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

PL-300 Korean real exams

Exam Code: PL-300-KR

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

Updated: Oct 25, 2026

Q & A: 472 Questions and Answers

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Introduction of Microsoft PL-300 Exam

Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

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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:

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

  • 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.

  • 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.

  • 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.

Learn more about the exam

The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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

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Microsoft Power BI Data Analyst Certification Exam Reference

Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize and analyze data25-30%- Enhance reports with analytics
  • 1. Create paginated reports
    • 2. Use AI visuals, forecasts, and key influencers
      • 3. Apply conditional formatting and custom visuals
        - Perform data analysis
        • 1. Interpret results and identify trends
          • 2. Create and manage bookmarks and tooltips
            • 3. Implement custom visuals and R/Python scripts
              - Create reports and dashboards
              • 1. Apply filters, slicers, and drill-through
                • 2. Choose appropriate visualizations
                  • 3. Design report layout, formatting, and interactivity
                    • 4. Create dashboards and pinned elements
                      Topic 2: Model the data25-30%- Optimize model performance
                      • 1. Use aggregations and composite models
                        • 2. Reduce cardinality and data size
                          • 3. Optimize relationships and calculations
                            - Design data models
                            • 1. Define tables, columns, and hierarchies
                              • 2. Create relationships: cardinality, cross-filter direction, security
                                • 3. Implement role-playing dimensions
                                  • 4. Create common date tables
                                    - Create model calculations
                                    • 1. Implement aggregation and time intelligence
                                      • 2. Use DAX: calculated columns, calculated tables, measures
                                        • 3. Use CALCULATE and filter context
                                          Topic 3: Manage and secure Power BI15-20%- 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
                                                      - Implement security and governance
                                                      • 1. Apply data sensitivity labels and protection
                                                        • 2. Configure row-level security (RLS) and object-level security
                                                          • 3. Manage permissions and access
                                                            Topic 4: Prepare the data25-30%- Get or connect to data
                                                            • 1. Choose storage modes: Import, DirectQuery, DirectLake
                                                              • 2. Configure data source settings, credentials, and privacy levels
                                                                • 3. Identify and connect to data sources or shared semantic models
                                                                  • 4. Create and modify parameters
                                                                    - Load and configure data
                                                                    • 1. Integrate data from multiple sources
                                                                      • 2. Configure data refresh settings
                                                                        • 3. Define table structures and properties
                                                                          - 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

                                                                                  Microsoft Power BI Data Analyst (PL-300 Korean Version) Sample Questions:

                                                                                  Question #1

                                                                                  대시보드가 ​​여러 개 있습니다.
                                                                                  Power BI 서비스에서 제공되는 대시보드를 사용자가 탐색할 때 개인 식별 정보(PII)가 포함된 대시보드를 확인할 수 있도록 해야 합니다. 이 솔루션은 구성 작업량을 최소화하고 대시보드 디자인에 미치는 영향을 최소화해야 합니다.
                                                                                  무엇을 사용해야 할까요?

                                                                                  • A. Microsoft 정보 보호 민감도 레이블
                                                                                  • B. Active Directory 그룹
                                                                                  • C. 댓글
                                                                                  • D. 타일
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Question #2

                                                                                  데이터 레이크에서 CSV 파일을 가져오는 Customer라는 쿼리가 있습니다. 이 쿼리에는 그림과 같이 500개의 행이 포함되어 있습니다.

                                                                                  각 파일에는 데이터 레이크로 데이터를 로드할 때마다 새로 추가되거나 수정된 ​​행의 변경 사항이 포함되어 있습니다. 여러 파일에 동일한 고객 ID가 있을 수 있습니다.
                                                                                  각 고객 ID별로 마지막으로 수정된 행만 남겨두어야 합니다.
                                                                                  어떤 세 가지 행동을 순서대로 수행해야 할까요? 정답을 선택하려면, 행동 목록에서 적절한 행동을 골라 답란에 옮겨 올바른 순서대로 배열하세요.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:
                                                                                  The required outcome is to keep only the last modified row for each customer ID. The completed mapping shown in the answer area is correct. Append stacks records vertically and therefore cannot bring related attributes onto the same row; that requires a key-based merge. A merge joins columns from related tables by matching key values. That is the appropriate operation when one output row must contain attributes from both sources; append would stack rows instead. The current skills outline describes this competency as " Group and aggregate rows " . The join type also preserves the inclusion rule stated in the scenario while avoiding an unrelated increase in table grain.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/merge-queries-overview | PL-300 objective: " Group and aggregate rows " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

                                                                                  Question #3

                                                                                  Microsoft Power BI 서비스를 사용하여 대시보드를 만듭니다. 이 대시보드에는 현재 연도의 총 매출액을 보여주는 카드 시각화가 포함되어 있습니다. 작업 영역에서 뷰어 역할을 사용하여 사용자에게 대시보드 액세스 권한을 부여합니다. 한 사용자가 카드 시각화에 표시된 수치에 대한 일일 알림을 받고 싶어합니다. 이 알림을 자동화해야 합니다. 어떻게 해야 할까요?

                                                                                  • A. 구독을 생성하세요.
                                                                                  • B. 대시보드를 사용자에게 공유합니다.
                                                                                  • C. 댓글에 사용자를 태그하세요.
                                                                                  • D. 데이터 알림을 생성합니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).

                                                                                  Question #4

                                                                                  Power BI 서비스의 시맨틱 모델에 대한 라이브 연결을 사용하는 시맨틱 모델이 있습니다. 이 라이브 연결만 사용하는 RPT1이라는 Power BI 보고서를 만들어야 합니다.
                                                                                  RPT1에 추가할 수 있는 구성 요소 세 가지는 무엇입니까? 각 정답은 완전한 해결책을 제시합니다.

                                                                                  • A. 새로운 테이블
                                                                                  • B. 새로운 칼럼
                                                                                  • C. 계산 열
                                                                                  • D. 계산된 표
                                                                                  • E. 보고 측정
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C,D,E  🗳️

                                                                                  Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).

                                                                                  Question #5

                                                                                  온-프레미스 Power BI Report Server가 있습니다.
                                                                                  Power BI Desktop에서 보고서를 만들고 보고서 서버에 보고서를 게시할 계획입니다.
                                                                                  보고서는 어떤 데이터 소스를 사용해야 합니까?

                                                                                  • A. Microsoft Azure SQL 데이터베이스
                                                                                  • B. 마이크로소프트 엑셀
                                                                                  • C. Microsoft SQL Server 데이터베이스
                                                                                  • D. Microsoft SQL Server Analysis Services(SSAS) 데이터베이스
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

                                                                                  Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).

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