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Microsoft Certified: Power BI Data Analyst Associate — Requirements & Free Practice

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Microsoft Certified: Power BI Data Analyst Associate

Demonstrate methods and best practices that align with business and technical requirements for modeling, visualizing, and analyzing data with Microsoft Power BI.

Licensing authority: Microsoft

Initial by examination
Exam PL-300: Microsoft Power BI Data Analyst
Qualification
Pass PL-300 for initial certification; the current English skills measured as of April 20, 2026 apply. The audience profile describes Power Query/DAX proficiency and data-analysis capabilities; it is not recast as a mandatory training-course or prior-certification prerequisite.
Scheduling
Appointment scheduling through the linked Pearson VUE provider. At most two Microsoft Certification examinations may be scheduled concurrently through Pearson VUE, and appointments may be booked no more than 90 days ahead. A Learn profile is used; a personal MSA is recommended and the profile legal name must match legal ID. Accommodations should be requested before scheduling. Online delivery depends on provider availability and security/system requirements; no fixed annual application deadline is asserted.
Scope
Initial acquisition only; the separate renewal assessment is outside this task.

Exam PL-300: Microsoft Power BI Data Analyst

Provider
Pearson VUE
Format
Proctored examination; interactive components may be included.
Time limit
100 minutes
Passing score
700 or greater on the Microsoft technical examination scaled score; not a percentage correct.
Examination outline

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

  • Prepare the data — Official range: 25–30% (Practice allocation: 27.5%)
    • Get or connect to data
    • Profile and clean the data
    • Transform and load the data
  • Model the data — Official range: 25–30% (Practice allocation: 27.5%)
    • Design and implement a data model
    • Create model calculations by using DAX
    • Optimize model performance
  • Visualize and analyze the data — Official range: 25–30% (Practice allocation: 27.5%)
    • Create reports
    • Enhance reports for usability and storytelling
    • Identify patterns and trends
  • Manage and secure Power BI — Official range: 15–20% (Practice allocation: 17.5%)
    • Create and manage workspaces and assets
    • Secure and govern Power BI items
Examination sources