The Microsoft Power BI Data Analyst (PL-300 Korean Version) certification exam is intended for data analysts, business analysts, and other professionals who work with data to make informed business decisions. PL-300-KR exam is focused on testing the candidate's ability to design, develop, and manage Power BI solutions, including data modeling, data preparation, and report creation. PL-300-KR exam also covers advanced topics such as DAX formulas, data governance, and collaboration.
Microsoft PL-300 (Microsoft Power BI Data Analyst) Exam is a certification exam that is designed to test the skills and knowledge of individuals who work with data analytics and business intelligence using Microsoft Power BI. PL-300-KR exam is intended for professionals who have a strong understanding of data analysis concepts and have experience working with Power BI to create reports, dashboards, and data models. PL-300-KR exam covers a wide range of topics related to Power BI, including data modeling, data visualization, data analysis, and data transformation.
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Microsoft PL-300 exam evaluates a candidate's ability to work with data sources, design data models, create reports and visualizations, and collaborate effectively with stakeholders. PL-300-KR exam covers a wide range of topics, including data modeling, data transformation, visualization, dashboard design, and data security. This comprehensive coverage ensures that candidates who pass the exam are fully equipped to handle real-world data analysis tasks.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam that tests a candidate's knowledge and skills in using Microsoft's Power BI suite of tools to extract insights and value from data. PL-300-KR exam is designed for data analysts who work with data models, reports, and dashboards, and who need to analyze and visualize data from different sources.
Microsoft PL-300 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 25-30% | - Load and configure data
|
| Topic 2: Model the data | 25-30% | - Optimize model performance
|
| Topic 3: Visualize and analyze data | 25-30% | - Perform data analysis
|
| Topic 4: Manage and secure Power BI | 15-20% | - Deploy and distribute content
|
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