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Product Description Exam Number/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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Microsoft Power BI Data Analyst (PL-300 Deutsch Version): PL-300 Deutsch Exam Premium File as PDF & Test Engine

PL-300 Deutsch

Last Updated: Aug 09, 2026

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Fast2test Practice Exams for Microsoft Microsoft Certified: Power BI Data Analyst Associate PL-300 Deutsch are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development.

Skills measured

  • Visualize and analyze the data (25-30%)
  • Deploy and maintain assets (20-25%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Model the data (30-35%)
  • Prepare the data (15-20%)

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

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Fast2test is suitable for busy professional, who can know prepare for Certification exam in a week. Our PL-300 Deutsch practice materials has been prepared by the team of Microsoft experts after an in-depth analysis of vendor recommended syllabus. Now you can pass Microsoft certification exam with our PL-300 Deutsch study material on the first attempt.

PL-300 Deutsch exam is an important Microsoft Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Microsoft technical experts have collected and certified 515 questions and answers of Microsoft Certified: Power BI Data Analyst Associate - Microsoft Power BI Data Analyst (PL-300 Deutsch Version) which are designed to cover the knowledge points of the Planning and Designing Microsoft Superdome Server Solutions and enhance candidates' abilities. With Fast2test PL-300 Deutsch preparation tests you can pass the Microsoft Certified: Power BI Data Analyst Associate - Microsoft Power BI Data Analyst (PL-300 Deutsch Version) easily, get the Microsoft certification and go further on Microsoft career path.

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Microsoft Power BI Data Analyst Exam Certification Details:

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

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

Downloadable, Interactive PL-300 Deutsch Testing engines

Our Microsoft Power BI Data Analyst (PL-300 Deutsch Version) Preparation Material provides you everything you will need to take a Microsoft Microsoft Certified: Power BI Data Analyst Associate PL-300 Deutsch examination. Details are researched and produced by Microsoft Certification Experts who are constantly using industry experience to produce precise, and logical.

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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
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
        - Optimize model performance
        • 1. Reduce cardinality and data size
          • 2. Use aggregations and composite models
            • 3. Optimize relationships and calculations
              - Design data models
              • 1. Define tables, columns, and hierarchies
                • 2. Create common date tables
                  • 3. Create relationships: cardinality, cross-filter direction, security
                    • 4. Implement role-playing dimensions
                      Manage and secure Power BI15-20%- Manage workspaces and assets
                      • 1. Create and configure workspaces
                        • 2. Manage data refresh and scheduled updates
                          • 3. Publish, update, and organize reports/datasets
                            - Deploy and distribute content
                            • 1. Share reports, dashboards, and apps
                              • 2. Embed content in applications or websites
                                • 3. Monitor usage and performance
                                  - 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
                                        Prepare the data25-30%- Get or connect to data
                                        • 1. Configure data source settings, credentials, and privacy levels
                                          • 2. Create and modify parameters
                                            • 3. Choose storage modes: Import, DirectQuery, DirectLake
                                              • 4. Identify and connect to data sources or shared semantic models
                                                - Load and configure data
                                                • 1. Define table structures and properties
                                                  • 2. Integrate data from multiple sources
                                                    • 3. Configure data refresh settings
                                                      - 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
                                                              Visualize and analyze data25-30%- Enhance reports with analytics
                                                              • 1. Use AI visuals, forecasts, and key influencers
                                                                • 2. Apply conditional formatting and custom visuals
                                                                  • 3. Create paginated reports
                                                                    - Create reports and dashboards
                                                                    • 1. Apply filters, slicers, and drill-through
                                                                      • 2. Design report layout, formatting, and interactivity
                                                                        • 3. Create dashboards and pinned elements
                                                                          • 4. Choose appropriate visualizations
                                                                            - Perform data analysis
                                                                            • 1. Implement custom visuals and R/Python scripts
                                                                              • 2. Interpret results and identify trends
                                                                                • 3. Create and manage bookmarks and tooltips

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