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Microsoft DP-600 Korean Exam Syllabus Topics:
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600
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Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version) Sample Questions:
귀하는 Lakehouse1이라는 이름의 호숫가 주택을 포함하는 Fabric 테넌트를 보유하고 있습니다. Lakehouse1에는 Nyctaxi_raw라는 테이블이 있습니다. Nyctaxi_raw에는 다음과 같은 열이 포함되어 있습니다.
패브릭 노트북을 만들어 lakehouse1에 부착합니다.
PySpark 코드를 사용하여 데이터를 변환해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* pickupDateTime에서 날짜 부분만 포함하는 pickupDate라는 열을 추가합니다.
* fareAmount가 100 미만의 양수인 행만 포함하도록 데이터프레임을 필터링합니다.
코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요. 참고:
정답을 맞힐 때마다 1점씩입니다.
Correct Answer:

Explanation:
Add the pickupDate column: .withColumn( " pickupDate " , df[ " pickupDateTime " ].cast( " date " )) Filter the DataFrame: .filter( " fareAmount > 0 AND fareAmount < 100 " ) In PySpark, you can add a new column to a DataFrame using the .withColumn method, where the first argument is the new column name and the second argument is the expression to generate the content of the new column. Here, we use the .cast( " date " ) function to extract only the date part from a timestamp. To filter the DataFrame, you use the .filter method with a condition that selects rows where fareAmount is greater than
0 and less than 100, thus ensuring only positive values less than 100 are included.
Workspace_DEV라는 워크스페이스가 포함된 Fabric 테넌트가 있습니다. Workspace_DEV에는 다음 표에 표시된 시맨틱 모델이 포함되어 있습니다.
Workspace_DEV에는 다음 표에 표시된 데이터 흐름이 포함되어 있습니다.

Correct Answer:

Explanation:
DF1 will be deployed to Workspace_TEST: Yes
Data from Model1 will be deployed to Workspace_TEST: No
The scheduled refresh policy for Model1 will be deployed to Workspace_TEST: No DF1 is a Dataflow Gen1 with a configured scheduled refresh policy, so it will be deployed to Workspace_TEST.
Data from Model1 will not be deployed as Model1 ' s scheduled refresh policy is not configured, indicating it is not set up for deployment.
The scheduled refresh policy for Model1 will not be deployed since it is listed as " Not configured. "
Microsoft Power BL 시맨틱 모델에 측정값이 포함되어 있습니다. 이 측정값은 여러 계산 함수와 필터 함수를 사용합니다.
당신은 해당 조치들의 성과를 평가하고 있습니다.
필터 함수를 keepfilters 함수로 바꾸면 실행 시간이 단축되는 사용 사례는 무엇입니까?
- A. 필터 함수가 가져오기 모드를 사용하는 단일 테이블의 열을 참조하는 경우
- B. 필터 함수가 중첩된 계산 함수를 사용하는 경우
- C. 필터 함수가 여러 테이블의 열을 참조하는 경우
- D. 필터 함수가 측정값을 참조하는 경우
Correct Answer: A 🗳️
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Warehousel이라는 이름의 Fabric 창고가 있고, 그 안에 Table이라는 이름의 테이블이 있습니다! Tablel에는 고객 데이터가 들어 있습니다.
Tablel에 행 수준 보안(RLS)을 구현해야 합니다. 솔루션은 사용자가 자신의 데이터만 볼 수 있도록 보장해야 합니다.
어떤 두 개의 객체를 생성해야 할까요? 각 정답은 풀이의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 데이터베이스 역할
- B. 기능
- C. 저장된 프로시저
- D. 보안 정책
- E. 제약 조건
Correct Answer: B,D 🗳️
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현재 Fabric 테넌트에는 Workspace1과 Workspace2라는 이름의 워크스페이스 두 개가 있습니다.
Workspace1은 개발 환경으로 사용됩니다.
Workspace2는 운영 환경으로 사용됩니다.
각 환경은 서로 다른 스토리지 계정을 사용합니다.
Workspace1에는 Dataflow1이라는 이름의 Dataflow Gen2가 있습니다. Dataflow1의 데이터 소스는 Blob 스토리지에 있는 CSV 파일입니다.
Workspace1의 항목을 Workspace2로 배포하기 위한 배포 파이프라인을 구현할 계획입니다.
데이터 소스가 운영 환경에서 올바른 위치를 참조하는지 확인해야 합니다.
어떻게 해야 할까요?
- A. 배포 파이프라인을 구현한 후 데이터 소스를 수동으로 변경합니다.
- B. 데이터 소스 규칙과 매개변수 규칙을 생성합니다.
- C. 매개변수 규칙만 생성합니다.
- D. 데이터 소스 규칙만 생성합니다.
Correct Answer: B 🗳️
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