Microsoft PL-300 Korean valid study dumps : Microsoft Power BI Data Analyst (PL-300 Korean Version)

  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 10, 2026
  • Q&As: 515 Questions and Answers

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Microsoft Power BI Data Analyst Exam Certification Details:

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

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.

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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.

  • 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.

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  • 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”.

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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 ValidDumps 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.

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

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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