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100% Microsoft PL-300 Korean Guaranteed Success With Testing Engine

Exam Code: PL-300-KR

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

Updated: Jul 23, 2026

Number: 515 Q&As with Testing Engine

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Microsoft PL-300 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Price:USD 165
Exam Duration:180 minutes
Related Certifications:Microsoft Certified: Data Analyst Associate
Microsoft Certified: Power Platform Associate
Certificate Validity Period:12 months
Passing Score:700 (out of 1000)
Real Exam Qty:40-60
Exam Format:Multiple choice (single/multiple response), Drag and drop, Performance-based, Case studies, Simulation
Available Languages:English, Japanese, Chinese (Simplified), Chinese (Traditional), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Italian, Indonesian
Recommended Training:Microsoft Learn - PL-300 Learning Path
Microsoft Official Course: PL-300T00
Exam Registration:Microsoft Learn - Schedule Exam
Pearson VUE Registration
Sample Questions:Microsoft PL-300 Korean Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Model the data (30-35%)
  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)
  • Visualize and analyze the data (25-30%)

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

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.

Microsoft Power BI Data Analyst Exam Certification Details:

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

Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Manage and secure Power BI15-20%- Manage workspaces and assets
  • 1. Create and configure workspaces
    • 2. Manage data refresh and scheduled updates
      • 3. Publish, update, and organize reports/datasets
        - 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
              - Deploy and distribute content
              • 1. Embed content in applications or websites
                • 2. Monitor usage and performance
                  • 3. Share reports, dashboards, and apps
                    Prepare the data25-30%- Profile and clean data
                    • 1. Manage data types, columns, and rows
                      • 2. Transform data using Power Query Editor
                        • 3. Evaluate data statistics and column properties
                          • 4. Resolve inconsistencies, null values, and errors
                            - 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
                                    - Load and configure data
                                    • 1. Define table structures and properties
                                      • 2. Configure data refresh settings
                                        • 3. Integrate data from multiple sources
                                          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 relationships: cardinality, cross-filter direction, security
                                                  • 2. Define tables, columns, and hierarchies
                                                    • 3. Create common date tables
                                                      • 4. Implement role-playing dimensions
                                                        - Create model calculations
                                                        • 1. Implement aggregation and time intelligence
                                                          • 2. Use DAX: calculated columns, calculated tables, measures
                                                            • 3. Use CALCULATE and filter context
                                                              Visualize and analyze data25-30%- Enhance reports with analytics
                                                              • 1. Apply conditional formatting and custom visuals
                                                                • 2. Create paginated reports
                                                                  • 3. Use AI visuals, forecasts, and key influencers
                                                                    - 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. Interpret results and identify trends
                                                                              • 2. Implement custom visuals and R/Python scripts
                                                                                • 3. Create and manage bookmarks and tooltips

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