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NEW QUESTION: 1
3-Ber 전자 상거래 웹 응용 프로그램은 현재 사내 구축 형으로 배포되어 있으며 확장 성과 탄력성을 높이기 위해 AWS로 마이그레이션됩니다. 웹 티어는 현재 네트워크 분산 파일 시스템을 사용하여 읽기 전용 데이터를 공유합니다. 앱 서버 계층은 IP 멀티 캐스트에 의존하는 검색 및 공유 세션 상태를 위해 클러스터링 메커니즘을 사용합니다. 데이터베이스 계층은 공유 스토리지 클러스터링을 사용하여 데이터베이스 장애 조치 기능을 제공하고 확장을 위해 여러 개의 읽기 슬레이브를 사용합니다. 모든 서버 및 분산 파일 시스템 디렉토리의 데이터는 매주 오프 사이트 테이프에 백업됩니다.
어떤 AWS 스토리지 및 데이터베이스 아키텍처가 애플리케이션의 요구 사항을 충족합니까?
A. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅 시간에 S3에서 루트 볼륨으로 복사합니다. 응용 프로그램 서버 : DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포에서 RDS를 사용합니다. 백업 : 웹 및 응용 프로그램 서버는 매주 AMI를 통해 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
B. 웹 서버 : 읽기 전용 데이터를 EC2 NFS 서버에 저장하고 부팅시 각 ​​웹 서버에 마운트합니다. 응용 프로그램 서버 : DynamoDB와 IP 멀티 캐스트를 함께 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 복제본과 함께 RDS를 사용합니다. 백업 : AMI를 통해 매주 백업되는 웹 및 앱 서버, DB 스냅 샷을 통해 백업 된 데이터베이스.
C. 웹 서버 : 부팅시 읽기 전용 데이터를 S3에 저장하고 S3에서 루트 볼륨으로 복사합니다. 응용 프로그램 서버 : DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 복제본과 함께 RDS를 사용합니다. 백업 : AMI를 통해 매주 백업되는 웹 및 앱 서버, DB 스냅 샷을 통해 백업 된 데이터베이스.
D. 웹 서버 : 부팅시 읽기 전용 데이터를 S3에 저장하고 S3에서 루트 볼륨으로 복사합니다. 앱 서버 :
DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 복제본과 함께 RDS를 사용합니다. 백업 : 웹 서버, 응용 프로그램 서버 및 데이터베이스가 스냅 샷을 사용하여 매주 Glacier에 백업됩니다.
Answer: D
Explanation:
설명
Amazon Glacier는 모든 보관 상황에 적합하지 않습니다. 다음은 아마존 빙하 대신 다른 AWS 스토리지 옵션을 고려해야하는 몇 가지 스토리지 요구 사항입니다.
매우 자주 업데이트해야하는 데이터는 Amazon EBS, Amazon RDS, Amazon DynamoDB 또는 EC2에서 실행되는 관계형 데이터베이스와 같이 읽기 / 쓰기 대기 시간이 적은 스토리지 솔루션에 더 적합 할 수 있습니다.
https://d0.awsstatic.com/whitepapers/Storage/AWS%20Storage%20Services%20Whitepaper-v9.pdf

NEW QUESTION: 2
You have implemented a large Hadoop MapReduce cluster and the applications and users are multiplying. You are now faced with requests for interactive and streaming data applications while you still need to support the original MapReduce batch Jobs. Select the best option for continued support and performance.
A. Just add several data nodes as Hadoop clusters are designed to scale-up easily
B. Implement Yarn to decouple MapReduce and resource management
C. Keep your original cluster configuration, all that is needed is re-optimizing the Oozieworkflow management
D. Implement Apache Cassandra to automatically optimize multi-tenancy workloads
Answer: D

NEW QUESTION: 3
When tuning Automatic PGA Memory Management, which of the following views will provide the information specified?
A. The V$PGA_TARGET_ADVICE view shows how the V$SQL_WORKAREA histogram will change if you change the value of PGA_AGGREGATE_TARGET.
B. The V$PGA_TARGET_ADVICE view shows how performance will improve for the different work areas if you switch from Manual to Automatic PGA Memory Management.
C. The V$PGA_TARGET_ADVICE view shows the predicted cache hit-ratio improvement if you increase PGA_AGGREGATE_TARGET.
D. The V$PGA_TARGET_ADVICE_HISTOGRAM view shows how the
V$SQL_WORKAREA_HISTOGRAM will change if you switch between Manual and Automatic PGA Memory Management.
Answer: C

NEW QUESTION: 4
고객은로드 밸런서에서 5 분마다 모든 클라이언트 연결 정보를 캡처해야 합니다. 회사는 트래픽 패턴을 분석하고 응용 프로그램의 문제를 해결하기 위해 데이터를 사용하려고 합니다. 다음 중 고객 요구 사항에 맞는 옵션은 무엇입니까?
A. 로드 밸런서에서 Amazon CloudWatch 메트릭 사용
B. 로드 밸런서에 Amazon CloudWatch Logs 에이전트 설치
C. 로드 밸런서에서 액세스 로그 사용
D. 로드 밸런서에 AWS CloudTrail 사용
Answer: C