Quiz 2026 Microsoft PL-300: Microsoft Power BI Data Analyst Perfect Study Group

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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Model the Data25-30%- Optimize model performance
  • 1. Configure aggregations
  • 2. Validate performance and resolve issues
  • 3. Optimize Dax queries
  • 4. Improve user experience by hiding objects
  • 5. Optimize DirectQuery models
- Design a data model
  • 1. Resolve performance issues with relationships
  • 2. Implement row-level security
  • 3. Apply field metadata and groupings
  • 4. Define tables and table schemas
  • 5. Design a star schema or snowflake schema
  • 6. Determine the appropriate granularity
- Develop the data model
  • 1. Use the calculation group feature
  • 2. Create calculated tables and columns
  • 3. Implement row-level security roles
  • 4. Create common date tables
  • 5. Configure table relationships
  • 6. Build hierarchies and hierarchical fields
- Create measures and DAX calculations
  • 1. Create semi-additive measures
  • 2. Implement context transition
  • 3. Use Time Intelligence functions
  • 4. Use CALCULATE and FILTER functions
  • 5. Create calculated measures
  • 6. Write and use basic DAX syntax
Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Identify patterns and trends
  • 2. Apply Quick Insights
  • 3. Generate Pinn visual insights
  • 4. Use the Q&A visual
  • 5. Configure auto-insights
- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Use the Decomposition Tree visual
  • 3. Define and monitor KPIs
  • 4. Create metrics using Microsoft measurements
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Manage dataset refresh scheduling
  • 2. Configure dataset metadata and properties
  • 3. Resolve dataset permission issues
  • 4. Manage gateways and data sources
- Create and manage workspaces
  • 1. Endorse sensitive content with sensitivity labels
  • 2. Configure workspace membership and roles
  • 3. Publish and update a Power BI app
  • 4. Configure content certification
Visualize the Data25-30%- Build visuals
  • 1. Apply AI insights and enhanced analytics
  • 2. Determine the appropriate visual type
  • 3. Configure visual interactions and cross-filtering
  • 4. Apply sorting and filtering to visuals
  • 5. Format and configure pages and report backgrounds
  • 6. Configure data colors and shapes
- Enhance reports for user experience
  • 1. Add tooltips and navigation
  • 2. Design for mobile and specific layouts
  • 3. Apply artistic formatting to visuals
  • 4. Add accessibility features and compliance
- Enrich reports with advanced visuals
  • 1. Integrate Microsoft Copilot for Power BI
  • 2. Create custom visuals
  • 3. Configure R and Python visuals
  • 4. Use dynamic page navigation
Prepare the Data10-15%- Get data from various data sources
  • 1. Identify and connect to a data source
  • 2. Change data source settings
  • 3. Configure dataset refresh
  • 4. Choose between DirectQuery, Import, and Dual storage modes
  • 5. Select a shared dataset or create a local copy
  • 6. Use Microsoft Fabric and OneLake
- Clean, transform, and load the data
  • 1. Configure data loading and queries
  • 2. Design and build intermediate tables
  • 3. Resolve data quality issues
  • 4. Apply user-friendly naming conventions to columns and tables
  • 5. Determine proper data types
  • 6. Identify the data structure
  • 7. Profile the data

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Microsoft Power BI Data Analyst Sample Questions (Q236-Q241):

NEW QUESTION # 236
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You need to add a new column to the Product Subcategory table that uses the following formula.
=if [Subcategory] =null then "NA" else [Subcategory]
Which command should you use in Query Editor?

Answer: D

Explanation:
Explanation
References:
http://community.powerbi.com/t5/Desktop/if-then-else/td-p/117999


NEW QUESTION # 237
You use Power Query Editor to review a query that contains a column named Country.
You need to view the following information in the Data preview view for the Country column:
* The percentage of values that contain errors.
* The count of empty values.
What should you enable? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 238
You manage a Power BI model has a table named Sales and product.
You need to ensure that a sales team can view only data that has a CountryRegionName value of United States and a ProductCategory value of Clothing.
What should you do from Power BI Desktop?

Answer: B

Explanation:
Reference: https://docs.microsoft.com/en-us/power-bi/power-bi-how-to-report-filter


NEW QUESTION # 239
You use Microsoft Power B1 Desktop to review the data shown in the following exhibit.

Answer:

Explanation:

Explanation:


NEW QUESTION # 240
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
Solution: You create a new query that references DataSourceExcel.
Does this meet the goal?

Answer: A

Explanation:
Instead modify the source step of the queries to use DataSourceExcel as the file path.
Note: Parameterising a Data Source could be used in many different use cases. From connecting to different data sources defined in Query Parameters to load different combinations of columns.
Reference:
https://www.biinsight.com/power-bi-desktop-query-parameters-part-1/


NEW QUESTION # 241
......

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