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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q253-Q258):

NEW QUESTION # 253
You have a semantic model that contains a table named Sales. The table contains the following columns;
* Order ID
* Product ID
* Sales Dote
* Sales Amount
You need to create a DAX measure that will return the total sales amount for the same dates from the previous year. How should you complete the measure? To answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 254
You have a query named All Sales that imports sales data into a Power BI model.
You plan to create a star schema by separating columns into separate queries and performing further transformations. The solution must meet the following requirements:
* Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.
* Minimize maintenance effort.
What should you do to create the Sales Fact query, and for which query should you clear Enable load? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 255
You plan to embed multiple visualization in a public website.
Your Power BI infrastructure contains the visualizations configured as shown in the following table.

Which two visualizations can you embed into the website? Each correct answer presents a complete the solution.
NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
References: https://docs.microsoft.com/en-us/power-bi/service-publish-to-web


NEW QUESTION # 256
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 # 257
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
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:

Reference:
https://finance-bi.com/power-bi-basket-analysis/


NEW QUESTION # 258
......

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