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Microsoft PL-300日本語

PL-300日本語

Exam Code: PL-300J

Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)

Updated: Aug 10, 2026

Q&A Number: 515 Q&As

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

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Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data30-40%- Design a data model
  • 1. Define relationships and cardinality
    • 2. Design star schema
      - Develop a data model
      • 1. Optimize model performance
        • 2. Create DAX calculations
          Topic 2: Deploy and maintain assets15-20%- Manage workspaces and datasets
          • 1. Publish and manage datasets
            • 2. Configure refresh schedules
              - Secure and monitor Power BI
              • 1. Monitor usage and performance
                • 2. Implement row-level security
                  Topic 3: Visualize and analyze data25-35%- Create reports and dashboards
                  • 1. Create visuals and KPIs
                    • 2. Design report layouts
                      - Enhance reports for usability
                      • 1. Implement drill-through and navigation
                        • 2. Apply filters and slicers
                          Topic 4: Prepare the data15-20%- Get data from data sources
                          • 1. Identify and connect to data sources
                            • 2. Select storage modes
                              - Clean, transform, and load data
                              • 1. Shape and transform data
                                • 2. Clean data using Power Query

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