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Microsoft PL-300 Exam Syllabus Topics:

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

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It is similar to the Microsoft Power BI Data Analyst (PL-300) desktop-based exam simulation software, but it requires an active internet. No extra plugins or software installations are required to take the Microsoft Power BI Data Analyst (PL-300) web-based practice test. Every browser such as Chrome, Mozilla Firefox, MS Edge, Internet Explorer, Safari, and Opera supports this format of PL-300 mock exam.

Microsoft Power BI Data Analyst Sample Questions (Q419-Q424):

NEW QUESTION # 419
You need to create a measure that will return the percentage of late orders.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
See the answer as below in explanation.
Explanation:
Answer as below
Graphical user interface Description automatically generated


NEW QUESTION # 420
You are creating a Power 81 model to analyze inventory.
You load data into three tables named Date Product, and Inventor/. The Inventor/ table relates to the Date and Product tables by using one-to-many relationships.
Inventor)' data is recorded daily with no exceptions. The correct inventory quantity for a given product in a month is the last recorded value for that month You need to write a DAX measure that will show the correct inventory value when a user analyzes inventory by year, month, or date.
How should you complete the measure? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point

Answer:

Explanation:


NEW QUESTION # 421
You plan to create a report that will display sales data from the last year for multiple regions You need to restrict access to individual rows of the data on a per region-basis by using roles.
Which four 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 - Import the data to Power BI Desktop.
2 - Create a role definition.
3 - Assign users to the role.


NEW QUESTION # 422
Adding an index key and normalizing casing in the data source would help resolve issues with undefined values and errors in a case-sensitive column. The index key can provide a unique identifier, and normalizing casing ensures consistency in the data, which would likely prevent the errors you encountered in the Power BI semantic model.
You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys.
*Due Date
*Order Date
*Delivery Date
You need to support the analysis of sales over time based on all three dates at the same time.
Solution: For each date foreign key, you add inactive relationships between the sales table and the date table.
Does this meet the goal?

Answer: B

Explanation:
Simply adding inactive relationships between the sales table and the date table for each date foreign key does not fully meet the goal. While inactive relationships allow for flexibility, they alone do not enable analysis over time based on all three dates simultaneously.
To achieve this, you would need to use DAX functions like USERELATIONSHIP to activate the appropriate relationship in your measures. Without this, the inactive relationships won't be utilized in your calculations, meaning that analysis based on those dates won't work as intended.


NEW QUESTION # 423
DRAG DROP
You have the line chart shown in the exhibit. (Click the Exhibit tab.)

You need to modify the chart to meet the following requirements:
* Identify months that have order counts above the mean.
* Display the mean monthly order count.
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:


NEW QUESTION # 424
......

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