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Microsoft PL-300-KR guide torrent - Microsoft Power BI Data Analyst (PL-300 Korean Version)

Updated: Oct 13, 2026

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PL-300 Korean guide torrent
  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)

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In this age of technology and information, strong, verifiable skills are what set a professional apart. The Microsoft Power BI Data Analyst (PL-300 Korean Version) certification is one way to make yours visible, and GuideTorrent prepares you for the PL-300 Korean exam with 472 practice questions built around its official objectives.

Microsoft PL-300 Korean Exam Overview:

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

                                                                                  PL-300 Korean Exam Details and Buying Questions

                                                                                  The PL-300 Korean exam is the official assessment behind the Microsoft Power BI Data Analyst (PL-300 Korean Version) certification from Microsoft. In an age where technology skills need to be verifiable, a respected credential makes yours visible — it tells the market your abilities have been measured, not merely claimed. Earning it takes real preparation, and that preparation is exactly what our materials support.

                                                                                  Both. The PL-300 Korean test engine works offline once you have opened it online the first time — after that initial run, your connection is optional. The PDF edition goes further for paper learners: print all of the contents and annotate them into a personal workbook. Whichever of the three versions you prefer, the Microsoft Power BI Data Analyst (PL-300 Korean Version) content inside is the same daily-checked bank.

                                                                                  Plenty of them. GuideTorrent accepts a wide range of payment methods through a protected payment platform, so you can buy the Microsoft Power BI Data Analyst (PL-300 Korean Version) materials whichever way is most convenient for you. Every transaction is guarded at each step — convenience and security are both part of the checkout, not a trade-off between them.

                                                                                  Passing the PL-300 Korean exam requires 700 (out of 1000), and registration costs USD 165. Focused preparation with verified answers is how you make that fee a one-time expense rather than a recurring one.

                                                                                  Registration for the PL-300 Korean exam runs through these official channels:

                                                                                  Pick a date that leaves room for steady practice — even a busy schedule can absorb short, regular sessions.

                                                                                  Microsoft recommends these training resources for candidates:

                                                                                  Official training builds the framework; daily-checked practice questions with verified answers build the finishing skill. Use them together.

                                                                                  The official outline divides the PL-300 Korean exam into weighted domains, including:

                                                                                  • Prepare the data (25-30%)
                                                                                  • Model the data (25-30%)
                                                                                  • Visualize and analyze data (25-30%)

                                                                                  The Microsoft Power BI Data Analyst (PL-300 Korean Version) bank at GuideTorrent is checked against these objectives every day, with new items added as the exam evolves.

                                                                                  The PL-300 Korean exam contains 40-60 questions with 180 minutes minutes to complete them. Timed practice under the same limit — online or offline — turns pacing into a habit before exam day.

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

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

                                                                                  Question #1

                                                                                  Azure SQL 데이터베이스의 데이터를 포함하는 ModeM이라는 Power BI 시맨틱 모델을 만들 계획입니다. Model1에는 다음과 같은 테이블이 포함됩니다.

                                                                                  지난 3일 동안 Power BI에서 새로 고침이 실패하고 "티어에서 허용된 최대 메모리 할당량에 도달했습니다. 사용 가능한 메모리가 더 많은 티어로 업그레이드하는 것을 고려하십시오."라는 오류 메시지가 표시됩니다. 이 오류를 해결하고 최종 사용자의 쿼리 응답 시간을 최소화해야 합니다.
                                                                                  어떻게 해야 할까요?

                                                                                  • A. SalesPersonld 열을 기준으로 영업 담당자 테이블과 송장 테이블을 병합합니다.
                                                                                  • B. 제품, 영업 담당자, 달력, 고객별 매출을 요약하여 송장 테이블의 크기를 줄입니다.
                                                                                  • C. 송장 테이블을 DirectQuery 테이블로 변경하고 소스에서 데이터를 실시간으로 읽어오며, 차원 테이블만 가져오기 테이블로 유지합니다.
                                                                                  • D. 송장 테이블을 과거 데이터는 DirectQuery 테이블로, 자주 사용되는 데이터는 가져오기 테이블로 포함하는 복합 테이블로 변경한 다음 테이블을 파티셔닝합니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

                                                                                  Question #2

                                                                                  CityData와 Sales라는 두 개의 테이블로 구성된 Microsoft Power BI 모델을 만들고 있습니다. CityData 테이블에는 다음 표에 표시된 데이터만 포함되어 있습니다.

                                                                                  매출에는 다음 표에 표시된 데이터만 포함됩니다.

                                                                                  다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
                                                                                  참고: 정답 하나당 1점입니다.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  Read the completed answer mapping as 1) Yes; 2) Yes; 3) No. The case is framed around this condition: you are creating a microsoft power bi model that has two tables named citydata and sales. citydata contains only the data shown in the following table. sales contains only the data. A lookup-to-fact design normally uses one- to-many cardinality and single-direction filtering from the unique key to the repeating key. That creates predictable propagation and avoids an unnecessary ambiguous filter path. This directly matches the current study-guide objective " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
                                                                                  | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

                                                                                  Question #3

                                                                                  'Report'라는 이름의 Power BI 보고서와 'Dashboard'라는 이름의 대시보드가 ​​있습니다. Report1에는 '월별 매출'이라는 이름의 선 그래프가 포함되어 있습니다.
                                                                                  월별 판매량 시각화 자료를 대시보드1에 고정합니다.
                                                                                  보고서1에서 월별 매출 시각화를 막대 차트로 변경합니다.
                                                                                  대시보드에 막대 차트가 표시되는지 확인해야 합니다.
                                                                                  어떻게 해야 할까요?

                                                                                  • A. 대시보드1의 새로 고침 시각화를 선택합니다.
                                                                                  • B. Report1 및 Dashboard1에서 사용하는 의미 모델을 새로 고칩니다.
                                                                                  • C. 월별 매출 막대 차트를 대시보드1에 고정합니다.
                                                                                  • D. 대시보드 타일(Dashboar1)의 세부 정보를 편집합니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

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

                                                                                  Question #4

                                                                                  냉장고에서 스트리밍되는 10톤의 온도 데이터를 표시하는 Power BI 보고서를 작성합니다.
                                                                                  BL 서비스에 보고서를 게시합니다.
                                                                                  기온이 섭씨 4도 이상으로 올라가면 알림을 받아야 합니다.
                                                                                  어떻게 해야 할까요?

                                                                                  • A. 보고서 페이지를 대시보드에 고정하고 해당 페이지에 대한 알림을 설정합니다.
                                                                                  • B. 대시보드에 카드 이미지를 고정하고 타일에 알림을 설정합니다.
                                                                                  • C. 대시보드에 카드 이미지를 고정하고 구독을 생성합니다.
                                                                                  • D. 보고서의 KPI 시각화에 대한 알림을 설정합니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

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

                                                                                  Question #5

                                                                                  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.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct 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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