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NEW QUESTION: 1
DCS is mainly used for hot data caching to improve data access capabilities and reduce data pressure.
Answer:
Explanation:
Yes

NEW QUESTION: 2
회사는 온-프레미스 상태 기록을 관리하고 있습니다. 회사는 이러한 기록을 무기한 보관하고 기록이 저장되면 수정을 비활성화 하고 모든 수준에서 액세스를 세부적으로 감사해야 합니다. 최고 기술 책임자 (CTO)는 이미 응용 프로그램에서 사용하지 않는 수백만 개의 레코드가 있고 현재 인프라에 공간이 부족하기 때문에 우려합니다. CTO는 솔루션 설계자에게 기존 데이터를 이동하고 향후 레코드를 지원할 솔루션을 설계하도록 요청했습니다. 솔루션 아키텍트는 이러한 요구 사항을 충족시키기 위해 어떤 서비스를 추천 할 수 있습니까?
A. AWS Storage Gateway를 사용하여 기존 데이터를 AWS로 이동 기존 및 새 데이터를 저장하려면 Amazon S3를 사용하십시오. Amazon S3 객체 잠금을 활성화하고 관리 이벤트와 함께 AWS CloudTrail을 활성화하십시오.
B. AWS DataSync를 사용하여 기존 데이터를 AWS로 이동하십시오. Amazon S3를 사용하여 기존 및 새 데이터 저장 Amazon S3 객체 잠금을 활성화하고 데이터 이벤트와 함께 AWS CloudTrail을 활성화하십시오.
C. AWS Storage Gateway를 사용하여 기존 데이터를 AWS로 이동 Amazon EBS (Amazon Elastic Block Store)를 사용하여 기존 및 새 데이터 저장 Amazon S3 객체 잠금 활성화 및 Amazon S3 서버 액세스 로깅 활성화
D. AWS DataSync를 사용하여 기존 데이터를 AWS로 이동 Amazon S3를 사용하여 기존 및 새 데이터 저장 Amazon S3 객체 잠금을 활성화하고 관리 이벤트와 함께 AWS CloudTrail을 활성화합니다.
Answer: A

NEW QUESTION: 3
대규모 조직을 위해 일부 AWS 인프라를 배포 할 수있는 범위가 주어졌습니다. 요구 사항은 EC2 인스턴스가 많지만 Amazon EC2 집합의 평균 활용률이 높으면 추가해야 하고 CPU 활용률이 낮 으면 반대로 제거해야 할 수도 있습니다. 이를 위해 어떤 AWS 서비스를 사용하는 것이 가장 좋습니까?
A. Auto Scaling, Amazon CloudWatch 및 Elastic Load Balancing.
B. Auto Scaling, Amazon CloudWatch 및 AWS CloudTrail.
C. Auto Scaling, Amazon CloudWatch 및 AWS Elastic Beanstalk
D. Amazon CloudFront, Amazon CloudWatch 및 Elastic Load Balancing.
Answer: A
Explanation:
설명:
Auto Scaling을 사용하면 애플리케이션의 수요 곡선을 면밀히 준수하여 Amazon EC2 용량을 미리 수동으로 프로비저닝 할 필요가 줄어 듭니다. 예를 들어 Amazon EC2 집합의 평균 활용도가 높을 때 새 Amazon EC2 인스턴스를 Auto Scaling 그룹에 증분으로 추가하는 조건을 설정할 수 있습니다. 마찬가지로 CPU 사용률이 낮을 때 동일한 증분으로 인스턴스를 제거하도록 조건을 설정할 수 있습니다. 로드 변경이 예측 가능한 경우 Auto Scaling을 통해 일정을 설정하여 조정 작업을 계획 할 수 있습니다. Amazon CloudWatch를 사용하여 스케일링 활동 및 Elastic Load Balancing을 트리거하는 경보를 보내 Auto Scaling 그룹 내 인스턴스에 트래픽을 분산 할 수 있습니다. Auto Scaling을 사용하면 최적의 활용도로 Amazon EC2 차량을 실행할 수 있습니다.
http://aws.amazon.com/autoscaling/

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