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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q228-Q233):

NEW QUESTION # 228
In Power Query Editor, you have a query named Sales Data that contains the following columns.

You ne ed to create two queries named Product Dimension and Sales Fact based on the Sales Data query. The solution must minimize maintenance effort and the site of the semantic model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE Each correct selection is worth one point.

Answer: B,C


NEW QUESTION # 229
You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.

You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Select Use First Row as Headers.
2 - Select Department and Product and Unpivot Other Columns.
3 - Rename the Attribute column to Years and the Value column to Revenue.
Reference:
https://support.microsoft.com/en-us/office/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098


NEW QUESTION # 230
You have a Microsoft Excel workbook that contains two tables.
From Power BI, you create a dashboard that displays data from the tables.
You update the tables each day.
You need to ensure that the virtualizations in the dashboard are updated daily.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

References: https://docs.microsoft.com/en-us/power-bi/refresh-scheduled-refresh


NEW QUESTION # 231
You have a query that returns the data shown in the following exhibit.

You need to configure the query to display the data as shown in the following exhibit.

Which step should you use in the query?

Answer: D


NEW QUESTION # 232
Which two types of visualizations can be used in the balance sheet reports to meet the reporting goals? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
Explanation
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-types-for-reports-and-q-and-a


NEW QUESTION # 233
......

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