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

  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 04, 2026
  • Q & A: 515 Questions and Answers

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

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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:

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

  • 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

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Skills measured

  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Deploy and maintain assets (20-25%)
  • Prepare the data (15-20%)
  • Model the data (30-35%)
  • Visualize and analyze the data (25-30%)

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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