PL 300 Microsoft Power BI Data Analyst Interview Questions Answers

Unlock your potential with the PL-300: Microsoft Power BI Data Analyst training. Gain expertise in data modeling, visualization, and advanced analytics to transform data into actionable insights. This comprehensive course covers Power BI Desktop, Power BI Service, and DAX functions, preparing you for the PL-300 certification exam. Enhance your career prospects and become a certified Power BI Data Analyst with our hands-on, instructor-led training. Enroll now to advance your data analytics skills!

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The PL- 300 Microsoft Power BI Data Analyst Training course is designed for professionals seeking to enhance their skills in data analysis using Power BI. Participants will learn to connect and transform data from multiple sources, and craft interactive visualizations. The course also covers advanced analytical techniques such as AI insights and the use of DAX formulas. This comprehensive training prepares attendees to effectively analyze data and deliver insights within their organizations.

PL 300 MS Power BI Data Analyst Intermediate Level Questions

1. What is Power BI?

Power BI is a business analytics tool by Microsoft that enables users to visualize and analyze data. It allows users to connect to various data sources, transform data, and create interactive visualizations and reports.

2. What are the components of Power BI?

Power BI Desktop, Power BI Service (PowerBI.com), Power BI Mobile, Power BI Report Server.

3. What is Power BI Desktop?

Power BI Desktop is a free desktop application that allows users to create reports and dashboards by connecting to various data sources, transforming data, and building visualizations.

4. Explain the difference between a report and a dashboard in Power BI.

A report is a collection of visualizations and data that is created in Power BI Desktop. A dashboard is a single-page collection of visuals that can come from multiple reports.

5. How do you import data into Power BI?

In Power BI Desktop, you can import data by clicking on the "Get Data" button on the Home tab and selecting the desired data source.

6. What is Power Query in Power BI?

Power Query is a data connection technology that enables users to discover, connect, combine, and refine data across various sources.

7. What are some common data sources that Power BI can connect to?

Excel, SQL Server, SharePoint, Salesforce, Google Analytics, Azure, and many others.

8. What is DAX in Power BI?

DAX (Data Analysis Expressions) is a formula language used in Power BI for creating custom calculations and expressions in Power BI Desktop.

9. What is the difference between calculated columns and measures in Power BI?

Calculated columns are computed at the row level and stored in the data model, whereas measures are calculations performed at runtime on aggregated data.

10. Explain the concept of relationships in Power BI.

Relationships define how tables are connected or related to each other based on common fields, allowing users to combine data from multiple tables in visualizations and analyses.

11. How do you create a calculated column in Power BI?

In Power BI Desktop, you can create a calculated column by selecting the table, clicking on "Modeling" in the ribbon, and then clicking on "New Column." You can then enter the DAX formula for the calculated column.

12. What is a slicer in Power BI?

A slicer is a visualization element that allows users to filter data interactively by selecting specific values from a list.

13. What is the difference between a slicer and a filter in Power BI?

A slicer is a visual element that allows users to select values to filter the entire report, while a filter is applied to specific visualizations or elements within the report.

14. What is the Power BI service?

Power BI service, also known as PowerBI.com, is a cloud-based service by Microsoft for sharing, collaborating, and publishing Power BI reports and dashboards.

15. How do you publish a report from Power BI Desktop to Power BI service?

In Power BI Desktop, click on the "Publish" button in the Home tab, sign in to your Power BI account, choose the workspace, and click "Select."

16. What is Power BI Gateway?

Power BI Gateway is a bridge that allows Power BI to connect to on-premises data sources securely. It enables scheduled data refreshes for on-premises data in Power BI Service.

17. What is Power BI Mobile?

Power BI Mobile is a mobile app that allows users to view, interact with, and share Power BI reports and dashboards on mobile devices.

18. How do you schedule data refresh in Power BI Service?

In Power BI Service, go to the dataset settings, select "Scheduled Refresh," and set up the refresh schedule according to your requirements.

19. What is the difference between Power BI Report Server and Power BI Service?

Power BI Report Server is an on-premises report server that allows organizations to host and manage Power BI reports locally, whereas Power BI Service is a cloud-based platform provided by Microsoft.

20. How do you share a Power BI report with someone who doesn't have a Power BI license?

You can share a Power BI report by publishing it to the web and generating an embed code, which can be shared with anyone to view the report without requiring a Power BI license.

PL 300 MS Power BI Data Analyst Advance Level Questions

1. What is DAX in Power BI, and why is it important?

Answer: DAX (Data Analysis Expressions) is a formula language used in Power BI for creating custom calculations and aggregations. It is essential because it allows users to create complex calculations and perform advanced data analysis, providing deeper insights into data.

2. How can you optimize the performance of a Power BI report?

Answer: To optimize Power BI report performance, you can reduce the data load by filtering unnecessary data, optimize DAX calculations, use aggregations, manage relationships efficiently, and ensure that data models are well-structured.

3. Explain the difference between calculated columns and measures in Power BI.

Answer: Calculated columns are computed during data load and stored in the data model, impacting storage size. Measures are calculated on the fly during query time and do not increase the data model size. Measures are more efficient for dynamic calculations.

4. What are the different types of filters in Power BI?

Answer: Power BI supports various filters including visual-level filters, page-level filters, report-level filters, and drill-through filters. These filters help in narrowing down the data shown in reports at different granularities.

5. How do you implement row-level security (RLS) in Power BI?

Answer: RLS is implemented by defining roles and rules in the Power BI Desktop. You create roles with DAX expressions to filter data and assign users to these roles. When published, users can only see the data allowed by their roles.

6. What is the purpose of using the Query Editor in Power BI?

Answer: The Query Editor, part of Power Query, is used to connect, clean, transform, and shape data before loading it into the Power BI model. It allows users to perform ETL (Extract, Transform, Load) operations without affecting the original data source.

7. Can you explain the concept of Power BI Service and its benefits?

Answer: Power BI Service is an online service for sharing, collaborating, and consuming Power BI reports and dashboards. Benefits include real-time data access, collaboration features, mobile accessibility, and centralized data management and security.

8. Describe a scenario where you would use a Power BI gateway.

Answer: A Power BI gateway is used to connect on-premises data sources to the Power BI Service. For example, if you need to refresh a report with data from an on-premises SQL Server database, a gateway will securely transfer data to Power BI Service.

9. How do you handle data relationships in Power BI?

Answer: Data relationships are managed in the Data Model view. You can define relationships between tables by matching key columns. It’s important to use the correct cardinality (one-to-one, one-to-many, many-to-many) and cross-filter direction to ensure accurate data representation.

10. What are Power BI custom visuals, and how do you create them?

Answer:

 Custom visuals are user-defined visualizations that can be added to Power BI reports to enhance data representation. They can be created using tools like Power BI Developer Tools and languages like TypeScript and D3.js, then imported into Power BI for use.

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