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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft Power BI Data Analyst Exam Certification Details:

Passing Score700 / 1000
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Exam Price$165 (USD)
Schedule ExamPearson VUE
Number of Questions40-60
Exam CodePL-300
Duration180 mins
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst

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Microsoft PL-300 Exam Syllabus Topics:

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

Microsoft Power BI Data Analyst Sample Questions:

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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Read the completed answer mapping as 1) TOPN; 2) SUMMARIZE; 3) DESC. The required outcome is to create a calculated table to return the 100 highest spending customers. DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. This directly matches the current study-guide objective " Create calculated tables or columns " . A measure would not create the persistent row-level field or table needed for sorting, categorization, relationships, or reuse in the model. It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create calculated tables or columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study- guides/pl-300

You plan to use Power BI Desktop to create a bog tracking dashboard that will pull data from Analytics in Azure DevOps.
From Power BI Desktop, you need to configure a data connector to authenticate to Azure DevOps. The solution must meet the following requirements:
; Use Analytics views.
; Filter data from the cloud.
Which connector should you use?

  • A. OData feed
  • B. Azure DevOps Server (Boards only)
  • C. OData queries
  • D. Azure DevOps (Boards only)
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).

You use Power BI Desktop to load data from a Microsoft SQL Server database.
While waiting for the data to load, you receive the following error.

You need to resolve the error.
What are two ways to achieve the goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.

  • A. Split long running queries into subsets Of columns and use power Query to the queries
  • B. Reduce number of rows and columns returned by each query.
  • C. Disable query folding on long running queries
  • D. Use Power Query to combine long running queries into one query.
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).

You create a Power BI semantic model that contains the table shown in the following exhibit.

You need to make the table available as an organizational data type In Microsoft Excel.
How should you configure the properties of the table? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The selections in the retained answer exhibit are the verified configuration. An organizational data type requires a featured table with a key column and a row label. Those table properties give Excel a unique lookup field and the human-readable value it should display. What determines the answer is the need to make the table available as an organizational data type In Microsoft Excel. Changing a visual alone does not assign semantic meaning to a field, and changing the underlying values is unnecessary when a model property supplies the required behavior. For exam alignment, this is assessed under " Configure table and column properties " in the current study guide.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-data- categorization | PL-300 objective: " Configure table and column properties " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

You need to create the Top Customers report.
Which type of filter should you use, and at which level should you apply the filter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The retained answer area specifies 1) Top N; 2) Visual. Visual selection follows the analytical question: line charts show change over time, bars compare categories, scatter charts expose relationships and outliers, KPIs track progress against a target, and AI visuals explain likely drivers. The technical decision turns on how to create the Top Customers report. The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. For exam alignment, this is assessed under " Apply slicing and filtering " in the current study guide. The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Apply slicing and filtering " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

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