Microsoft PL-300 Deutsch Exam : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

  • Exam Code: PL-300-Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 01, 2026
  • Q & A: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Exam Questions

It is not an uncommon phenomenon that many people become successful with the help of an Microsoft Microsoft Certified: Power BI Data Analyst Associate certificate. Obviously, we can acquire the qualifications and qualities essential to our future career and success by obtaining an Microsoft certificate. Compared with people without a certificate, candidates have already gained an upper hand at the very beginning of building your own career. However, preparing for the exam is not an effortless thing, which is strenuous for most of the candidates. Thus you need a befitting PL-300 Deutsch exam training program as your assistant. As for our PL-300 Deutsch exam prep material, the systematic knowledge and solid academic foundation will make it easy for you to understand and absorb new-developed theories about the PL-300 Deutsch test training vce based on our research efforts; With the PL-300 Deutsch exam study pdf you can acquire the specialized knowledge and will pass exam without wasting time and energy.

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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:

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

  • 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.

  • 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.

  • 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.

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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

Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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