PL-300: Microsoft Power BI Data Analyst – May 2025

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