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Last Updated: Aug 02, 2026

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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.

Skills measured

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

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

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Microsoft PL-300 Korean Exam Syllabus Topics:

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