Exam PL-300: Microsoft Power BI Data Analyst
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.
Passing score: 700. Learn more about exam scores.
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Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft PL-300 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyze the Data | 10-15% | - Work with metrics in Power BI
|
| Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
|
| Visualize the Data | 25-30% | - Build visuals
|
| Model the Data | 25-30% | - Optimize model performance
|
| Prepare the Data | 10-15% | - Clean, transform, and load the data
|
Microsoft Power BI Data Analyst (PL-300 Korean Version) Sample Questions:
Power Query 편집기를 사용하여 Country라는 열이 포함된 쿼리를 검토합니다.
국가 열에 대한 데이터 미리 보기에서 다음 정보를 확인해야 합니다.
오류가 포함된 값의 비율.
빈 값의 개수입니다.
어떤 기능을 활성화해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요. 참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
What determines the answer is the need to view the following information in the Data preview view for the Country column:; The percentage of values that contain errors.; The count of empty values. Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. Use the selections preserved in the answer exhibit as the supported configuration. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. Microsoft lists this skill in the current PL-300 outline as " Resolve data import errors " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/data-profiling-tools | PL-300 objective: " Resolve data import errors " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
Power BI Desktop에서 보고서를 작성하고 있습니다. 모델에는 다음과 같은 테이블이 있습니다.
테이블들 사이에는 관계가 있습니다.
주문 금액, 주문 날짜, 전체 이름 순으로 표시되는 보고서를 Power BI 서비스에 게시할 계획입니다.
보고서 보기에는 보고서에 필요한 열만 표시되도록 해야 합니다. 또한, 게시되는 시맨틱 모델의 크기를 최소화해야 합니다.
Power BI Desktop에서 열을 어떻게 구성해야 합니까? 답변하려면 답변 영역에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
The selections in the retained answer exhibit are the verified configuration. The relationship must carry filters from the descriptive table to the transaction table through matching keys. Bidirectional filtering is reserved for a demonstrated need because it can introduce multiple active paths. What determines the answer is the need to ensure that only the columns required for the report appear in Report View. The solution must minimize the size of the semantic model that is published. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. For exam alignment, this is assessed under " Define a relationship ' s cardinality and cross-filter direction " in the current study guide.
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
Power BI Report Server에 최적화된 Power BI Desktop을 사용하여 보고서를 만들 계획입니다. 보고서는 Power BI Report Server에 게시됩니다.
사용자가 보고서의 모든 시각화를 사용할 수 있는지 확인해야 합니다.
보고서에서 제외해야 하는 두 가지 유형의 시각화는 무엇입니까? 각 정답은 솔루션의 일부를 나타냅니다.
참고: 각 올바른 선택은 1점의 가치가 있습니다.
- A. 이동 경로
- B. 맞춤형 비주얼
- C. R 비주얼
- D. 깔때기형 차트
- E. 버블 맵
Correct Answer: A,C 🗳️
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Report1이라는 이름의 Power BI 보고서와 Dashboard1이라는 이름의 대시보드가 있습니다. Report1에는 월별 판매량을 나타내는 선 그래프가 포함되어 있습니다.
월별 판매량 시각화 자료를 대시보드1에 고정합니다.
보고서1에서 월별 매출 시각화를 막대 차트로 변경합니다.
대시보드1에 막대 그래프가 표시되는지 확인해야 합니다.
어떻게 해야 할까요?
- A. Report1 및 Dashboard1에서 사용하는 의미 모델을 새로 고칩니다.
- B. Dashboard1의 대시보드 타일 세부 정보를 편집합니다.
- C. 월별 매출 막대 차트를 대시보드1에 추가
- D. 대시보드1의 새로 고침 시각화를 선택합니다.
Correct Answer: C 🗳️
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학교 출석률을 분석하기 위해 Power BI 시맨틱 모델을 만들 계획입니다. 데이터는 Azure SQL 데이터베이스의 View1과 View?라는 두 개의 별도 뷰에서 가져옵니다. View1에는 다음 표에 표시된 열이 포함되어 있습니다.
View2에는 다음 표에 표시된 열이 포함되어 있습니다.
클래스 ID 열을 기준으로 뷰를 서로 연결할 수 있습니다.
수업 ID는 지정된 수업, 시간, 교사 및 학년도를 고유하게 식별하는 값입니다. 예를 들어, 동일한 교사가 다른 시간에 같은 수업을 가르칠 수 있지만, 수업 ID는 서로 다릅니다.
두 뷰의 데이터를 모두 사용하여 스타 스키마 데이터 모델을 설계해야 합니다. 이 솔루션은 다음 분석을 용이하게 해야 합니다.
기간별로 발생하는 수업 수
요일별, 시간대별 출석 학생 수
매달 수업에 참석하는 학생 평균 수
교사 이름과 수업 시간 필드를 어느 표에 포함시켜야 합니까? 정답을 선택하려면 답변란에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.
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. The required outcome is to design a star schema data model by using the data in both views. 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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