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

PL-300 Deutsch real exams

Exam Code: PL-300-Deutsch

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

Updated: Sep 13, 2026

Q & A: 472 Questions and Answers

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

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Is Microsoft Power BI Data Analyst Certification Exam Worth It

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.

The Importance Of Microsoft Power BI Data Analyst Certification Exam For A Career In IT

The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.

There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at Prep4cram our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.

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:

  • 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.

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

  • 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.

  • 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.

  • 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.

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

Microsoft Power BI Data Analyst Exam Certification Details:

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data25-30%- Optimize model performance
  • 1. Optimize relationships and calculations
    • 2. Use aggregations and composite models
      • 3. Reduce cardinality and data size
        - Design data models
        • 1. Create common date tables
          • 2. Create relationships: cardinality, cross-filter direction, security
            • 3. Implement role-playing dimensions
              • 4. Define tables, columns, and hierarchies
                - Create model calculations
                • 1. Use CALCULATE and filter context
                  • 2. Implement aggregation and time intelligence
                    • 3. Use DAX: calculated columns, calculated tables, measures
                      Topic 2: Visualize and analyze data25-30%- Create reports and dashboards
                      • 1. Apply filters, slicers, and drill-through
                        • 2. Create dashboards and pinned elements
                          • 3. Design report layout, formatting, and interactivity
                            • 4. Choose appropriate visualizations
                              - Enhance reports with analytics
                              • 1. Use AI visuals, forecasts, and key influencers
                                • 2. Apply conditional formatting and custom visuals
                                  • 3. Create paginated reports
                                    - Perform data analysis
                                    • 1. Create and manage bookmarks and tooltips
                                      • 2. Interpret results and identify trends
                                        • 3. Implement custom visuals and R/Python scripts
                                          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. Apply data sensitivity labels and protection
                                                  • 2. Manage permissions and access
                                                    • 3. Configure row-level security (RLS) and object-level security
                                                      - Manage workspaces and assets
                                                      • 1. Create and configure workspaces
                                                        • 2. Publish, update, and organize reports/datasets
                                                          • 3. Manage data refresh and scheduled updates
                                                            Topic 4: Prepare the data25-30%- 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
                                                                    - Load and configure data
                                                                    • 1. Integrate data from multiple sources
                                                                      • 2. Configure data refresh settings
                                                                        • 3. Define table structures and properties
                                                                          - 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

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