PL-300 Verified 2026 Edition

PL-300Practice Exam

Master the Power BI Data Analyst with the official PlanetCert Practice Test. Access real exam questions, professional-grade detailed explanations, and our advanced adaptive simulator. Pass your certification exam on the first attempt.

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Exam Information

Official specifications published by Microsoft

Exam Format

100 min
40-60
700
Associate

Registration

$165 USD
Pearson VUE or online proctoring

Validity

1 year
Free online renewal assessment on Microsoft Learn; Complete continuing education activities; Pass the current version of the exam

PL-300 Exam Topics and Domains

PL-300 is organized into 4 weighted domains. Expect to work with Power Query Editor, Power BI Service, DAX formulas, M language, and more.

1

Prepare the data

25%

Get or connect to data

Identify and connect to data sourcesConfigure data source settingsChoose between DirectQuery and ImportCreate and modify parameters
  • 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 qualityResolve data issues
  • 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

Data type selectionColumn transformationsData reshapingTable operationsData modeling preparation
  • 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
2

Model the data

25%

Design and implement a data model

Configure tables and columnsImplement relationshipsDate table implementationCalculated columns and tables
  • 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

Basic measuresCALCULATE functionTime intelligenceAdvanced calculations
  • 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

Model optimizationPerformance analysis
  • 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
3

Visualize and analyze the data

25%

Create reports

Visual selection and configurationFiltering and slicingReport page configurationVisual calculations
  • 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

Navigation and bookmarksInteractive featuresMobile and accessibilityAdvanced features
  • 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

AI and analytics featuresStatistical analysisData grouping
  • 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
4

Manage and secure Power BI

20%

Create and manage workspaces and assets

Workspace managementContent distributionContent endorsementData refresh and gateways
  • 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

Access managementRow-level securityData governance
  • 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

How do I earn this certification?

Passing PL-300 earns the Microsoft Certified: Power BI Data Analyst Associate certification.

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The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.

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How to study for this exam?

Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for PL-300.

What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2025-04-21
  • Announcement date: 2025-03-21
Updates
  • Microsoft Copilot for Power BI GA High - New default feature requiring understanding • Release date: 2025-09-05
  • Microsoft Fabric GA Medium - Integration points with Power BI • Release date: 2024-11-15
  • Power BI Semantic Models 2.0 High - Replaces datasets terminology • Release date: 2024-06-01
  • Visual Calculations Preview Low - Still in preview • Release date: 2024-02-01

Who should take this exam?

This exam is typically taken by Data Analysts and Business Intelligence Professionals.

  • Working knowledge of Power BI Desktop
  • Understanding of data modeling concepts
  • Basic knowledge of DAX
  • Familiarity with Power Query
  • Experience with data visualization best practices

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