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NEW QUESTION: 1
한 회사에서 아시아 및 남미 지역의 고객을 대상으로하는 새 버전의 웹 사이트를 출시했습니다. 웹 사이트의 미디어 자산은 Amazon S3에서 호스팅되며 최종 사용자 성능을 향상시키기 위해 Amazon CloudFront 배포판이 있습니다. 그러나 사용자는 로그인 경험이 좋지 않습니다. 인증 서비스는 us-east-1 AWS 리전에서만 사용할 수 있습니다.
Solutions Architect는 최소한의 관리 오버 헤드로 로그인 환경을 개선하고 높은 보안 및 성능을 유지하는 방법은 무엇입니까?
A. Amazon Route 53 가중 라우팅 정책을 사용하여 트래픽을 CloudFront 배포로 라우팅합니다. CloudFront 캐시 된 HTTP 메서드를 사용하여 사용자 로그인 환경을 개선하십시오.
B. 각 지역의 설정을 복제하고 Network Load Balancer를 사용하여 가장 가까운 지역에서 실행되는 인증 서비스로 트래픽을 사용자에게 라우팅합니다.
C. CloudFront 뷰어 요청 트리거에 연결된 Amazon Lambda @ Edge를 사용하여 세션 만료와 함께 안전한 쿠키 토큰을 유지하여 여러 지역에서 사용자 경험을 개선함으로써 사용자를 인증하고 권한을 부여하십시오.
D. 새로운 각 지역에서 설정을 복제하고 Amazon Route 53 지리 기반 라우팅을 사용하여 트래픽을 사용자와 가장 가까운 AWS 리전으로 라우팅합니다.
Answer: C
Explanation:
Explanation
There are several benefits to using Lambda@Edge for authorization operations. First, performance is improved by running the authorization function using Lambda@Edge closest to the viewer, reducing latency and response time to the viewer request. The load on your origin servers is also reduced by offloading CPU-intensive operations such as verification of JSON Web Token (JWT) signatures. Finally, there are security benefits such as filtering out unauthorized requests before they reach your origin infrastructure.
https://aws.amazon.com/blogs/networking-and-content-delivery/authorizationedge-how-to-use-lambdaedge-and-

NEW QUESTION: 2

A. Option D
B. Option C
C. Option B
D. Option A
Answer: A

NEW QUESTION: 3
問題のあるフォームで「回避策の伝達」をクリックするとどうなりますか？
A. 回避策は、インシデントの状態が「保留中」である問題にリンクされているすべてのインシデントのコメントにコピーされます。
B. 回避策は、状態が「保留中」のインシデントを除く、問題にリンクされているすべてのインシデントのコメントにコピーされます。
C. 回避策は、インシデントの状態が「保留中」で、保留理由が「問題待ち」である、問題にリンクされているすべてのインシデントのコメントにコピーされます。
D. 回避策は、問題に関連するすべてのインシデントのコメントにコピーされます。
Answer: D
Explanation:
Explanation
This behavior has changed in New York release and now the workaround is copied to all linked incidents, not only those with state equals to On Hold.

NEW QUESTION: 4
회사에는 두 가지 애플리케이션이 있습니다. 처리 할 페이로드가 포함 된 메시지를 보내는 발신자 애플리케이션과 페이로드가 포함 된 메시지를 수신하기 위한 처리 애플리케이션 회사는 두 애플리케이션 간의 메시지를 처리하는 AWS 서비스를 구현하려고 합니다. 발신자 응용 프로그램은 시간당 약 1,000 개의 메시지를 보낼 수 있습니다. 메시지를 처리하는 데 최대 2 일이 소요될 수 있습니다. 메시지가 처리되지 않으면 나머지 메시지의 처리에 영향을 주지 않도록 보관해야 합니다. 이러한 요구 사항을 충족하는 솔루션과 운영상 가장 효율적입니까?
A. 발신자 및 프로세서 애플리케이션을 Amazon Simple Queue Service (Amazon SQS) 대기열과 통합합니다. 처리하지 못한 메시지를 수집하도록 배달 못한 편지 대기열 구성
B. 처리 할 알림을 수신하려면 처리 애플리케이션을 Amazon Simple Notification Service (Amazon SNS) 주제에 구독하십시오. SNS 주제에 쓸 발신자 애플리케이션을 통합하십시오.
C. Amazon Kinesis 데이터 스트림을 사용하여 발신자 애플리케이션에서 메시지 수신 처리 애플리케이션을 Kinesis Client Library (KCL)와 통합
D. Redis 데이터베이스를 실행하는 Amazon EC2 인스턴스 설정 인스턴스를 사용하도록 두 애플리케이션을 각각 구성하고 메시지를 처리하고 삭제합니다.
Answer: A