Microsoft PL-300 Korean exam - in .pdf

PL-300 Korean pdf
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 21, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.99
  • PDF Demo

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  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 21, 2026
  • Q & A: 472 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft PL-300 Korean exam - Testing Engine

PL-300 Korean Testing Engine
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 21, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft PL-300 Korean Exam Questions Torrent

Partial mastery leaks points. The Microsoft Power BI Data Analyst (PL-300 Korean Version) engines from ExamTorrent score your performance and push missed PL-300 Korean questions back until you've mastered the whole 472-question set in 2026.

Microsoft PL-300 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Passing Score:700 (scaled score, passing not publicly disclosed)
Exam Price:$165.00 USD
Exam Duration:120 minutes
Exam Format:Case study, Drag and drop, Short answer, Multiple choice
Certificate Validity Period:1 year
Real Exam Qty:40-60
Available Languages:Korean, English, Chinese (Simplified), Japanese
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Sample Questions:Free Download PL-300 Korean dumps torrent
Exam Way:Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
Official Syllabus URL:https://learn.microsoft.com/en-us/certifications/exams/pl-300/

Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Model the Data25-30%- Create measures and DAX calculations
  • 1. Create semi-additive measures
  • 2. Write and use basic DAX syntax
  • 3. Create calculated measures
  • 4. Use Time Intelligence functions
  • 5. Use CALCULATE and FILTER functions
  • 6. Implement context transition
- Design a data model
  • 1. Implement row-level security
  • 2. Determine the appropriate granularity
  • 3. Design a star schema or snowflake schema
  • 4. Define tables and table schemas
  • 5. Apply field metadata and groupings
  • 6. Resolve performance issues with relationships
- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Configure aggregations
  • 3. Optimize Dax queries
  • 4. Improve user experience by hiding objects
  • 5. Optimize DirectQuery models
- Develop the data model
  • 1. Create common date tables
  • 2. Create calculated tables and columns
  • 3. Implement row-level security roles
  • 4. Use the calculation group feature
  • 5. Configure table relationships
  • 6. Build hierarchies and hierarchical fields
Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Endorse sensitive content with sensitivity labels
  • 2. Configure workspace membership and roles
  • 3. Publish and update a Power BI app
  • 4. Configure content certification
- Manage datasets
  • 1. Manage gateways and data sources
  • 2. Configure dataset metadata and properties
  • 3. Manage dataset refresh scheduling
  • 4. Resolve dataset permission issues
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Create custom visuals
  • 2. Use dynamic page navigation
  • 3. Configure R and Python visuals
  • 4. Integrate Microsoft Copilot for Power BI
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Design for mobile and specific layouts
  • 3. Add accessibility features and compliance
  • 4. Add tooltips and navigation
- Build visuals
  • 1. Format and configure pages and report backgrounds
  • 2. Determine the appropriate visual type
  • 3. Configure data colors and shapes
  • 4. Apply sorting and filtering to visuals
  • 5. Configure visual interactions and cross-filtering
  • 6. Apply AI insights and enhanced analytics
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Use the Decomposition Tree visual
  • 3. Define and monitor KPIs
  • 4. Create metrics using Microsoft measurements
- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Apply Quick Insights
  • 3. Use the Q&A visual
  • 4. Identify patterns and trends
  • 5. Generate Pinn visual insights
Prepare the Data10-15%- Get data from various data sources
  • 1. Identify and connect to a data source
  • 2. Configure dataset refresh
  • 3. Use Microsoft Fabric and OneLake
  • 4. Select a shared dataset or create a local copy
  • 5. Change data source settings
  • 6. Choose between DirectQuery, Import, and Dual storage modes
- Clean, transform, and load the data
  • 1. Apply user-friendly naming conventions to columns and tables
  • 2. Design and build intermediate tables
  • 3. Profile the data
  • 4. Determine proper data types
  • 5. Resolve data quality issues
  • 6. Identify the data structure
  • 7. Configure data loading and queries

Microsoft PL-300 Korean Exam: Candidate Questions

No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. Eligibility rules do change, so confirm the current requirements on the official page (official PL-300 Korean exam page) before booking.

120 minutes for 40-60 questions. Efficiency beats exhaustion: the ExamTorrent software version simulates the real test scene and scores your performance, so every practice hour moves you forward.

Delivery and payment are both safe: we support credit card payment, your information is protected by a strict system, and the product emails automatically within a minute of purchase — unlimited devices, 7*24 support if nothing arrives within 2 hours. If you fail the corresponding PL-300 Korean exam within 60 days of purchase, we refund in full: provide a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

$165.00 USD per attempt, 700 (scaled score, passing not publicly disclosed) to pass. Since a retake costs the full fee, prepare with direction: the 472 practice questions from ExamTorrent focus your effort where the exam points are.

The Microsoft Power BI Data Analyst (PL-300 Korean Version) is Microsoft's certification exam for Microsoft Certified: Power BI Data Analyst Associate, at the Associate level. It validates applied skills employers hire for — a credential worth the effort. Related credentials include Microsoft Certified: Power BI Data Analyst Associate.

The Microsoft Power BI Data Analyst (PL-300 Korean Version) blueprint covers 5 domains — including Visualize the Data (25-30%), Prepare the Data (10-15%), Model the Data (25-30%). The weightings are your efficiency map: heavy domains first. Every subtopic appears in the outline above.

Yes — download the free Microsoft Power BI Data Analyst (PL-300 Korean Version) demo and judge the question quality before paying. Every purchase stays valid for 365 days with free updates throughout, renewable afterward at 50% off.

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

Question #1

Microsoft Power BI Desktop에 Report!라는 보고서가 있으며, 이 보고서는 Azure SQL 데이터베이스를 데이터 원본으로 사용합니다. User1이라는 사용자가 Report1과 동일한 데이터 원본을 사용하여 보고서를 만들 계획입니다.
User1의 데이터 소스 연결을 단순화해야 합니다.
어떤 형식의 파일을 생성해야 할까요?

  • A. PBIDS
  • B. XLSX
  • C. PBIT
  • D. PBIX
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

참고: 이 질문은 동일한 시나리오를 제시하는 일련의 질문 중 일부입니다. 시리즈의 각 질문에는 명시된 목표를 충족할 수 있는 고유한 솔루션이 포함되어 있습니다. 일부 질문 세트에는 하나 이상의 올바른 솔루션이 있을 수 있지만 다른 질문 세트에는 올바른 솔루션이 없을 수 있습니다.
이 시나리오에서 질문에 답한 후에는 해당 질문으로 돌아갈 수 없습니다. 결과적으로 이러한 질문은 검토 화면에 나타나지 않습니다.
Salary라는 측정값을 값으로 포함하고 Employee라는 필드를 축으로 포함하는 클러스터 막대형 차트가 있습니다. 급여는 미국 달러를 나타내는 숫자 금액으로 데이터에 표시됩니다.
중간 급여보다 높은 직원을 표시하려면 참조선을 만들어야 합니다.
솔루션: 상수 라인을 생성하고 값을 .5로 설정합니다.
이것이 목표를 달성합니까?

  • A. 아니요
  • B.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

원본 데이터에 열이 있습니다. 이 열에는 대소문자를 구분하는 날짜 데이터가 포함되어 있습니다. Power BI 시맨틱 모델을 DirectQuery 모드로 사용하고 있습니다. 모델에 연결하여 확인해 보니 정의되지 않은 값과 오류가 발생했습니다. 이 문제를 해결해야 합니다.
해결 방법: 시맨틱 모델 모드를 변경합니다.
이것이 목표를 달성합니까?

  • A. 아니요
  • B.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

장바구니 분석을 수행하기 위해 Microsoft Power BI로 가져온 데이터 모델을 만들고 있습니다. 이 분석의 목표는 영업 지역 내외에서 동일한 거래에서 함께 구매되는 제품이 무엇인지 파악하는 것입니다.
그림에 표시된 것처럼 Sales라는 이름의 팩트 테이블을 가져옵니다.

관련 치수 테이블이 모델로 가져와집니다.
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:

A star schema separates descriptive dimensions from event-level facts. Keeping the fact grain and relationship keys aligned supports correct aggregation and generally produces simpler, more efficient report queries.
Begin with the scenario statement that the goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories. 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

Question #5

제조 프로세스의 품질을 모니터링하는 Power BI 대시보드가 ​​있습니다. 대시보드에는 다음 요소가 포함되어 있습니다.
일별로 제조된 불량 제품의 수를 나타내는 선 차트입니다.
제조된 결함 제품의 현재 일일 비율을 보여주는 KPI 시각적 개체입니다.
일일 제조 불량률이 3%를 초과하면 알림을 받아야 합니다.
무엇을 만들어야 합니까?

  • A. Q&A 비주얼
  • B. 스마트 내러티브 비주얼
  • C. 구독
  • D. 경고
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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