PL-300 Exam : Microsoft Power BI Data Analyst Practice Test

Here is a great set of practice exams that have been carefully designed to help you get ready for the Microsoft PL-300 Microsoft Power BI Data Analyst certification exam.

The PL-300 exam updates as of 22 November 2025.

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) Skills measured

1) 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

2) 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

3) 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

4) 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

We would like to wish you well on your learning path and in the upcoming Microsoft PL-300 certification exam. Come along in the course with us to raise your chances of success!