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

PL-300 Deutsch real exams

Exam Code: PL-300-Deutsch

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

Updated: Sep 26, 2026

Q & A: 472 Questions and Answers

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About Microsoft PL-300 Deutsch Exam

Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

  • You have at least one year of experience using Power BI Desktop.

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

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

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There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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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 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data30-40%- Develop a data model
  • 1. Create DAX calculations
    • 2. Optimize model performance
      - Design a data model
      • 1. Define relationships and cardinality
        • 2. Design star schema
          Topic 2: Deploy and maintain assets15-20%- Secure and monitor Power BI
          • 1. Monitor usage and performance
            • 2. Implement row-level security
              - Manage workspaces and datasets
              • 1. Publish and manage datasets
                • 2. Configure refresh schedules
                  Topic 3: Visualize and analyze data25-35%- Enhance reports for usability
                  • 1. Apply filters and slicers
                    • 2. Implement drill-through and navigation
                      - Create reports and dashboards
                      • 1. Create visuals and KPIs
                        • 2. Design report layouts
                          Topic 4: Prepare the data15-20%- Clean, transform, and load data
                          • 1. Clean data using Power Query
                            • 2. Shape and transform data
                              - Get data from data sources
                              • 1. Identify and connect to data sources
                                • 2. Select storage modes

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