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

PL-300日本語 Exam Questions
  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 31, 2026
  • Q & A: 472 Questions and Answers
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About Microsoft PL-300日本語 Exam Guide

Microsoft PL-300 exam is designed to test a candidate's knowledge and skills in using Power BI to create data models, reports, and dashboards. PL-300J exam covers various topics such as data preparation, data modeling, data visualization, and data analysis. It also tests a candidate's ability to connect to various data sources, import data, and transform data using Power Query.

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Earning the PL-300 certification demonstrates to employers and colleagues that the candidate has the skills to use Power BI for data analysis effectively. Microsoft Power BI Data Analyst (PL-300日本語版) certification is an excellent way for individuals to advance their careers in data analysis and gain recognition for their skills. Additionally, earning the certification can lead to higher salaries, promotion opportunities, and increased job security.

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Microsoft PL-300日本語 exam demo

Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is designed for individuals who want to demonstrate their skills in using Microsoft Power BI for data analysis. PL-300J exam is intended for data analysts and business intelligence professionals who use Power BI for data visualization, reporting, and data analysis. PL-300J exam is a part of the Microsoft Power Platform certification program, which also includes other exams such as the Power Apps Developer Exam and the Power Platform Functional Consultant Exam.

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

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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