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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q38-Q43):

NEW QUESTION # 38
You publish the semantic model to powerbi.com.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 39
You have the data lineage shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 40
You are profiling data by using Power Query Editor.
You have a table that contains a column named column1. Column statistics and Value distribution for column1 are shown in the following exhibit.

Answer:

Explanation:


NEW QUESTION # 41
You receive annual sales data that must be included in Power Bl reports.
From Power Query Editor, you connect to the Microsoft Excel source shown in the following exhibit.

You need to create a report that meets the following requirements:
* Visualizes the Sales value over a period of years and months
* Adds a slicer for the month
* Adds a slicer for the year

Answer:

Explanation:

Explanation


NEW QUESTION # 42
You have a dashboard that contains tiles pinned from a single report as shown in the Original Dashboard exhibit. (Click the Original Dashboard tab.)

You need to modify the dashboard to appear as shown in the Modified Dashboard exhibit. (Click the Modified Dashboard tab.)

What should you do?

Answer: A

Explanation:
https://docs.microsoft.com/en-us/power-bi/create-reports/service-dashboard-themes#how-dashboard-themes-work


NEW QUESTION # 43
......

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