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

Updated: Oct 12, 2026

Q & A: 472 Questions and Answers

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

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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:

  • 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.

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

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

What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

  • United States; USD 90,000

  • Canada; CAD 70,000

  • United Kingdom; POUNDS 60,000

  • India; INR 500,000

  • Australia; AUD 75,000

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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

Question #1

참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제에는 제시된 목표를 달성할 수 있는 고유한 해결책이 포함되어 있습니다. 일부 문제 세트에는 정답이 두 개 이상일 수 있으며, 정답이 없는 문제 세트도 있습니다.
이 섹션에서 질문에 답변한 후에는 해당 질문으로 돌아갈 수 없습니다. 따라서 이 질문들은 검토 화면에 나타나지 않습니다.
Sales라는 테이블에 대한 쿼리가 있습니다. Sales 테이블에는 CustomerID라는 열이 있습니다. CustomerID의 데이터 형식은 정수입니다.
데이터를 새로 고쳤더니 여러 오류가 발견되었습니다. 매출 테이블의 새 항목에 숫자가 아닌 값이 포함되어 있는 것을 알게 되었습니다.
CustomerID 열의 숫자 이외의 값은 모두 0으로 설정해야 합니다.
해결 방법: 쿼리 편집기에서 CustomerID 열을 선택하고 오류 제거를 클릭합니다.
이것이 목표를 달성합니까?

  • A. 아니요
  • B. 예
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

다음 표에 나와 있는 CSV 파일이 있습니다.

Power Query 편집기를 사용하여 파일의 데이터를 미리 볼 수 있습니다.
다음 요구 사항을 충족하도록 데이터를 변환해야 합니다.
첫 번째 열에는 월이 포함되어야 합니다.
두 번째 열에는 연도가 반드시 포함되어야 합니다.
세 번째 열에는 해당 월과 연도의 주문 금액이 포함되어야 합니다.
어떤 변환을 먼저 사용해야 할까요?

  • A. 피벗 해제
  • B. 피벗
  • C. 전치
  • D. 제거
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

다음 표에 표시된 항목이 포함된 Fabric 작업 공간이 있습니다.

귀사 경영진과 회계 부서에서 콘텐츠를 이용할 수 있도록 해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* 관리 부서는 인원 현황 및 부서별 경비 보고서에 대한 보기 권한이 있어야 합니다.
경영진은 다른 현재 또는 향후 보고서를 절대로 볼 수 없어야 합니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The deciding requirement in this question is to make content available to the management department and the accounting department at your company. Workspace access is role based. Viewer is read-only, Contributor can create and publish content, Member adds broader collaboration rights, and Admin can manage the workspace and its users. Use the selections preserved in the answer exhibit as the supported configuration. A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content. Microsoft lists this skill in the current PL-300 outline as " Assign workspace roles " . This keeps service access and operational behavior within the scope requested instead of granting or changing unrelated capabilities.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Assign workspace roles " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

Question #4

영업 부서의 보고 요구 사항을 충족하려면 무엇을 만들어야 할까요?

  • A. SUM(Sales[sales_id]) 수식을 사용하는 계산 열
  • B. SUM(Sales[sales_id]) 공식을 사용하는 측정값
  • C. COUNTA(sales[sales_id]) 수식을 사용하는 계산 열
  • D. COUNTROWS(매출) 공식을 사용하는 측정값
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

Question #5

시간 경과에 따라 수익과 비용을 비교하는 시각화를 만들어야 합니다.
어떤 유형의 시각화를 사용해야 합니까?

  • A. 누적 영역 차트
  • B. 도넛 차트
  • C. 라인 차트
  • D. 폭포형 차트
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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