data and share
insights. To create meaningful reports and dashboards, Power BI
provides a variety of: Data connectors, Data transformation tools,
Visualization options.
2. How do you connect to data sources in Power BI?
Power BI provides a variety of connectors for connecting to different
data sources, including Excel files, SQL Server databases, Azure
services, and many others. To connect to a data source, select the
appropriate connector and select the tables or data to import.
3. What are the different components of Power BI?
Power BI consists of several components which have specific functions
related to data transformation, modeling, and visualization. The
Components of Power BI, Power Query, Power Pivot, Power View,
Power Map, Power BI Desktop.
4. What is DAX and how is it used in Power BI?
Data Analysis Expressions is a formula language to create custom
calculations in Power BI. It is used in measures, calculated columns, and
calculated tables. DAX allows to create Complex calculations,
Hierarchical structures.
5. What are the best practices for creating effective Power BI
reports?
The few best practices for creating effective Power BI reports are: Start
with a clear objective and audience, Select the right visuals for the data
being presented, Using appropriate color schemes and font sizes, Ensure
the report is easy to navigate and interact with.
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6. How do you create a report in Power BI?
To create a Power BI report, first import the data to analyze then create
visualizations. Use the drag-and-drop interface in Power BI Desktop.
After creating visualizations, Add them to a report page and customize
the layout, formatting, and interactivity as needed.
7. How do you share a Power BI report with others?
Power BI reports can be shared with others in a variety of ways:
Publishing to the Power BI service, Embedding in other applications:
Access to the report can be controlled through permissions and security
settings in Power BI.
8. How would you use Power Query to transform data from multiple
tables into a single fact table?
To transform data from multiple tables into a single fact table, use Power
Query to perform the following steps: Import the tables into Power BI
and create relationships between them. Use the Power Query Merge
Queries option to combine the related tables into a single table. Use the
Group By option to aggregate the data. Use the Pivot option to reshape
the data into a flat format.
9. What are the steps required to optimize the Power BI report
performance?
To optimize the Power BI report performance with large data, use the
following techniques: Import data into Power BI using DirectQuery Use
the Query Reduction feature in Power Query Use the Import or
DirectQuery mode to reduce the number of calculations Use the
incremental refresh option to limit the amount of data
10. How would you use Power BI to create a drill-through report?
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To create a drill-through report in Power BI, these steps are required,
Create a summary report with high-level data. Create a detailed report
along with underlying data. Create a button or visual in the summary
report to access the detailed report. Set up a filter in the detailed report
Use the Drillthrough feature in Power BI
11. How would you use DAX to create a dynamic calculation that
adjusts based on user selections?
To create a dynamic calculation in DAX, Use the following steps:
Create a measure to use a SWITCH function to evaluate user selections.
Use a slicer or a filter to select the variables used in the SWITCH
function. Use a disconnected table to create a list of options to select
from. Use a SELECTEDVALUE function to retrieve the user selection
12. How to use Power BI for creating a dynamic visual?
Power BI is used to create a dynamic visual using the below steps: Use a
DAX formula to create the measure and calculate the value to be
displayed in the visual. Use a slicer or a filter to select the variables used
in the DAX formula. Use the Visual Level Filters feature in Power BI to
apply the slicer or filter. Use the Sync Slicers feature in Power BI to
synchronize the slicer or filter across multiple visuals.
13. State the uses of Power BI?
The important uses of Power BI are: Power BI is used to analyze sales
and marketing data. It helps to identify trends and opportunities for
growth. To track key performance indicators, power BI allows to create
financial reports and dashboards. Power BI assures monitoring
operational data in real-time to identify potential issues. Sharing data
and insights with team members using interactive reports,dashboards by
Power BI. Power BI can combine data from multiple sources.
14. What is self service BI?
Self-service BI refers to a process in which business users are
empowered to create their own reports and analysis. This approach is
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useful to: Access and analyze data in real-time, Better decisions, Gain
insights to better business outcomes. Self-service BI tools like Power BI,
Tableau, and QlikView provide an intuitive user interface. It helps to
connect to data sources, manipulate data, create reports, visualizations,
and share with others.
15. Mention the Power BI versions?
The various versions of Power BI are: Power BI Desktop - free,
downloadable application for Windows. Power BI Pro - Paid version of
Power BI with additional features like data collaboration and sharing
capabilities. Power BI Premium - Advanced version of Power BI with
additional features such as increased data capacity and higher refresh
rates. Power BI Mobile - Mobile app for iOS and Android devices.
Power BI Report Server - On-premises solution for creating, publishing
and managing Power BI reports.
16. What are the advantages of Power BI?
The Advantages of Power BI are: Data visualization: Power BI allows
you to create dynamic and interactive data visualizations. Integration
with various data sources: Power BI can connect to a wide range of data
sources. Self-service BI: Power BI allows users to create their own
reports and analysis. Collaboration: Power BI helps share reports and
dashboards with others. Security: Power BI offers robust security
features to secure the sensitive data. Cost-effective: Power BI offers a
range of pricing options.
17. What is Power pivot?
Power Pivot is a data modeling tool used to Create complex data models
Perform powerful data analysis Create relationships between data from
different sources Perform data analysis and aggregation Import large
data sets from multiple sources.
18. State the key features of Power BI
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Key features of Power BI: Data connectivity: Power BI Desktop allows
to connect to a wide range of data sources and cloud-based sources. Use
the Query Editor to perform Data transformation. Data modeling: Power
BI is used to create relationships between tables and create calculated
columns and measures. Power BI Desktop offers a range of visualization
types, including charts, tables, maps, and custom visualizations. Users
can create interactive reports with drill-down functionality and filters to
allow for exploration of data. Reports can be shared with others through
the Power BI service.
19. What is Power BI Query Editor?
Power BI Query Editor is a powerful tool within Power BI Desktop. It is
used to clean, shape, and transform the data. It is a valuable tool to
create powerful visualizations and reports for Business analysts, Data
analysts, To work with data.
20. Mention the different visualizations available in Power BI?
Power BI offers a wide range of visualizations to represent data in an
interactive and meaningful way. Column chart, Bar chart Line chart,
Area chart Pie chart, Donut chart Scatter chart, Bubble chart Map chart,
Gauge chart
21. State about the language used in Power Query
M is a functional programming language used to define data
transformations in Power Query. It allows the creation of custom
functions and expressions to manipulate and transform data. M is a
powerful language to perform complex data transformations.
22. What is Power BI Designer?
Power BI Designer is a desktop-based application to create and publish
Power BI reports. It is a standalone application to be downloaded and
installed on a Windows-based machine. It is designed to provide a
simplified experience for creating and editing Power BI reports.
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23. What are the important features of Power BI?
The important features of Power BI are: Data modeling and
transformation Data visualization Data exploration Collaboration Mobile
accessibility Integration with other tools
24. Mention some applications of Power BI?
Applications of Power BI are: To track sales performance, marketing
campaigns, customer segmentation, and other key metrics. Analyze
financial data, including revenue, expenses, profit margins, cash flow,
and other financial metrics. Tracking inventory levels, shipping times,
delivery performance, and other key metrics in the supply chain. To
perform HR Analytics to improve employee engagement, retention, and
productivity. Analyze patient data, clinical outcomes, and healthcare
costs to improve healthcare quality. Track student performance,
enrollment trends, and other key metrics in education.
25. What is Power BI Services?
Power BI Services is a cloud-based business analytics service to easily
create and share dashboards and reports. It offers several features to
collaborate on reports and visualizations like: Data Sharing
Collaboration Data Refresh Security Mobile Access Custom
Visualizations

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powerbiinterviewquestionsandanswers-credosystemz-230822125042-f337ae98.pdf

  • 2. Page 2 1. What is Power BI? Power BI is a suite of business analytics tools to analyze data and share insights. To create meaningful reports and dashboards, Power BI provides a variety of: Data connectors, Data transformation tools, Visualization options. 2. How do you connect to data sources in Power BI? Power BI provides a variety of connectors for connecting to different data sources, including Excel files, SQL Server databases, Azure services, and many others. To connect to a data source, select the appropriate connector and select the tables or data to import. 3. What are the different components of Power BI? Power BI consists of several components which have specific functions related to data transformation, modeling, and visualization. The Components of Power BI, Power Query, Power Pivot, Power View, Power Map, Power BI Desktop. 4. What is DAX and how is it used in Power BI? Data Analysis Expressions is a formula language to create custom calculations in Power BI. It is used in measures, calculated columns, and calculated tables. DAX allows to create Complex calculations, Hierarchical structures. 5. What are the best practices for creating effective Power BI reports? The few best practices for creating effective Power BI reports are: Start with a clear objective and audience, Select the right visuals for the data being presented, Using appropriate color schemes and font sizes, Ensure the report is easy to navigate and interact with.
  • 3. Page 3 6. How do you create a report in Power BI? To create a Power BI report, first import the data to analyze then create visualizations. Use the drag-and-drop interface in Power BI Desktop. After creating visualizations, Add them to a report page and customize the layout, formatting, and interactivity as needed. 7. How do you share a Power BI report with others? Power BI reports can be shared with others in a variety of ways: Publishing to the Power BI service, Embedding in other applications: Access to the report can be controlled through permissions and security settings in Power BI. 8. How would you use Power Query to transform data from multiple tables into a single fact table? To transform data from multiple tables into a single fact table, use Power Query to perform the following steps: Import the tables into Power BI and create relationships between them. Use the Power Query Merge Queries option to combine the related tables into a single table. Use the Group By option to aggregate the data. Use the Pivot option to reshape the data into a flat format. 9. What are the steps required to optimize the Power BI report performance? To optimize the Power BI report performance with large data, use the following techniques: Import data into Power BI using DirectQuery Use the Query Reduction feature in Power Query Use the Import or DirectQuery mode to reduce the number of calculations Use the incremental refresh option to limit the amount of data 10. How would you use Power BI to create a drill-through report?
  • 4. Page 4 To create a drill-through report in Power BI, these steps are required, Create a summary report with high-level data. Create a detailed report along with underlying data. Create a button or visual in the summary report to access the detailed report. Set up a filter in the detailed report Use the Drillthrough feature in Power BI 11. How would you use DAX to create a dynamic calculation that adjusts based on user selections? To create a dynamic calculation in DAX, Use the following steps: Create a measure to use a SWITCH function to evaluate user selections. Use a slicer or a filter to select the variables used in the SWITCH function. Use a disconnected table to create a list of options to select from. Use a SELECTEDVALUE function to retrieve the user selection 12. How to use Power BI for creating a dynamic visual? Power BI is used to create a dynamic visual using the below steps: Use a DAX formula to create the measure and calculate the value to be displayed in the visual. Use a slicer or a filter to select the variables used in the DAX formula. Use the Visual Level Filters feature in Power BI to apply the slicer or filter. Use the Sync Slicers feature in Power BI to synchronize the slicer or filter across multiple visuals. 13. State the uses of Power BI? The important uses of Power BI are: Power BI is used to analyze sales and marketing data. It helps to identify trends and opportunities for growth. To track key performance indicators, power BI allows to create financial reports and dashboards. Power BI assures monitoring operational data in real-time to identify potential issues. Sharing data and insights with team members using interactive reports,dashboards by Power BI. Power BI can combine data from multiple sources. 14. What is self service BI? Self-service BI refers to a process in which business users are empowered to create their own reports and analysis. This approach is
  • 5. Page 5 useful to: Access and analyze data in real-time, Better decisions, Gain insights to better business outcomes. Self-service BI tools like Power BI, Tableau, and QlikView provide an intuitive user interface. It helps to connect to data sources, manipulate data, create reports, visualizations, and share with others. 15. Mention the Power BI versions? The various versions of Power BI are: Power BI Desktop - free, downloadable application for Windows. Power BI Pro - Paid version of Power BI with additional features like data collaboration and sharing capabilities. Power BI Premium - Advanced version of Power BI with additional features such as increased data capacity and higher refresh rates. Power BI Mobile - Mobile app for iOS and Android devices. Power BI Report Server - On-premises solution for creating, publishing and managing Power BI reports. 16. What are the advantages of Power BI? The Advantages of Power BI are: Data visualization: Power BI allows you to create dynamic and interactive data visualizations. Integration with various data sources: Power BI can connect to a wide range of data sources. Self-service BI: Power BI allows users to create their own reports and analysis. Collaboration: Power BI helps share reports and dashboards with others. Security: Power BI offers robust security features to secure the sensitive data. Cost-effective: Power BI offers a range of pricing options. 17. What is Power pivot? Power Pivot is a data modeling tool used to Create complex data models Perform powerful data analysis Create relationships between data from different sources Perform data analysis and aggregation Import large data sets from multiple sources. 18. State the key features of Power BI
  • 6. Page 6 Key features of Power BI: Data connectivity: Power BI Desktop allows to connect to a wide range of data sources and cloud-based sources. Use the Query Editor to perform Data transformation. Data modeling: Power BI is used to create relationships between tables and create calculated columns and measures. Power BI Desktop offers a range of visualization types, including charts, tables, maps, and custom visualizations. Users can create interactive reports with drill-down functionality and filters to allow for exploration of data. Reports can be shared with others through the Power BI service. 19. What is Power BI Query Editor? Power BI Query Editor is a powerful tool within Power BI Desktop. It is used to clean, shape, and transform the data. It is a valuable tool to create powerful visualizations and reports for Business analysts, Data analysts, To work with data. 20. Mention the different visualizations available in Power BI? Power BI offers a wide range of visualizations to represent data in an interactive and meaningful way. Column chart, Bar chart Line chart, Area chart Pie chart, Donut chart Scatter chart, Bubble chart Map chart, Gauge chart 21. State about the language used in Power Query M is a functional programming language used to define data transformations in Power Query. It allows the creation of custom functions and expressions to manipulate and transform data. M is a powerful language to perform complex data transformations. 22. What is Power BI Designer? Power BI Designer is a desktop-based application to create and publish Power BI reports. It is a standalone application to be downloaded and installed on a Windows-based machine. It is designed to provide a simplified experience for creating and editing Power BI reports.
  • 7. Page 7 23. What are the important features of Power BI? The important features of Power BI are: Data modeling and transformation Data visualization Data exploration Collaboration Mobile accessibility Integration with other tools 24. Mention some applications of Power BI? Applications of Power BI are: To track sales performance, marketing campaigns, customer segmentation, and other key metrics. Analyze financial data, including revenue, expenses, profit margins, cash flow, and other financial metrics. Tracking inventory levels, shipping times, delivery performance, and other key metrics in the supply chain. To perform HR Analytics to improve employee engagement, retention, and productivity. Analyze patient data, clinical outcomes, and healthcare costs to improve healthcare quality. Track student performance, enrollment trends, and other key metrics in education. 25. What is Power BI Services? Power BI Services is a cloud-based business analytics service to easily create and share dashboards and reports. It offers several features to collaborate on reports and visualizations like: Data Sharing Collaboration Data Refresh Security Mobile Access Custom Visualizations