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

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: Jul 27, 2026

Q & A: 515 Questions and Answers

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About Microsoft PL-300日本語 Exam

Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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:

  • 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.

  • 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.

20-30 hours’ preparation before the PL-300日本語 exam

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Benefits

The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. Prep4pass Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - Design data models
        • 1. Implement role-playing dimensions
          • 2. Create common date tables
            • 3. Define tables, columns, and hierarchies
              • 4. Create relationships: cardinality, cross-filter direction, security
                - Optimize model performance
                • 1. Reduce cardinality and data size
                  • 2. Use aggregations and composite models
                    • 3. Optimize relationships and calculations
                      Topic 2: 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. Interpret results and identify trends
                              • 2. Create and manage bookmarks and tooltips
                                • 3. Implement custom visuals and R/Python scripts
                                  - Create reports and dashboards
                                  • 1. Create dashboards and pinned elements
                                    • 2. Choose appropriate visualizations
                                      • 3. Design report layout, formatting, and interactivity
                                        • 4. Apply filters, slicers, and drill-through
                                          Topic 3: 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
                                                  - Get or connect to data
                                                  • 1. Choose storage modes: Import, DirectQuery, DirectLake
                                                    • 2. Identify and connect to data sources or shared semantic models
                                                      • 3. Create and modify parameters
                                                        • 4. Configure data source settings, credentials, and privacy levels
                                                          - Load and configure data
                                                          • 1. Configure data refresh settings
                                                            • 2. Integrate data from multiple sources
                                                              • 3. Define table structures and properties
                                                                Topic 4: Manage and secure Power BI15-20%- Implement security and governance
                                                                • 1. Apply data sensitivity labels and protection
                                                                  • 2. Manage permissions and access
                                                                    • 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
                                                                            - Manage workspaces and assets
                                                                            • 1. Publish, update, and organize reports/datasets
                                                                              • 2. Create and configure workspaces
                                                                                • 3. Manage data refresh and scheduled updates

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