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NEW QUESTION: 1
도시는 지난 3 년간 공공 자전거 공유 프로그램에 대한 데이터를 수집해왔습니다. 현재 Amazon S3에있는 SPB 데이터 세트. 데이터에는 다음 데이터 포인트가 포함됩니다.
* 자전거 조직 포인트
* 자전거 목적지 포인트
* 포인트 간 마일리지
* 역에서 이용할 수 있는 자전거 슬롯 수 (역 위치에 따라 다름)
* 주어진 시간에 각 스테이션에서 사용 가능하고 취한 슬롯 수
이 프로그램은 이용 가능한 자전거 정류장 수를 늘리기 위해 추가 기금을 받았습니다. 모든 데이터는 정기적으로 Amazon Glacier에 보관됩니다.
자전거를 가장 많이 이용할 수 있도록 새로운 자전거 스테이션이 있어야 합니다. 이 작업을 어떻게 수행해야 합니까?
A. Amazon Redshift COPY 명령을 사용하여 Amazon S3에서 RedShift로 데이터를 이동하고 가장 인기있는 자전거 스테이션을 출력하는 SQL 쿼리를 플랫폼 화하십시오.
B. 스폿 인스턴스가 있는 Amazon S3에서 Amazon EBS 지원 볼륨 및 EC2 Hardoop으로 데이터를 이동하여 확률 적 그래디언트 디센트 최적화를 수행하는 Spark 작업을 실행합니다.
C. Amazon S3에서 데이터를 유지하고 스팟 인스턴스와 함께 전송 EMR 클러스터를 사용하여 데이터를 Amazon Kinesis로 이동시키는 Spark 스트리밍 작업을 실행합니다.
D. Amazon S3에 데이터를 유지하고 스팟 주장과 함께 Amazon EMR 기반 Hadoop 클러스터를 사용하여 EMBFS에 대한 확률 적 경사 하강 최적화를 수행하는 스파크 작업을 실행합니다.
NEW QUESTION: 2