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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q377-Q382):

NEW QUESTION # 377
You have a Power Bl workspace that contains a single-page report named Sales.
You need to add all the visuals from Sales to a dashboard. The solution must ensure that additional visuals added to the page are added automatically to the dashboard.
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
Open powerbi.com
Select sales report
Pin the page


NEW QUESTION # 378
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:

Explanation:


NEW QUESTION # 379
You have a Power BI report that contains the table visual shown in the following exhibit.

Answer:

Explanation:

Explanation:


NEW QUESTION # 380
You need to minimize the size of the semantic model. The solution must meet the report requirements.
What should you do?

Answer: B

Explanation:
Compression improves when columns use suitable data types and contain fewer distinct values. A valid optimization cannot discard detail or precision that reports still require. The scenario is asking for a way to minimize the size of the semantic model. The solution must meet the report requirements. The verified answer is D (Remove the QuantityPerUnit column from the Products table). The relevant current PL-300 study-guide bullet is " Improve performance by identifying and removing unnecessary rows and columns " . A proposed optimization is invalid if it drops required columns, removes needed transaction detail, or lowers numeric precision contrary to the scenario. It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/import-modeling-data- reduction | PL-300 objective: " Improve performance by identifying and removing unnecessary rows and columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300


NEW QUESTION # 381
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
Solution: You create a new query that references DataSourceExcel.
Does this meet the goal?

Answer: A

Explanation:
Instead modify the source step of the queries to use DataSourceExcel as the file path.
Note: Parameterising a Data Source could be used in many different use cases. From connecting to different data sources defined in Query Parameters to load different combinations of columns.
Reference:
https://www.biinsight.com/power-bi-desktop-query-parameters-part-1/


NEW QUESTION # 382
......

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