Microsoft PL-300 Practice Test Questions Answers
Exam Code: PL-300
(Updated 422 Q&As with Explanation)
Exam Name: Microsoft Power BI Data Analyst
Last Update: 17-Apr-2025
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PL-300 Overview
Microsoft PL-300 Exam Overview
| Category | Details |
|---|---|
| Certification Name | Microsoft Certified: Power BI Data Analyst Associate (PL-300) |
| Target Audience | Data analysts, business intelligence professionals, and anyone involved in data analysis and visualization using Power BI. |
| Purpose | Validates the skills required to prepare, model, visualize, analyze, and deploy data using Power BI. |
| Exam Duration | 180 minutes (3 hours) |
| Number of Questions | 40-60 multiple-choice questions |
| Passing Score | 700 (on a scale of 1000) |
| Exam Format | Multiple choice (single and multiple answers), drag-and-drop, case study scenarios |
| Exam Delivery | Online, via Microsoft Learn or Pearson VUE |
| Exam Cost | $165 (USD) |
| Languages Available | English, French, German, Spanish, Portuguese, Chinese (Simplified) |
| Prerequisites | Basic understanding of data analysis, Microsoft Excel, and Power BI concepts. Experience with data preparation and visualization is recommended. |
| Key Topics Covered | 1. Prepare Data 2. Model Data 3. Visualize Data 4. Analyze Data 5. Deploy and Maintain Deliverables |
| Preparation Resources | 1. Microsoft Power BI Learning Path (Microsoft Learn) 2. PL-300 Exam Study Guide 3. Power BI Documentation 4. Practice exams and hands-on labs |
| Validity Period | 2 years (requires recertification after expiration) |
| Retake Policy | Allowed after 24 hours if not passed. |
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Microsoft PL-300 Exam Topics Breakdown
| Domain | Weight (%) | Topics Covered |
|---|---|---|
| 1. Prepare Data | 15-20% | - Get data from different sources (Excel, SQL Server, web, APIs) - Clean and transform data using Power Query - Combine and shape data using Power BI Desktop |
| 2. Model Data | 15-20% | - Create and manage data models - Perform data transformations and optimizations - Create relationships and hierarchies |
| 3. Visualize Data | 25-30% | - Create reports and dashboards - Design interactive visualizations - Use custom visuals and format reports |
| 4. Analyze Data | 20-25% | - Perform advanced analysis with Power BI (DAX, quick measures) - Create and use calculated columns, tables, and measures - Utilize Power BI’s analytic features (e.g., forecasting, grouping, clustering) |
| 5. Deploy and Maintain Deliverables | 10-15% | - Publish and share reports in Power BI - Configure security (Row-level security) - Schedule and refresh data - Monitor and manage Power BI solutions |
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