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Our Microsoft Power BI Data Analyst (PL-300 Korean Version) Preparation Material provides you everything you will need to take a Microsoft Microsoft Certified: Power BI Data Analyst Associate PL-300 Korean examination. Details are researched and produced by Microsoft Certification Experts who are constantly using industry experience to produce precise, and logical.

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Microsoft Power BI Data Analyst Certification Exam is one of the most popular certification exams in the market. However, most candidates don't pass it on their first attempt. The reasons for this are many, but the most common ones are not having enough time to prepare, not knowing where to start and what to study, or not having access to quality learning materials. To help you overcome these obstacles and pass Microsoft Power BI Data Analyst Certification Exam easily, our experts have created a comprehensive Microsoft PL-300 Dumps that will give you everything you need to know to pass Microsoft Power BI Data Analyst Certification Exam quickly and efficiently.

This study guide contains everything you will need to have a deep understanding of this certification and take it with confidence. Our experts have taken great care in creating this study guide by using only high-quality resources available on the internet. Our goal is to help you understand each concept so that when taking the exam, there will be no surprises that throw off your momentum or cause you any stress during your preparation or while taking the exam itself.

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

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PL-300 Korean exam is an important Microsoft Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Microsoft technical experts have collected and certified 472 questions and answers of Microsoft Certified: Power BI Data Analyst Associate - Microsoft Power BI Data Analyst (PL-300 Korean Version) which are designed to cover the knowledge points of the Planning and Designing Microsoft Superdome Server Solutions and enhance candidates' abilities. With Fast2test PL-300 Korean preparation tests you can pass the Microsoft Certified: Power BI Data Analyst Associate - Microsoft Power BI Data Analyst (PL-300 Korean Version) easily, get the Microsoft certification and go further on Microsoft career path.

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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

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This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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

주문이라는 이름의 Power BI 보고서가 있으며, 이 보고서는 다음과 같은 분석을 지원합니다.
시간에 따른 총 매출액
시간에 따른 주문 건수
신규 및 재구매 고객 수
데이터 모델 크기가 공유 용량의 시맨틱 모델에 대한 한계에 가까워지고 있습니다. 시맨틱 모델의 모델 뷰는 다음 그림에 나와 있습니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Import-model reduction should remove unused data, lower avoidable cardinality, or aggregate only to the required analytical grain. The selected change preserves every field, row, and precision requirement stated in the question. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you have a power bi report named orders that supports the following analysis:; total sales over time; the count of orders over time; new and repeat customer counts the data model. A proposed optimization is invalid if it drops required columns, removes needed transaction detail, or lowers numeric precision contrary to the scenario. This rationale is anchored to the PL-300 objective " Improve performance by identifying and removing unnecessary rows and columns " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/import-modeling-data- reduction | PL-300 objective: " Improve performance by identifying and removing unnecessary rows and columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides
/pl-300

사용자 불만 사항이 포함된 CSV 파일이 있습니다. 파일에는 Logged라는 열이 포함되어 있습니다. Logged에는 각 불만 사항이 발생한 날짜와 시간이 포함됩니다. Logged의 데이터 형식은 2018-12-31 at 08:59입니다.
기록된 날짜별로 불만 사항을 분석하고 내장된 날짜 계층 구조를 사용할 수 있어야 합니다.
어떻게 해야 합니까?

  • A. 변환을 적용하여 Logged 열의 처음 11자를 추출합니다.
  • B. at을 구분 기호로 사용하여 Logged 열을 분할합니다.
  • C. Logged 열의 데이터 유형을 날짜로 변경합니다.
  • D. 변환을 적용하여 Logged 열의 마지막 11자를 추출하고 새 열의 데이터 유형을 날짜로 설정합니다.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

참고: 이 질문은 동일한 시나리오를 제시하는 일련의 질문 중 일부입니다. 이 시리즈의 각 질문에는 명시된 목표를 충족할 수 있는 고유한 솔루션이 포함되어 있습니다. 일부 질문 세트에는 두 개 이상의 정답이 있는 반면, 다른 세트에는 정답이 없는 경우도 있습니다.
이 섹션의 질문에 답한 후에는 다시 돌아갈 수 없습니다. 따라서 이러한 질문은 검토 화면에 나타나지 않습니다.
온프레미스 데이터 게이트웨이가 있습니다.
가져오기 저장 모드에서 실행되는 의미 모델을 통해 게이트웨이를 통해 전송되는 데이터 양을 줄여야 합니다.
해결책: 자동 페이지 새로 고침 간격을 늘리세요.
이것이 목표를 달성하는가?

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

Correct Answer: A  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

도넛 차트와 클러스터형 막대 차트가 포함된 보고서가 있습니다. 시각화 간의 상호 작용은 기본 설정을 사용합니다.
막대 차트에서 열을 선택했을 때, 선택한 열의 데이터를 사용하여 도넛 차트가 다시 그려지도록 보고서를 수정해야 합니다.
어떻게 해야 할까요?

  • A. 막대 차트를 선택하고 도넛 차트 상호 작용을 없음으로 설정합니다.
  • B. 도넛 차트를 선택하고 막대 차트 상호 작용을 없음으로 설정합니다.
  • C. 막대 차트를 선택하고 도넛 차트 상호 작용을 필터로 설정합니다.
  • D. 도넛 차트를 선택하고 막대 차트 상호 작용을 필터로 설정합니다.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

Power BI Desktop에는 테이블이 포함된 시맨틱 모델이 있습니다.
다음 그림과 같이 Power BI 보고서 페이지에 테이블 시각화를 만듭니다.

식물 이미지 열에 URL 대신 참조된 이미지가 표시되도록 시각화를 구성해야 합니다.
어떻게 해야 할까요?

  • A. 식물 이미지 필드의 데이터 범주를 웹 URL로 설정합니다.
  • B. 식물 이미지 필드의 데이터 형식을 바이너리로 설정합니다.
  • C. 식물 이미지 필드의 데이터 범주를 이미지 URL로 설정하세요
  • D. 서식 탭에서 값을 선택한 다음 표에 대해 URL 아이콘을 켜짐으로 설정합니다.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

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