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NEW QUESTION: 1
You were recently hired as a project manager at a major university to implement cloud services for the academic and administrative systems. Because the load and demand for services at a university are very cyclical in nature, commensurate with the academic calendar, which of the following aspects of cloud computing would NOT be a primary benefit to you?
A. On-demand self-service
B. Broad network access
C. Measured service
D. Resource pooling
Answer: B
Explanation:
Broad network access to cloud services, although it is an integral aspect of cloud computing, would not being a specific benefit to an organization with cyclical business needs. The other options would allow for lower costs during periods of low usage as well as provide the ability to expand services quickly and easily when needed for peak periods. Measured service allows a cloud customer to only use the resources it needs at the time, and resource pooling allows a cloud customer to access resources as needed. On- demand self-service enables the cloud customer to change its provisioned resources on its own, without the need to interact with the staff from the cloud provider.

NEW QUESTION: 2
AWS Data Pipeline의 일정 파이프 라인과 관련된 세 가지 유형의 항목 중 하나 인 시도는 강력한 데이터 관리 기능을 제공합니다.
다음 중 시도에 대해 진실이 아닌 것은 무엇입니까?
A. 강력한 데이터 관리를 시도합니다.
B. AWS Data Pipeline Attempt 객체는 파이프 라인 구성 요소를 컴파일하여 실행 가능한 인스턴스 세트를 생성합니다.
C. AWS Data Pipeline Attempt 객체는 적용 가능한 경우 다양한 시도, 결과 및 실패 이유를 추적합니다.
D. AWS Data Pipeline은 재시도 횟수가 허용 된 최대 재시도 횟수에 도달 할 때까지 실패한 작업을 재 시도합니다.
Answer: B
Explanation:
설명
AWS Data Pipeline의 일정 파이프 라인과 관련된 세 가지 유형의 항목 중 하나 인 시도는 강력한 데이터 관리 기능을 제공합니다. AWS Data Pipeline은 실패한 작업을 재 시도합니다. 작업이 허용 된 최대 재시도 횟수에 도달 할 때까지 계속 수행됩니다. 시도 개체는 해당되는 경우 다양한 시도, 결과 및 실패 이유를 추적합니다. 기본적으로 카운터가있는 인스턴스입니다. AWS Data Pipeline은 이전 시도와 동일한 리소스 (예 : Amazon EMR 클러스터 및 EC2 인스턴스)를 사용하여 재 시도를 수행합니다.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html

NEW QUESTION: 3
パブリックウェブアプリケーションは、プライベートサブネットのAmazon EC2インスタンスでホストされているデータベースにクエリを実行します。多数のクエリには複数のテーブル結合が含まれ、複雑なクエリの増加により、アプリケーションのパフォーマンスが低下しています。アプリケーションチームは、パフォーマンスを向上させるために更新を実行します。
ソリューションアーキテクトがアプリケーションチームに何を推奨すべきですか？ （2つ選択してください。）
A. Amazon SQSにクエリデータをキャッシュします
B. データをキャッシュするためにAmazon DynamoDB Acceleratorを実装します。
C. クエリをオフロードするためにリードレプリカを作成します
D. データベースをAmazon RDSに移行します
E. データベースをAmazon Athenaに移行します
Answer: B,E