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Microsoft PL-300 certification exam focuses on assessing the knowledge and skills required to become a Microsoft Power BI data analyst. PL-300J exam is designed to test the ability of candidates to use Power BI to help organizations make data-driven decisions. Microsoft Power BI Data Analyst (PL-300日本語版) certification is ideal for individuals who are interested in a career in data analysis, business intelligence, or reporting.

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Microsoft Power BI is a powerful business intelligence tool that enables organizations to visualize and analyze their data in a more efficient and effective way. It provides a comprehensive suite of tools for data preparation, data modeling, visualizations, and reporting. With the increasing demand for data-driven decision making, Microsoft Power BI is becoming a popular choice for organizations of all sizes. To validate the expertise of professionals in using Microsoft Power BI, Microsoft has introduced the PL-300 certification exam.

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

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The Microsoft PL-300J exam focuses on several key areas, including data modeling, visualization, data analysis expressions (DAX), and data transformation. Candidates will be tested on their ability to create and manage data models, design and develop visualizations, use DAX to create custom calculations, and transform data using Power Query. PL-300J exam also covers advanced topics such as creating and using advanced visuals, designing and implementing security and compliance, and integrating Power BI with other Microsoft products.

In order to prepare for the Microsoft PL-300 exam, candidates should have a good understanding of the Power BI platform and should be comfortable working with data to create reports and visualizations. There are many resources available to help candidates prepare for the exam, including online courses, study guides, and practice exams. By taking advantage of these resources, candidates can increase their chances of passing the exam and earning their Microsoft PL-300 certification.

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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