PL-300日本語 Q&As - in .pdf

PL-300日本語 pdf
  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 27, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 27, 2026
  • Q & A: 472 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 27, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Microsoft PL-300 certification exam is designed for individuals who are interested in building a career as a data analyst using Microsoft Power BI. PL-300J exam tests the skills and knowledge required to design and develop business intelligence solutions using Power BI. It is an intermediate-level exam and requires candidates to have a good understanding of the Power BI platform, data modeling, and data visualization.

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

The Microsoft Power BI Data Analyst (PL-300日本語版) certification is perfect for individuals who work with data on a regular basis and want to improve their skills in using Power BI to analyze and visualize data. The PL-300 certification exam is designed to test the candidate's ability to work with data, create reports and dashboards, and communicate insights effectively. PL-300J exam focuses on real-world scenarios, ensuring that candidates are equipped with the skills required to succeed in the workplace.

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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