Microsoft Power BI Data Analyst (PL-300 Korean Version): PL-300 Exam

"Microsoft Power BI Data Analyst (PL-300 Korean Version)", also known as PL-300 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 472 Q&As to your PL-300 Exam preparation. In the PL-300 exam resources, you will cover every field and category in Microsoft Certified: Power BI Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate
  • Updated: Sep 07, 2026
  • No. of Questions: 472 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Why Microsoft Power BI Data Analyst Certification Exam is so difficult

No matter how many times you take the Microsoft Power BI Data Analyst Certification Exam, you will never be able to finish it. This is because the exam is designed to be as difficult as possible. When you first sit down and begin answering questions, you may feel like there are a lot of easy ones. This is just part of the test's strategy. they want to make sure that you think everything's going smoothly, so that when they throw in a difficult question later on, it will be much harder for you to answer.

The Microsoft certification exams are considered to be the toughest in the industry. This is because of the fact that if you have passed one of these exams, then it means that you have gone through a tough time and have shown that you are capable enough to handle any situation. Microsoft Power BI Data Analyst Certification Exam is designed to give you a hard time. It won't let up until you finally give up entirely and surrender your certification. PrepAwayPDF Microsoft PL-300 Dumps are the only way to pass your exam and get certified in your first attempt.

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What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

  • Developing dashboards that provide actionable insights into business performance

  • Understanding business context, including organizational strategy and objectives

  • Creating custom data models that support analysis and reporting requirements

  • Identifying sources of data that can contribute to achieving business goals

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

  • Time Duration: 180 minutes

  • Number of Questions: 40-60 questions

  • The passing score: 700

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare the data25-30%- Load and configure data
  • 1. Integrate data from multiple sources
    • 2. Define table structures and properties
      • 3. Configure data refresh settings
        - Get or connect to data
        • 1. Choose storage modes: Import, DirectQuery, DirectLake
          • 2. Identify and connect to data sources or shared semantic models
            • 3. Create and modify parameters
              • 4. Configure data source settings, credentials, and privacy levels
                - Profile and clean data
                • 1. Resolve inconsistencies, null values, and errors
                  • 2. Evaluate data statistics and column properties
                    • 3. Manage data types, columns, and rows
                      • 4. Transform data using Power Query Editor
                        Topic 2: Manage and secure Power BI15-20%- Manage workspaces and assets
                        • 1. Create and configure workspaces
                          • 2. Manage data refresh and scheduled updates
                            • 3. Publish, update, and organize reports/datasets
                              - Deploy and distribute content
                              • 1. Monitor usage and performance
                                • 2. Share reports, dashboards, and apps
                                  • 3. Embed content in applications or websites
                                    - Implement security and governance
                                    • 1. Apply data sensitivity labels and protection
                                      • 2. Configure row-level security (RLS) and object-level security
                                        • 3. Manage permissions and access
                                          Topic 3: Model the data25-30%- Create model calculations
                                          • 1. Implement aggregation and time intelligence
                                            • 2. Use DAX: calculated columns, calculated tables, measures
                                              • 3. Use CALCULATE and filter context
                                                - Optimize model performance
                                                • 1. Reduce cardinality and data size
                                                  • 2. Optimize relationships and calculations
                                                    • 3. Use aggregations and composite models
                                                      - Design data models
                                                      • 1. Implement role-playing dimensions
                                                        • 2. Define tables, columns, and hierarchies
                                                          • 3. Create common date tables
                                                            • 4. Create relationships: cardinality, cross-filter direction, security
                                                              Topic 4: Visualize and analyze data25-30%- Perform data analysis
                                                              • 1. Create and manage bookmarks and tooltips
                                                                • 2. Implement custom visuals and R/Python scripts
                                                                  • 3. Interpret results and identify trends
                                                                    - Create reports and dashboards
                                                                    • 1. Design report layout, formatting, and interactivity
                                                                      • 2. Apply filters, slicers, and drill-through
                                                                        • 3. Create dashboards and pinned elements
                                                                          • 4. Choose appropriate visualizations
                                                                            - Enhance reports with analytics
                                                                            • 1. Use AI visuals, forecasts, and key influencers
                                                                              • 2. Create paginated reports
                                                                                • 3. Apply conditional formatting and custom visuals

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