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Certification objectives can change, so current preparation matters in 2026. Actual4dump reviews and updates its PL-300 Korean practice questions for Microsoft Power BI Data Analyst (PL-300 Korean Version), and every purchase includes 365 days of free updates.

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Microsoft PL-300 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Passing Score:700 (out of 1000)
Certificate Validity Period:12 months
Related Certifications:Microsoft Certified: Power Platform Associate
Microsoft Certified: Data Analyst Associate
Exam Format:Case studies, Drag and drop, Performance-based, Simulation, Multiple choice (single/multiple response)
Available Languages:Japanese, Arabic (Saudi Arabia), Spanish, Russian, Indonesian, Chinese (Traditional), Italian, Chinese (Simplified), German, Korean, English, French, Portuguese (Brazil)
Real Exam Qty:40-60
Exam Price:USD 165
Exam Duration:180 minutes
Recommended Training:Microsoft Official Course: PL-300T00
Microsoft Learn - PL-300 Learning Path
Exam Registration:Pearson VUE Registration
Microsoft Learn - Schedule Exam
Sample Questions: DOWNLOAD 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
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. Design report layout, formatting, and interactivity
                • 2. Choose appropriate visualizations
                  • 3. Create dashboards and pinned elements
                    • 4. Apply filters, slicers, and drill-through
                      Manage and secure Power BI15-20%- Implement security and governance
                      • 1. Configure row-level security (RLS) and object-level security
                        • 2. Manage permissions and access
                          • 3. Apply data sensitivity labels and protection
                            - Deploy and distribute content
                            • 1. Embed content in applications or websites
                              • 2. Monitor usage and performance
                                • 3. Share reports, dashboards, and apps
                                  - Manage workspaces and assets
                                  • 1. Manage data refresh and scheduled updates
                                    • 2. Create and configure workspaces
                                      • 3. Publish, update, and organize reports/datasets
                                        Model the data25-30%- Design data models
                                        • 1. Implement role-playing dimensions
                                          • 2. Create relationships: cardinality, cross-filter direction, security
                                            • 3. Define tables, columns, and hierarchies
                                              • 4. Create common date tables
                                                - Create model calculations
                                                • 1. Use CALCULATE and filter context
                                                  • 2. Implement aggregation and time intelligence
                                                    • 3. Use DAX: calculated columns, calculated tables, measures
                                                      - Optimize model performance
                                                      • 1. Optimize relationships and calculations
                                                        • 2. Use aggregations and composite models
                                                          • 3. Reduce cardinality and data size
                                                            Prepare the data25-30%- Load and configure data
                                                            • 1. Define table structures and properties
                                                              • 2. Integrate data from multiple sources
                                                                • 3. Configure data refresh settings
                                                                  - Get or connect to data
                                                                  • 1. Configure data source settings, credentials, and privacy levels
                                                                    • 2. Identify and connect to data sources or shared semantic models
                                                                      • 3. Choose storage modes: Import, DirectQuery, DirectLake
                                                                        • 4. Create and modify parameters
                                                                          - 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

                                                                                  FAQs for Microsoft Power BI Data Analyst (PL-300 Korean Version) Candidates

                                                                                  The PL-300 Korean exam leads to the Microsoft Certified: Power BI Data Analyst Associate certification from Microsoft. It is positioned at the Associate level. The exam validates the knowledge and skills expected of candidates preparing for Microsoft Power BI Data Analyst (PL-300 Korean Version).

                                                                                  Related certifications include:

                                                                                  • Microsoft Certified: Data Analyst Associate
                                                                                  • Microsoft Certified: Power Platform Associate

                                                                                  The PL-300 Korean exam includes 40-60 questions and allows 180 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.

                                                                                  The passing score for PL-300 Korean is 700 (out of 1000), and the official exam fee is USD 165. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.

                                                                                  No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts

                                                                                  Eligibility rules can change, so confirm the current requirements on the official exam page before registering.

                                                                                  You can register through the official channels listed below:

                                                                                  The available exam delivery method is Online proctored or onsite at Pearson VUE test centers.

                                                                                  The official training options include:

                                                                                  After reviewing the recommended training, reinforce what you learned with Actual4dump's 472 practice questions for PL-300 Korean.

                                                                                  Yes. Actual4dump provides a free PDF demo so you can review the format, question style, and answer quality before placing an order. Your purchase includes 365 days of free updates, and expired products can receive continued update service at a 50% discount.

                                                                                  If you purchase the corresponding PL-300 Korean preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.

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                                                                                  The current PL-300 Korean outline is organized into 4 top-level domains. The first listed areas include:

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

                                                                                  Review the Exam Topics section above for the complete outline and any nested subtopics.

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

                                                                                  지역 관리자의 보고 요구 사항을 충족하려면 Weekly_Returns 테이블과 Date 테이블 간의 관계를 설정해야 합니다. 어떻게 해야 할까요?

                                                                                  • A. 관련 DAX 함수를 사용하여 Weekly_Returns 데이터를 Sales 테이블에 추가합니다.
                                                                                  • B. Weekly.Returns 테이블에 yyyymmdd 형식의 date-id라는 새 계산 열을 만들고, 이 계산 열을 사용하여 Date 테이블과의 관계를 설정합니다.
                                                                                  • C. 날짜 테이블을 기반으로 날짜 ID가 고유한 새 테이블을 생성하고, 그 테이블과 Weekly_Return 테이블 간의 다대다 관계를 설정합니다.
                                                                                  Answer: B

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                                                                                  다음 그림에 나와 있는 의미론적 모델을 참조하십시오.

                                                                                  시각화 자료에는 매출 이익이 가장 높은 상위 10개 도시만 표시되어야 합니다.
                                                                                  어떻게 해야 할까요?

                                                                                  • A. 시각화에 상위 N개 필터를 추가합니다.
                                                                                  • B. 매출액 이익 측정값을 RANKX 함수를 사용하도록 구성합니다.
                                                                                  • C. 테이블에 계산 열을 추가하여 해당 도시가 상위 10위 안에 들면 도시 이름을 반환하고, 그렇지 않으면 "상위 10위 안에 들지 않음"을 반환합니다. 시각화에서 "매출 이익" 열을 이 계산 열로 대체합니다.
                                                                                  • D. TOPN 함수를 사용하는 계산 열을 테이블에 추가합니다. 시각화에서 '매출 이익'을 계산 열로 바꿉니다.
                                                                                  Answer: A

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                                                                                  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. 질의응답
                                                                                  • B. 주요 영향력자
                                                                                  • C. 스마트 내러티브
                                                                                  • D. 분해 트리
                                                                                  Answer: C

                                                                                  Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).

                                                                                  파워 BI 보고서가 있습니다.
                                                                                  다음과 같은 표들이 있습니다.

                                                                                  다음과 같은 DAX 측정값이 있습니다.

                                                                                  Answer:


                                                                                  Explanation:

                                                                                  The case is framed around this condition: you have a power bi report. you have the following tables. you have the following dax measure. The completed mapping shown in the answer area is correct. An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. The current skills outline describes this competency as " Create single aggregation measures " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
                                                                                  /study-guides/pl-300

                                                                                  Power BI 시맨틱 모델의 데이터 모델을 설계하고 있습니다. 스타 스키마에는 다음과 같은 테이블이 있습니다.

                                                                                  스타 스키마의 팩트 테이블은 무엇이며, Patient 테이블의 어떤 열이 스타 스키마의 서로그 키입니까? 정답을 선택하려면 답변 영역에서 적절한 옵션을 선택하십시오.
                                                                                  참고: 정답 하나당 1점입니다.

                                                                                  Answer:


                                                                                  Explanation:

                                                                                  A fact table stores the event-level measurements and foreign keys, while a dimension uses a stable unique key to identify each descriptive member. The exhibit ' s transaction table and Patient key should be selected on that basis. The key constraint is to identify the fact table and the Patient table ' s surrogate key in the displayed star schema. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Create fact tables and dimension tables " . Combining descriptive attributes and transactions at mixed grains makes keys and aggregation less predictable than a dimension-to-fact star design.
                                                                                  It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/star-schema | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

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