PL-300 Microsoft Power BI Data Analyst Practice Tests 2026

PL-300 Microsoft Power BI Data Analyst PL300 Practice Exam, pass on your first try with includes detailed explanations.

Prepare for the PL-300 Microsoft Power BI Data Analyst certification exam with these comprehensive practice tests. Designed to simulate the actual exam environment, these practice tests will help you assess your knowledge and readiness for the official certification. With a focus on core Power BI skills, the practice tests cover a wide range of topics, including data preparation, modeling, visualization, analysis, and deployment.

Microsoft Power BI Data Analyst (PL-300) Certification Practice Exam details:

• Exam Name : Microsoft Certified - Power BI Data Analyst Associate

• Exam Code : PL-300

• Exam Fee $165 (USD)

• Number of Questions: Maximum of 40-60 questions,

• Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,

• Length of Test: 180 Minutes. The exam is available in English, German, and Japanese languages.

• Passing Score 700 / 1000

• Languages : English at launch.

• Schedule Exam : Pearson VUE

  
  

Microsoft Power BI Data Analyst (PL-300) Certification Exams skill questions:

#) Prepare the data (25–30%)

Get data from data sources

• Identify and connect to a data source

• Change data source settings, including credentials, privacy levels, and data source locations

• Select a shared dataset, or create a local dataset

• Choose between DirectQuery, Import, and Dual mode

• Change the value in a parameter

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

• Transform a query

• Design a star schema that contains facts and dimensions

• 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

• Implement row-level security roles

Create model calculations by using DAX

• Create single aggregation measures

• Use CALCULATE to manipulate filters

• Implement time intelligence measures

• Identify implicit measures and replace with explicit measures

• Use basic statistical functions

• Create semi-additive measures

• Create a measure by using quick measures

• Create calculated tables

Optimize model performance

• Improve performance by identifying and removing unnecessary rows and columns

• Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

• Improve performance by choosing optimal data types

• Improve performance by summarizing data

#) Visualize and analyze the data (25–30%)

Create reports

• Identify and implement appropriate visualizations

• Format and configure visualizations

• Use a custom visual

• Apply and customize a theme

• Configure conditional formatting

• Apply slicing and filtering

• Configure the report page

• Use the Analyze in Excel feature

• Choose when to use a paginated report

Enhance reports for usability and storytelling

• Configure bookmarks

• Create custom tool-tips

• Edit and configure interactions between visuals

• Configure navigation for a report

• Apply sorting

• Configure sync slicers

• Group and layer visuals by using the Selection pane

• Drill down into data using interactive visuals

• Configure export of report content, and perform an export

• Design reports for mobile devices

• Incorporate the Q&A feature in a report

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

• Create and share scorecards and metrics

#) Deploy and maintain assets (15–20%)

Create and manage work-spaces and assets

• Create and configure a workspace

• Assign workspace roles

• Configure and update a workspace app

• Publish, import, or update assets in a workspace

• Create dashboards

• Choose a distribution method

• Apply sensitivity labels to workspace content

• Configure subscriptions and data alerts

• Promote or certify Power BI content

• Manage global options for files

Manage datasets

• Identify when a gateway is required

• Configure a dataset scheduled refresh

• Configure row-level security group membership

• Provide access to datasets

Key Features:

• Realistic Exam Environment: The practice tests are structured to mirror the format and difficulty level of the actual PL-300 exam.

• Comprehensive Coverage: Topics include data importing, cleaning, transforming, creating models, designing reports, and performing data analysis in Power BI.

• Detailed Explanations: Each question comes with a detailed explanation of the correct answer to help you understand the underlying concepts.

• Timed Practice: Simulate exam conditions with a time limit to improve your speed and accuracy.

• Instant Feedback: Get immediate feedback on your performance, with insights into areas where you may need further study.

• Multiple Practice Tests: Take multiple full-length tests to build confidence and ensure mastery of Power BI.

  
  

Whether you’re a seasoned data professional or just starting with Power BI, these practice tests are an essential resource to ensure you're well-prepared for the PL-300 exam.