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Microsoft PL-300 : Microsoft Power BI Data Analyst

PL-300 real exams

Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Aug 11, 2026

Q & A: 515 Questions and Answers

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About Microsoft PL-300 Exam

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PL-300 exam dumps

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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:

  • 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.

  • 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.

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

  • 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.

  • 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.

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

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

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Time Duration: 180 minutes

  • The passing score: 700

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

  • Number of Questions: 40-60 questions

Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Visualize and analyze data25-30%- 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. 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
                      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
                              - Profile and clean data
                              • 1. Evaluate data statistics and column properties
                                • 2. Manage data types, columns, and rows
                                  • 3. Transform data using Power Query Editor
                                    • 4. Resolve inconsistencies, null values, and errors
                                      - Load and configure data
                                      • 1. Configure data refresh settings
                                        • 2. Define table structures and properties
                                          • 3. Integrate data from multiple sources
                                            Model the data25-30%- Design data models
                                            • 1. Create common date tables
                                              • 2. Define tables, columns, and hierarchies
                                                • 3. Create relationships: cardinality, cross-filter direction, security
                                                  • 4. Implement role-playing dimensions
                                                    - Optimize model performance
                                                    • 1. Reduce cardinality and data size
                                                      • 2. Optimize relationships and calculations
                                                        • 3. Use aggregations and composite models
                                                          - Create model calculations
                                                          • 1. Implement aggregation and time intelligence
                                                            • 2. Use CALCULATE and filter context
                                                              • 3. Use DAX: calculated columns, calculated tables, measures
                                                                Manage and secure Power BI15-20%- 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
                                                                      - Manage workspaces and assets
                                                                      • 1. Publish, update, and organize reports/datasets
                                                                        • 2. Manage data refresh and scheduled updates
                                                                          • 3. Create and configure workspaces
                                                                            - Deploy and distribute content
                                                                            • 1. Share reports, dashboards, and apps
                                                                              • 2. Monitor usage and performance
                                                                                • 3. Embed content in applications or websites
                                                                                  PL-300 Related Exams
                                                                                  PL-300J - Microsoft Power BI Data Analyst (PL-300日本語版)
                                                                                  PL-300-Deutsch - Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
                                                                                  PL-300-KR - Microsoft Power BI Data Analyst (PL-300 Korean Version)
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