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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q211-Q216):

NEW QUESTION # 211
You are modeling data in table named SalesDetail by using Microsoft Power Bl.
You need to provide end users with access to the summary statistics about the SalesDetail dat a. The users require insights on the completeness of the data and the value distributions.
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 - Create a blank query as a source.
2 - Specify the following query, then close and apply,,,,,
3 - Create a visual for the query table.


NEW QUESTION # 212
You have a Power Bl model that contains the following data.

The Date table relates to the Sales table by using the Date columns.
The model contains the following DAX measure.
Total Sales = SUM(Sales[Sale])
You need to create another measure named Previous Quarter to display the sales one quarter before the selected period.
Which DAX calculation should you use?

Answer: D


NEW QUESTION # 213
You need to create a visual that enables the adhoc exploration of data as shown in the following exhibit.

Which type of visual should you use?

Answer: A


NEW QUESTION # 214
You have a Power BI imported dataset that contains the data model 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:

Explanation:
- cross filter direction
- star schema


NEW QUESTION # 215
You have a semantic model that has the permissions shown in the following exhibit.

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

Answer:

Explanation:

Explanation:


NEW QUESTION # 216
......

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