PL-300: Microsoft Power BI Data Analyst - Apr 2025
Description:
Skills at a glance
Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Manage and secure Power BI (15–20%)
Prepare the data (25–30%)
Get or connect to data
Identify and connect to data sources or a shared semantic model
Change data source settings, including credentials and privacy levels
Choose between DirectQuery and Import
Create and modify parameters
Profile and clean the data
Evaluate data, including data statistics and column properties
Resolve inconsistencies, unexpected or null values, and data quality issues
Resolve data import errors
Transform and load the data
Select appropriate column data types
Create and transform columns
Group and aggregate rows
Pivot, unpivot, and transpose data
Convert semi-structured data to a table
Create fact tables and dimension tables
Identify when to use reference or duplicate queries and the resulting impact
Merge and append queries
Identify and create appropriate keys for relationships
Configure data loading for queries
Model the data (25–30%)
Design and implement a data model
Configure table and column properties
Implement role-playing dimensions
Define a relationship's cardinality and cross-filter direction
Create a common date table
Identify use cases for calculated columns and calculated tables
Create model calculations by using DAX
Create single aggregation measures
Use the CALCULATE function
Implement time intelligence measures
Use basic statistical functions
Create semi-additive measures
Create a measure by using quick measures
Create calculated tables or columns
Create calculation groups
Optimize model performance
Improve performance by identifying and removing unnecessary rows and columns
Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view
Improve performance by reducing granularity
Visualize and analyze the data (25–30%)
Create reports
Select an appropriate visual
Format and configure visuals
Apply and customize a theme
Apply conditional formatting
Apply slicing and filtering
Configure the report page
Choose when to use a paginated report
Create visual calculations by using DAX
Enhance reports for usability and storytelling
Configure bookmarks
Create custom tooltips
Edit and configure interactions between visuals
Configure navigation for a report
Apply sorting to visuals
Configure sync slicers
Group and layer visuals by using the Selection pane
Configure drill through navigation
Configure export settings
Design reports for mobile devices
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Configure automatic page refresh
Identify patterns and trends
Use the Analyze feature in Power BI
Use grouping, binning, and clustering
Use AI visuals
Use reference lines, error bars, and forecasting
Detect outliers and anomalies
Manage and secure Power BI (15–20%)
Create and manage workspaces and assets
Create and configure a workspace
Configure and update a workspace app
Publish, import, or update items in a workspace
Create dashboards
Choose a distribution method
Configure subscriptions and data alerts
Promote or certify Power BI content
Identify when a gateway is required
Configure a semantic model scheduled refresh
Secure and govern Power BI items
Assign workspace roles
Configure item-level access
Configure access to semantic models
Implement row-level security roles
Configure row-level security group membership
Apply sensitivity labels