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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
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Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer Korean Version) Sample Questions:
데이터 엔지니어가 늦게 도착하는 중복 레코드를 처리할 가능성이 있는 파이프라인을 구성하고 있습니다.
배치 내에서 레코드 중복을 제거하는 것 외에도, 다음 중 어떤 접근 방식을 사용하면 데이터 엔지니어가 델타 테이블에 데이터를 삽입할 때 이전에 처리된 레코드와 중복된 데이터를 제거할 수 있습니까?
- A. 고유 키를 기준으로 일치 조건을 사용하여 삽입 전용 병합을 수행합니다.
- B. 고유 키를 기준으로 전체 외부 조인을 수행하고 기존 데이터를 덮어씁니다.
- C. 중복 레코드를 방지하려면 Delta Lake 스키마 강제 적용 기능을 활용하세요.
- D. delta.deduplicate = true로 설정을 지정하세요.
- E. 각 배치 작업이 완료된 후 델타 테이블을 진공 청소하십시오.
Correct Answer: A 🗳️
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DevOps 팀은 Jobs UI를 사용하여 매일 실행되도록 예약된 노트북 모음으로 프로덕션 워크로드를 구성했습니다. 새로 합류한 데이터 엔지니어가 프로덕션 로직을 검토하기 위해 이러한 노트북 중 하나에 대한 액세스 권한을 요청했습니다.
운영 중인 코드나 데이터가 실수로 변경되는 것을 방지하면서 사용자에게 부여할 수 있는 최대 노트북 권한은 얼마입니까?
- A. 관리 가능
- B. 편집 가능
- C. 실행 가능
- D. 읽을 수 있음
Correct Answer: D 🗳️
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필요한 모듈을 찾을 때 검색할 디렉터리 목록을 담고 있는 파이썬 변수는 무엇입니까?
- A. pypi.path
- B. importlib.resource 경로
- C. os-path
- D. ,sys.path
- E. pylib.source
Correct Answer: D 🗳️
데이터 팀이 Databricks에서 매일 실행되는 다중 작업 ETL 파이프라인을 자동화하고 있습니다. 이 파이프라인에는 원시 데이터를 수집하는 노트북, 데이터 변환을 위한 Python wheel 작업, 그리고 집계 값을 업데이트하는 SQL 쿼리가 포함됩니다. 팀은 파이프라인을 프로그램 방식으로 실행하고 GUI에서 이전 실행 내역을 확인하고 싶어합니다. 또한, 작업 실패 시 재시도가 이루어지고, 실패한 작업이 발생하면 이해관계자에게 이메일로 알림이 전송되도록 해야 합니다.
다음 두 가지 접근 방식 중 어떤 것이 이러한 요구 사항을 충족합니까? (두 가지를 선택하십시오)
- A. UI, Databricks Asset Bundles(DAB) 또는 Jobs REST API(/jobs)를 사용하여 멀티태스킹 작업을 생성합니다.
노트북, Python wheel 및 SQL 작업을 포함하는 생성(/create) 기능을 제공합니다. 작업 정의에서 작업 수준 재시도 및 이메일 알림을 구성할 수 있습니다. - B. Databricks Asset Bundles(DAB)를 사용하여 워크플로를 배포한 다음 작업 공간에서 각 작업의 노트북 또는 스크립트 경로를 참조하여 개별 작업을 직접 실행할 수 있습니다.
- C. Databricks Jobs REST API(/jobs/run-now), CLI(databricks jobs run-now) 또는 Databricks SDK 중 하나를 사용하여 프로그래밍 방식으로 작업을 실행합니다.
- D. dbutils.notebook.run()을 사용하여 각 단계를 호출하는 단일 오케스트레이터 노트북을 생성하고, 해당 노트북에 대한 작업을 정의하고, 노트북 수준에서 재시도 및 알림을 구성합니다.
- E. REST API 엔드포인트 /jobs/runs/submit을 사용하여 각 작업을 개별적으로 별도의 작업 실행으로 트리거하고 오케스트레이터에서 사용자 지정 로직을 사용하여 재시도를 구현합니다.
Correct Answer: A,C 🗳️
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데이터 엔지니어가 일일 보고 작업을 생성하고 있습니다. 평일용과 주말용, 두 개의 보고 노트북이 있습니다. "if/else 조건" 태스크가 {{job.start_time.is_weekday}} == true로 구성되어 해당 작업이 평일 또는 주말 노트북 태스크 중 하나로 라우팅되도록 설정되어 있습니다. 동일한 작업이 여러 시간대에서 사용될 예정입니다.
선임 데이터 엔지니어는 풀 리퀘스트를 검토한 후 병합 또는 거부 중 어떤 조치를 취해야 할까요?
- A. 거부합니다. {{job.trigger_time.is_weekday}}를 사용해야 합니다.
- B. {{job.start_time.is_weekday}}는 유효한 값 참조가 아니므로 거부합니다.
- C. {{job.start_time.is_weekday}}는 UTC 시간대를 기준으로 하므로 거부합니다.
- D. 작업 구성이 적절해 보이므로 병합합니다.
Correct Answer: C 🗳️
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