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

PL-300日本語 real exams

Exam Code: PL-300J

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

Updated: Aug 23, 2026

Q & A: 472 Questions and Answers

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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:

  • Creating custom data models that support analysis and reporting requirements

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

  • Understanding business context, including organizational strategy and objectives

  • Developing dashboards that provide actionable insights into business performance

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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:

  • Australia; AUD 75,000

  • India; INR 500,000

  • United States; USD 90,000

  • United Kingdom; POUNDS 60,000

  • Canada; CAD 70,000

What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

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

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The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.

Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Model the data25-30%- Design data models
  • 1. Implement role-playing dimensions
    • 2. Define tables, columns, and hierarchies
      • 3. Create relationships: cardinality, cross-filter direction, security
        • 4. Create common date tables
          - Create model calculations
          • 1. Use CALCULATE and filter context
            • 2. Implement aggregation and time intelligence
              • 3. Use DAX: calculated columns, calculated tables, measures
                - Optimize model performance
                • 1. Optimize relationships and calculations
                  • 2. Use aggregations and composite models
                    • 3. Reduce cardinality and data size
                      Prepare the data25-30%- Get or connect to data
                      • 1. Create and modify parameters
                        • 2. Configure data source settings, credentials, and privacy levels
                          • 3. Choose storage modes: Import, DirectQuery, DirectLake
                            • 4. Identify and connect to data sources or shared semantic models
                              - 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. 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
                                            Visualize and analyze data25-30%- Create reports and dashboards
                                            • 1. Create dashboards and pinned elements
                                              • 2. Apply filters, slicers, and drill-through
                                                • 3. Choose appropriate visualizations
                                                  • 4. Design report layout, formatting, and interactivity
                                                    - 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. Create and manage bookmarks and tooltips
                                                              • 3. Interpret results and identify trends
                                                                Manage and secure Power BI15-20%- Manage workspaces and assets
                                                                • 1. Publish, update, and organize reports/datasets
                                                                  • 2. Create and configure workspaces
                                                                    • 3. Manage data refresh and scheduled updates
                                                                      - 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

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