Microsoft PL-300日本語 Q&A - 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 11, 2026
  • Q & A: 515 Questions and Answers
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  • PL-300日本語 Testing Engine
  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
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  • Q & A: 515 Questions and Answers
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Microsoft Power BI Data Analyst Exam Certification Details:

Passing Score700 / 1000
Number of Questions40-60
Schedule ExamPearson VUE
Duration180 mins
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Exam Price$165 (USD)
Exam CodePL-300
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Exam NameMicrosoft Certified - Power BI Data Analyst Associate

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

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • The passing score: 700

  • Number of Questions: 40-60 questions

  • Time Duration: 180 minutes

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

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:

  • 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.

  • 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.

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

  • 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.

  • 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.

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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

Microsoft PL-300日本語 Exam Syllabus Topics:

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