PL-300 Microsoft Power BI Data Analyst Exam Info and Questions Sharing

Understand Microsoft PL-300 Exam Info

The PL-300 Microsoft Power BI Data Analyst certification exam is for earning the Microsoft Certified: Power BI Data Analyst Associate credential. This certification is designed for professionals who want to demonstrate their ability to deliver data-driven insights that enable better business decision-making.

Duration: 100 minutes
Number of Questions: 40–60 questions
Languages Available: English, Japanese, Simplified Chinese, Traditional Chinese, Korean, German, French, Spanish, Portuguese (Brazil), and Italian
Price: $165

Master Microsoft PL-300 Exam Skills

The PL-300 exam measures your proficiency across four key skill areas:

1. Prepare the Data
Identify and connect to data sources
Clean, transform, and load the data using Power Query

2. Model the Data
Design and create a data model
Perform DAX calculations and manage model performance

3. Visualize and Analyze the Data
Create reports and dashboards
Identify patterns and trends through data analysis
Use AI visuals and custom visuals to enhance storytelling

4. Manage and Secure Power BI Assets
Manage datasets, workspaces, and reports
Configure row-level security and access permissions
Tools You Should Master

How to Prepare For PL-300 Exam?

Microsoft Learn Path for PL-300 – Free, official training modules
Practice Exams – Try online questions to assess your readiness
Power BI Community & Forums – Discuss challenges and get tips from others
Hands-on Practice – Build dashboards and reports using public datasets

The PL-300 exam is more than just a test – it’s an opportunity to prove your data analytics skills using Power BI. With the demand for data analysts growing across industries, earning the Power BI Data Analyst Associate certification can boost your credibility and open new career opportunities. Whether you’re a seasoned data professional or transitioning into analytics, the PL-300 offers a focused and practical path to showcasing your ability to make data work for business.