PL-300 Test Preparation: Microsoft Power BI Data Analyst & PL-300 Exam Lab Questions

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q420-Q425):

NEW QUESTION # 420
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 # 421
You have a Microsoft Excel workbook that contains two sheets named Sheet1 and Sheet2. Sheet1 contains the following table named Table1.

Sheet2 contains the following table named Table2.

You need to use Power Query Editor to combine the products from Table1 and Table2 into the following table that has one column containing no duplicate values.

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:

Explanation:


NEW QUESTION # 422
You are creating a Microsoft Power BI data model that has the tables shown in the following table.

The Products table is related to the ProductCategory table through the ProductCategoryID column.
You need to ensure that you can analyze sales by product category.
How should you configure the relationships from Products to ProductCategory? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand


NEW QUESTION # 423
You use Power Query Editor to load two queries named Query 1 and Query2 Query1 results in the following error.

Answer:

Explanation:

Explanation:

The completed mapping shown in the answer area is correct. The case is framed around this condition: you use power query editor to load two queries named query 1 and query2 query1 results in the following error.
Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis- ready table. This directly matches the current study-guide objective " Resolve data import errors " . A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Resolve data import errors " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300


NEW QUESTION # 424
You have a Power BI tenant.
You have reports that use financial datasets and are exported as PDF files.
You need to ensure that the reports are encrypted.
What should you implement?

Answer: B

Explanation:
General availability of sensitivity labels in Power BI.
Microsoft Information Protection sensitivity labels provide a simple way for your users to classify critical content in Power BI without compromising productivity or the ability to collaborate. Sensitivity labels can be applied on datasets, reports, dashboards, and dataflows. When data is exported from Power BI to Excel, PowerPoint or PDF files, Power BI automatically applies a sensitivity label on the exported file and protects it according to the label's file encryption settings. This way your sensitive data remains protected no matter where it is.
Reference:
https://powerbi.microsoft.com/en-us/blog/announcing-power-bi-data-protection-ga-and-introducing-new-capabilities/


NEW QUESTION # 425
......

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