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Last Updated: Sep 02, 2026
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Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam offered by Microsoft that evaluates the skills and knowledge of individuals in using Power BI to analyze data and create visualizations. PL-300-KR exam is designed for data analysts, business intelligence professionals, and other individuals who work with data and want to demonstrate their proficiency in using Power BI to analyze data and create meaningful insights.
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Microsoft PL-300 exam consists of multiple-choice questions and scenarios that require candidates to apply their knowledge of Power BI to real-world situations. PL-300-KR exam is divided into several sections, each of which focuses on different aspects of data analysis and visualization. These sections include data modeling, dashboard creation, data preparation, and report creation. Candidates are required to demonstrate their proficiency in each of these areas in order to pass the exam.
The Microsoft PL-300-KR exam covers a range of topics, including data modeling, data preparation, visualization development, and collaboration. Candidates are expected to have a solid understanding of DAX and M languages, as well as experience with Power Query, Power Pivot, and other Power BI tools.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft PL-300 certification exam is an essential credential for those who want to validate their skills in using Power BI for data analysis. PL-300-KR exam tests the candidate's knowledge and skills in creating and managing data models, visualizations, and reports using Power BI. By earning the PL-300 certification, candidates can demonstrate their proficiency in using Power BI effectively and advance their careers in data analysis.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
| Topic 2: Prepare the data | 15-20% | - Get data from data sources
|
| Topic 3: Visualize and analyze data | 25-35% | - Enhance reports for usability
|
| Topic 4: Model the data | 30-40% | - Develop a data model
|
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