About the PL-300 Exam

Key Takeaways

  • The PL-300 is the Microsoft Power BI Data Analyst Associate certification exam.
  • Exam format: 40-60 questions in 100 minutes with a passing score of 700/1000.
  • Four domains: Prepare Data (25-30%), Model Data (25-30%), Visualize & Analyze (25-30%), Manage & Secure (15-20%).
  • Question types include multiple choice, drag-and-drop, case studies, and hot area selections.
  • Certification is valid for one year and renewable for free via Microsoft Learn assessments.
Last updated: June 2026

Quick Answer: The PL-300 is a 40-60 question, 100-minute Microsoft exam with a 700/1000 passing score and $165 fee. It certifies you as a Microsoft Certified: Power BI Data Analyst Associate — validating skills in data preparation, modeling, visualization, analysis, and governance using Power BI. No prerequisites are required, and the certification renews annually for free.

The PL-300: Microsoft Power BI Data Analyst exam is the industry-standard certification for professionals who transform raw data into actionable business insights using Microsoft Power BI. As the successor to the DA-100 exam, the PL-300 reflects the latest capabilities of the Power BI platform, including Copilot AI integration, Direct Lake storage mode, and Microsoft Fabric connectivity.

Exam Overview

DetailInformation
Full NameExam PL-300: Microsoft Power BI Data Analyst
CertificationMicrosoft Certified: Power BI Data Analyst Associate
Administered ByPearson VUE (online and in-person)
Questions40-60 (includes unscored pretest items)
Time Limit100 minutes
Passing Score700 out of 1000
Cost$165 USD (varies by region)
PrerequisitesNone required
Validity1 year (renewable for free)

Who Should Take the PL-300?

The PL-300 is designed for Power BI data analysts who deliver actionable insights by working with available data and applying domain expertise. Ideal candidates:

  • Provide meaningful business value through easy-to-comprehend data visualizations
  • Enable others to perform self-service analytics
  • Collaborate with business stakeholders to identify requirements
  • Work with analytics engineers and data engineers to identify and acquire data
  • Are proficient with Power Query and DAX (Data Analysis Expressions)

Exam Structure by Domain

The PL-300 covers four major skill areas with the following weights:

DomainWeightKey Skills
Prepare the Data25-30%Connect to sources, clean data, transform and load
Model the Data25-30%Design models, write DAX, optimize performance
Visualize and Analyze25-30%Create reports, enhance usability, identify trends
Manage and Secure15-20%Workspaces, apps, RLS, sensitivity labels

Question Types

The PL-300 uses several question formats:

FormatDescription
Multiple ChoiceSelect the best answer from 4-5 options
Multiple SelectChoose all correct answers from a list
Drag-and-DropArrange items in the correct order or match pairs
Case StudyRead a business scenario and answer 4-7 related questions
Hot AreaClick the correct area on a screenshot or diagram
Build ListSelect and order steps to complete a task

Important: Case study sections cannot be revisited once completed. Budget approximately 12-15 minutes per case study.

2026 Exam Updates

As of April 20, 2026, the PL-300 objectives were updated to include:

  • Direct Lake as a storage mode option alongside DirectQuery and Import
  • Copilot in Power BI for creating narrative visuals and report pages
  • Calculation groups as a DAX modeling technique
  • Visual calculations using DAX within report visuals
  • DAX query view for performance analysis
  • Enhanced emphasis on sensitivity labels and data governance

Certification Benefits

Earning the Power BI Data Analyst Associate certification provides:

  1. Industry recognition — Power BI is used by 200,000+ organizations worldwide
  2. Career advancement — Certified professionals earn 15-20% more on average
  3. Pathway to advanced certs — Foundation for DP-600 (Fabric Analytics Engineer) and DP-700 (Fabric Data Engineer)
  4. Free annual renewal — No retake needed, just complete a free Microsoft Learn assessment
  5. Digital badge — Shareable Credly badge for LinkedIn and resumes

Study Timeline Recommendation

Experience LevelStudy HoursTimeline
Regular Power BI user (1+ years)30-40 hours2-3 weeks
Some Power BI experience40-60 hours4-6 weeks
New to Power BI60-80 hours6-8 weeks

How Scaled Scoring Works

Microsoft does not publish the exact number of scored questions, the live-versus-pretest split, or the official time allowance for the PL-300 — the widely cited figures of roughly 40–60 questions in about 100 minutes come from candidate reports, not from Microsoft. What Microsoft does confirm is that the passing score is 700 on a 0–1000 scale and that scores are scaled, not raw percentages.

Scaling means each question contributes a weighted number of points based on its difficulty, and a small number of unscored pretest items are mixed in so Microsoft can trial future questions. Because of this, 700 does not equal answering 70% of items correctly — on a harder form you may pass with fewer correct answers, and on an easier form you may need more. Treat 75–80% on quality practice tests as a safer internal target than a bare 70%.

Renewal and the Certification Path

The Power BI Data Analyst Associate certification expires one year after you earn it, but renewal is free: within the six-month window before expiration you complete an online, unproctored renewal assessment on Microsoft Learn. The renewal assessment is shorter than the exam, can be retaken, and keeps your certification continuously current as the platform evolves.

Exam Tip: The PL-300 is the only exam required to earn the associate certification — there is no second exam or experience requirement. After passing, it is a recognized foundation for DP-600 (Fabric Analytics Engineer Associate) and broader Microsoft Fabric credentials.

On the Exam

The PL-300 exam frequently tests:

  • Practical application of Power Query transformations and DAX formulas
  • Choosing the correct storage mode (Import, DirectQuery, Direct Lake) for a scenario
  • Data modeling best practices including star schema design
  • Report design choices that maximize usability and accessibility
  • Security implementation including RLS and sensitivity labels
PL-300 Exam Domain Weights (%)
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