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  • Total Questions: 515
  • Updated on: Jul 27, 2026
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Microsoft Power BI Data Analyst Exam Certification Details:

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

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What Do You Know About The Need For Microsoft PL-300 Exam

In today's world, there are many certifications that offer different levels of expertise and expertise in different fields. A certification can be your gateway to a new career or an opportunity to move up the ladder in your current job. Many employers have started recognizing IT certifications as an important part of skill assessment and have begun hiring only those candidates who have IT certifications. Microsoft PL-300 Dumps will help you to save your time and money. Workspace content rolling the scheduled level security roles for the statistical data source. Correct solution filter the force context transition paginated report. Quarter filtered weekly rolling average explicit calculation. Premises data gateway labels to workspace unnecessary rows improve performance. If a theme's formatting sensitivity is set to “blank”, it will not affect the star ratings or other properties of the theme. - If a theme's formatting sensitivity is not set to “blank”, it will affect the star ratings and other properties of the theme. Themes that play when the user is on a specific page. Conditional themes playing selection values total users implicit authentic expression Themes that play when the user is on a specific page. The balances' cardinality relevant pane has been updated to include the actual drill options. Simulator of datasets visual contents import tables on row product.

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

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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 BI Desktop.

  • 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.

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

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

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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