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

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: Sep 19, 2026

Q & A: 472 Questions and Answers

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Microsoft Power BI Data Analyst Certification Exam is one of the most popular certification exams in the market. However, most candidates don't pass it on their first attempt. The reasons for this are many, but the most common ones are not having enough time to prepare, not knowing where to start and what to study, or not having access to quality learning materials. To help you overcome these obstacles and pass Microsoft Power BI Data Analyst Certification Exam easily, our experts have created a comprehensive Microsoft PL-300 Dumps that will give you everything you need to know to pass Microsoft Power BI Data Analyst Certification Exam quickly and efficiently.

This study guide contains everything you will need to have a deep understanding of this certification and take it with confidence. Our experts have taken great care in creating this study guide by using only high-quality resources available on the internet. Our goal is to help you understand each concept so that when taking the exam, there will be no surprises that throw off your momentum or cause you any stress during your preparation or while taking the exam itself.

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:

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

  • Developing dashboards that provide actionable insights into business performance

  • Understanding business context, including organizational strategy and objectives

  • Creating custom data models that support analysis and reporting requirements

What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam

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

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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. Actual4Exams 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

Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize and analyze data25-30%- Perform data analysis
  • 1. Implement custom visuals and R/Python scripts
    • 2. Create and manage bookmarks and tooltips
      • 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. Design report layout, formatting, and interactivity
                • 2. Apply filters, slicers, and drill-through
                  • 3. Choose appropriate visualizations
                    • 4. Create dashboards and pinned elements
                      Topic 2: 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
                              - Optimize model performance
                              • 1. Reduce cardinality and data size
                                • 2. Optimize relationships and calculations
                                  • 3. Use aggregations and composite models
                                    - Create model calculations
                                    • 1. Use DAX: calculated columns, calculated tables, measures
                                      • 2. Implement aggregation and time intelligence
                                        • 3. Use CALCULATE and filter context
                                          Topic 3: Manage and secure Power BI15-20%- Deploy and distribute content
                                          • 1. Monitor usage and performance
                                            • 2. Embed content in applications or websites
                                              • 3. Share reports, dashboards, and apps
                                                - 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
                                                      - Manage workspaces and assets
                                                      • 1. Create and configure workspaces
                                                        • 2. Manage data refresh and scheduled updates
                                                          • 3. Publish, update, and organize reports/datasets
                                                            Topic 4: Prepare the data25-30%- 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. Evaluate data statistics and column properties
                                                                      • 3. Resolve inconsistencies, null values, and errors
                                                                        • 4. Manage data types, columns, and rows
                                                                          - Get or connect to data
                                                                          • 1. Choose storage modes: Import, DirectQuery, DirectLake
                                                                            • 2. Configure data source settings, credentials, and privacy levels
                                                                              • 3. Create and modify parameters
                                                                                • 4. Identify and connect to data sources or shared semantic models
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