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

  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Oct 08, 2026     Q & A: 472 Questions and Answers

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What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

  • India; INR 500,000

  • Australia; AUD 75,000

  • United States; USD 90,000

  • Canada; CAD 70,000

  • United Kingdom; POUNDS 60,000

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

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There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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