2026 Latest PL-300 Questions | The Best Microsoft Power BI Data Analyst 100% Free Official Cert Guide

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Microsoft PL-300 Exam Syllabus Topics:

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

>> Latest PL-300 Questions <<

Reliable Microsoft PL-300 PDF Questions - Pass Exam With Confidence

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Microsoft Power BI Data Analyst Sample Questions (Q322-Q327):

NEW QUESTION # 322
You have a Power BI report.
You need to create a calculated table to return the 100 highest spending customers.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax
https://docs.microsoft.com/en-us/dax/summarize-function-dax


NEW QUESTION # 323
You have a Power BI report.
You need to create a calculated table to return the 100 highest spending customers.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax
https://docs.microsoft.com/en-us/dax/summarize-function-dax


NEW QUESTION # 324
You have a folder that contains 100 CSV files.
You need to make the file metadata available as a single dataset by using Power Bi The solution must NOT store the data of the CSV files.
Which three actions should you perform in sequence. To answer, mow the appropriate actions from the list of actions to the answer area and arrange them m the correct order.
NOTE; More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:

Explanation:

Explanation
From Power BI Desktop, select Get Data, and then select Folder.
From Power Query Editor, remove the Content column.
From Power Query Editor, expand the Attributes column.


NEW QUESTION # 325
Adding an index key and normalizing casing in the data source would help resolve issues with undefined values and errors in a case-sensitive column. The index key can provide a unique identifier, and normalizing casing ensures consistency in the data, which would likely prevent the errors you encountered in the Power BI semantic model.
You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys.
* Due Date
* Order Date
* Delivery Date
You need to support the analysis of sales over time based on all three dates at the same time.
Solution: You create measures that use the USERELATIONSHIP DAX function to filter sales on the inactive relationships between sales table and the date table.
Does this meet the goal?

Answer: B


NEW QUESTION # 326
You have two CSV files named Products and Categories.
The Products file contains the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
The Categories file contains the following columns:
* CategoryID
* CategoryName
* CategoryDescription
From Power BI Desktop, you import the files into Power Query Editor.
You need to create a Power BI dataset that will contain a single table named Product. The Product will table includes the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
* CategoryName
* CategoryDescription
How should you combine the queries, and what should you do on the Categories query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Answer as selected


NEW QUESTION # 327
......

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