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

PL-300 Korean Exam Questions
  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Oct 17, 2026
  • Q & A: 472 Questions and Answers
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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
Certificate Validity Period:12 months
Passing Score:700 (out of 1000)
Exam Duration:180 minutes
Related Certifications:Microsoft Certified: Power Platform Associate
Microsoft Certified: Data Analyst Associate
Real Exam Qty:40-60
Exam Format:Case studies, Performance-based, Multiple choice (single/multiple response), Drag and drop, Simulation
Available Languages:Portuguese (Brazil), Chinese (Simplified), Japanese, Spanish, English, Italian, Korean, Chinese (Traditional), Indonesian, Russian, Arabic (Saudi Arabia), French, German
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 exam demo
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

Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Model the data25-30%- Optimize model performance
  • 1. Reduce cardinality and data size
    • 2. Use aggregations and composite models
      • 3. Optimize relationships and calculations
        - Create model calculations
        • 1. Implement aggregation and time intelligence
          • 2. Use CALCULATE and filter context
            • 3. Use DAX: calculated columns, calculated tables, measures
              - 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
                      Visualize and analyze data25-30%- Enhance reports with analytics
                      • 1. Apply conditional formatting and custom visuals
                        • 2. Use AI visuals, forecasts, and key influencers
                          • 3. Create paginated reports
                            - Create reports and dashboards
                            • 1. Apply filters, slicers, and drill-through
                              • 2. Choose appropriate visualizations
                                • 3. Create dashboards and pinned elements
                                  • 4. Design report layout, formatting, and interactivity
                                    - Perform data analysis
                                    • 1. Interpret results and identify trends
                                      • 2. Implement custom visuals and R/Python scripts
                                        • 3. Create and manage bookmarks and tooltips
                                          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. Choose storage modes: Import, DirectQuery, DirectLake
                                                    • 2. Identify and connect to data sources or shared semantic models
                                                      • 3. Configure data source settings, credentials, and privacy levels
                                                        • 4. Create and modify parameters
                                                          - Load and configure data
                                                          • 1. Define table structures and properties
                                                            • 2. Configure data refresh settings
                                                              • 3. Integrate data from multiple sources
                                                                Manage and secure Power BI15-20%- 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
                                                                            - Manage workspaces and assets
                                                                            • 1. Create and configure workspaces
                                                                              • 2. Manage data refresh and scheduled updates
                                                                                • 3. Publish, update, and organize reports/datasets

                                                                                  PL-300 Korean Exam Details and Your Advantages

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                                                                                  According to the latest exam information, the PL-300 Korean exam contains 40-60 questions within 180 minutes minutes. The testing engine reproduces that scope and calculates your final practice score — a useful reference for judging real-exam readiness.

                                                                                  At present, the PL-300 Korean exam requires a passing score of 700 (out of 1000), with a registration fee of USD 165. Microsoft sets both figures and may revise them, so confirm on the official site before you schedule.

                                                                                  The Microsoft Power BI Data Analyst (PL-300 Korean Version) blueprint covers these core domains:

                                                                                  • Visualize and analyze data (25-30%)
                                                                                  • Manage and secure Power BI (15-20%)
                                                                                  • Model the data (25-30%)

                                                                                  Further domains complete the official outline; the question bank addresses all of them.

                                                                                  With data, not guesswork. The PL-300 Korean testing engine is user-friendly and easy to install; upon completion of each practice test, it calculates your final score, giving you a concrete reference for the real exam. Behind the tools, professionals and IT specialists compose the materials, and every answer is expert-verified — aligned with the real exam's format across the Microsoft Power BI Data Analyst (PL-300 Korean Version) objectives. Before buying, try the free demo questions to test your knowledge; after buying, 24/7 Customer Service and Live Support assist with any problem, and you can ask the team for a discount code. That is the remarkable experience we work to provide.

                                                                                  Microsoft states the following prerequisites for the Microsoft Power BI Data Analyst (PL-300 Korean Version): No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts.

                                                                                  Check the authoritative wording on the official certification page before booking.

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

                                                                                  Question #1

                                                                                  Power BI Desktop을 사용하여 Power BI 보고서를 만들고 있습니다.
                                                                                  추세 및 기타 유용한 정보를 자동으로 보여주는 시각화 자료를 포함해야 합니다. 이 시각화 자료는 다른 시각화 자료의 선택 사항에 따라 업데이트되어야 합니다.
                                                                                  어떤 유형의 시각 자료를 사용해야 할까요?

                                                                                  • A. 주요 영향력자
                                                                                  • B. 분해 트리
                                                                                  • C. 질의응답
                                                                                  • D. 스마트 내러티브
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

                                                                                  Question #2


                                                                                  각 지역 값은 해당 값이 처음 나타난 견인선에만 표시됩니다. 이후에 나타나는 지역 값은 모두 공백입니다.
                                                                                  모든 행에 올바른 공백이 아닌 값이 포함되어 있는지 확인해야 합니다. 또한 개발 노력을 최소화하는 솔루션이어야 합니다.
                                                                                  어떤 열을 선택하고, 선택한 열에 대해 어떤 작업을 수행해야 할까요? 정답을 선택하려면 답변 영역에서 적절한 옵션을 고르세요. 참고: 각 선택 항목은 1점입니다.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  The deciding requirement in this question is to fill each blank Region cell with the most recent non-blank Region value using the fewest transformation steps. Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis-ready table. Use the selections preserved in the answer exhibit as the supported configuration. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. Microsoft lists this skill in the current PL-300 outline as " Resolve inconsistencies, unexpected or null values, and data quality issues " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Resolve inconsistencies, unexpected or null values, and data quality issues " | Study guide: https://learn.
                                                                                  microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

                                                                                  Question #3

                                                                                  Power BI 보고서에 테이블 시각화가 포함되어 있습니다. 해당 시각화에는 열이 하나 있습니다.
                                                                                  해당 열에는 0부터 1, 20까지의 정수가 포함되어 있습니다.
                                                                                  다음 요구 사항을 충족하려면 조건부 서식을 사용해야 합니다.
                                                                                  숫자가 포함된 텍스트를 읽지 않고도 값을 시각적으로 비교할 수 있습니다.
                                                                                  각기 다른 값에 대해 서로 다른 형식을 표시합니다.
                                                                                  A열의 숫자 값을 숨깁니다.
                                                                                  개발 노력을 최소화합니다.
                                                                                  어떤 형식을 사용해야 할까요?

                                                                                  • A. 글꼴 색상
                                                                                  • B. 데이터 막대
                                                                                  • C. 배경색
                                                                                  • D. 아이콘
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

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

                                                                                  Question #4

                                                                                  참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 편의를 위해 각 문제에 동일한 시나리오가 반복되어 있습니다. 각 문제는 목표와 선택지가 다르지만, 시나리오 내용은 이 시리즈의 모든 문제에서 완전히 동일합니다.
                                                                                  반복 시나리오 시작
                                                                                  Microsoft SQL Server 데이터베이스에 데이터베이스 다이어그램에 표시된 테이블이 있습니다. (다이어그램을 클릭하십시오.)

                                                                                  Power BI 모델 예시(그림을 클릭하세요)에 나와 있는 것처럼 Power BI 모델을 개발할 계획입니다.

                                                                                  Power BI를 사용하여 2013년부터 2015년까지의 데이터를 가져올 계획입니다.
                                                                                  제품 하위 카테고리 [하위 카테고리]에 NULL 값이 포함되어 있습니다.
                                                                                  반복되는 시나리오 종료.
                                                                                  파워 BI 모델을 구현합니다.
                                                                                  제품 하위 카테고리 테이블에 다음 수식을 사용하는 새 열을 추가해야 합니다.
                                                                                  [하위 카테고리]가 null이면 "NA"이고 그렇지 않으면 [하위 카테고리]입니다.
                                                                                  쿼리 편집기에서 어떤 명령어를 사용해야 할까요?

                                                                                  • A. 사용자 정의 열
                                                                                  • B. 사용자 정의 함수 호출
                                                                                  • C. 예시의 열
                                                                                  • D. 조건부 열
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

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

                                                                                  Question #5

                                                                                  Power BI 서비스에 시맨틱 모델을 게시합니다. 이 시맨틱 모델에는 온프레미스 Microsoft SQL Server 데이터베이스에 대한 연결이 포함되어 있습니다.
                                                                                  예약된 새로 고침을 구성하려고 시도했지만 적절한 온프레미스 데이터 게이트웨이를 선택할 수 없습니다.
                                                                                  게이트웨이 관리자에게 다음 사항을 확인하십시오.
                                                                                  귀하는 게이트웨이를 사용할 수 있는 적절한 권한을 가지고 있습니다.
                                                                                  데이터 소스는 게이트웨이에 생성되었습니다.
                                                                                  게이트웨이의 상태가 '실행 중'입니다.
                                                                                  게이트웨이를 사용할 수 없는 가장 유력한 이유는 무엇입니까?

                                                                                  • A. 해당 데이터 소스 유형은 온프레미스 데이터 게이트웨이에서 지원되지 않습니다.
                                                                                  • B. 데이터 소스에 대한 자격 증명이 유효하지 않습니다.
                                                                                  • C. 데이터 소스가 싱글 사인온(SSO)을 사용하도록 구성되어 있습니다.
                                                                                  • D. PBIX 파일의 서버 이름이 게이트웨이의 데이터 소스 이름과 일치하지 않습니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

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