Updated: Aug 28, 2026
No. of Questions: 472 Questions & Answers with Testing Engine
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The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:
You have at least one year of experience using Power BI Desktop.
You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.
You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.
You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.
The passing score: 700
Number of Questions: 40-60 questions
Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian
Time Duration: 180 minutes
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:
United States; USD 90,000
United Kingdom; POUNDS 60,000
Australia; AUD 75,000
India; INR 500,000
Canada; CAD 70,000
The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.
The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. Actual4Cert Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Power BI Data Analyst |
| Exam Number: | PL-300 |
| Available Languages: | French, Chinese (Traditional), Italian, Korean, English, Japanese, Portuguese (Brazil), Arabic (Saudi Arabia), Indonesian, German, Chinese (Simplified), Russian, Spanish |
| Real Exam Qty: | 40-60 |
| Exam Format: | Drag and drop, Performance-based, Case studies, Multiple choice (single/multiple response), Simulation |
| Exam Price: | USD 165 |
| Exam Duration: | 180 minutes |
| Certificate Validity Period: | 12 months |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Certified: Data Analyst Associate Microsoft Certified: Power Platform Associate |
| Recommended Training: | Microsoft Learn - PL-300 Learning Path Microsoft Official Course: PL-300T00 |
| Exam Registration: | Microsoft Learn - Schedule Exam Pearson VUE Registration |
| Sample Questions: | Microsoft PL-300 Korean Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualize and analyze data | 25-30% | - Create reports and dashboards
|
| Topic 2: Model the data | 25-30% | - Design data models
|
| Topic 3: Prepare the data | 25-30% | - Profile and clean data
|
| Topic 4: Manage and secure Power BI | 15-20% | - Manage workspaces and assets
|
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