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Exam Code: PL-300
Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate

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PL-300 Deutsch

Last Updated: Aug 24, 2026

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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

  • Developing dashboards that provide actionable insights into business performance

  • Understanding business context, including organizational strategy and objectives

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

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

Solutions

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 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:

  • India; INR 500,000

  • United States; USD 90,000

  • Canada; CAD 70,000

  • Australia; AUD 75,000

  • United Kingdom; POUNDS 60,000

Schedule exam

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

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data25-30%- Create model calculations
  • 1. Implement aggregation and time intelligence
    • 2. Use DAX: calculated columns, calculated tables, measures
      • 3. Use CALCULATE and filter context
        - Optimize model performance
        • 1. Optimize relationships and calculations
          • 2. Use aggregations and composite models
            • 3. Reduce cardinality and data size
              - Design data models
              • 1. Define tables, columns, and hierarchies
                • 2. Implement role-playing dimensions
                  • 3. Create common date tables
                    • 4. Create relationships: cardinality, cross-filter direction, security
                      Topic 2: 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
                            - Create reports and dashboards
                            • 1. Choose appropriate visualizations
                              • 2. Apply filters, slicers, and drill-through
                                • 3. Design report layout, formatting, and interactivity
                                  • 4. Create dashboards and pinned elements
                                    - Enhance reports with analytics
                                    • 1. Create paginated reports
                                      • 2. Use AI visuals, forecasts, and key influencers
                                        • 3. Apply conditional formatting and custom visuals
                                          Topic 3: Prepare the data25-30%- Profile and clean data
                                          • 1. Manage data types, columns, and rows
                                            • 2. Transform data using Power Query Editor
                                              • 3. Evaluate data statistics and column properties
                                                • 4. Resolve inconsistencies, null values, and errors
                                                  - Load and configure data
                                                  • 1. Integrate data from multiple sources
                                                    • 2. Define table structures and properties
                                                      • 3. Configure data refresh settings
                                                        - 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
                                                                Topic 4: Manage and secure Power BI15-20%- Deploy and distribute content
                                                                • 1. Share reports, dashboards, and apps
                                                                  • 2. Monitor usage and performance
                                                                    • 3. Embed content in applications or websites
                                                                      - 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
                                                                            - 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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