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NEW QUESTION: 1
보험 견적을 처리하는 AWS를 사용하여 웹 애플리케이션을 설계하는 회사 사용자가 애플리케이션에서 견적을 요청합니다. 견적은 견적 유형으로 구분해야하며 24 시간 이내에 응답해야 하며 손실되지 않아야 합니다. 솔루션은 설정 및 유지 관리가 간단해야 합니다.
어떤 솔루션이 이러한 요구 사항을 충족합니까?
A. 견적 유형에 따라 여러 Amazon Kinesis 데이터 스트림 생성 올바른 데이터 스트림으로 메시지를 보내도록 웹 애플리케이션 구성 KCL (Kinesis Client Library)을 사용하여 각 백엔드 애플리케이션 서버 그룹이 자체 데이터 스트림에서 메시지를 풀링하도록 구성
B. 여러 Amazon Simple Notification Service {Amazon SNS) 주제를 생성하고 견적 유형에 따라 Amazon SQS 대기열을 자체 SNS 주제에 등록하십시오. SNS 주제 대기열에 메시지를 게시하도록 웹 응용 프로그램 구성 고유 한 SQS 대기열을 작동하도록 각 백엔드 응용 프로그램 서버 구성
C. 단일 Amazon Simple Notification Service {Amazon SNS) 주제를 생성하고 Amazon SQS 대기열을 SNS 주제에 가입 따옴표 유형을 기반으로 메시지를 적절한 SQS 대기열에 게시하도록 SNS 메시지 필터링 구성. 자체 백엔드 애플리케이션 서버가 자체 SQS 큐를 작동하도록 구성하십시오.
D. 견적 유형에 따라 여러 Amazon Kinesis Data Firehose 전송 스트림을 생성하여 Amazon Elasticsearch Service {Amazon ES) 클러스터에 데이터 스트림을 전달합니다. 적절한 전송 스트림으로 메시지를 보내도록 웹 애플리케이션 구성 Amazon ES에서 메시지를 검색하고 그에 따라 처리하도록 애플리케이션 서버의 각 백엔드 그룹을 구성하십시오.
Answer: C
Explanation:
https://docs.aws.amazon.com/sns/latest/dg/sns-message-filtering.html
It all depends on where you want to do the quote type classification i.e. in the app and send to a different/multiple SNS topics (B) or use SNS filtering to do the type classification (C). The question doesn't really give you enough info to make a clear choice but configuring SNS filtering is probablgt less work and easier to maintain than maintaining app code.

NEW QUESTION: 2
회사에는 Amazon CloudFront, Amazon API Gateway 및 AWS Lambda 함수로 구성된 서버리스 애플리케이션이 있습니다. 애플리케이션 코드의 현재 배포 프로세스는 Lambda 함수의 새 버전 번호를 생성하고 AWS CLI 스크립트를 실행하여 업데이트 하는 것입니다. 새 함수 버전에 오류가 있는 경우 다른 CLI 스크립트는 이전 작업 버전의 함수를 배포하여 되돌립니다. 이 회사는 Lambda 함수에서 제공하는 애플리케이션 로직의 새 버전을 배포하는 시간을 줄이고 오류가 식별 될 때 감지하고 되 돌리는 시간도 단축하고자 합니다.
이것이 어떻게 성취 될 수 있습니까?
A. AWS SAM 및 기본 제공 AWS CodeDeploy를 사용하여 새 Lambda 버전을 배포하고, 점차적으로 트래픽을 새 버전으로 이동하고, 트래픽 전 및 트래픽 후 테스트 기능을 사용하여 코드를 확인합니다. Amazon CloudWatch 경보가 트리거 되면 롤백합니다.
B. AWS CLI 스크립트를 새 Lambda 버전을 배포하는 단일 스크립트로 리팩터링 합니다. 배포가 완료되면 스크립트 테스트가 실행됩니다. 오류가 감지되면 이전 Lambda 버전으로 되돌립니다.
C. 새 Lambda 버전을 참조하는 새 API Gateway 엔드 포인트로 구성된 AWS CloudFormation 스택을 생성하고 배포합니다. CloudFront 오리진을 새 API Gateway 엔드 포인트로 변경하고, 오류를 모니터링하고, 감지 된 경우 AWS CloudFront 오리진을 이전 API Gateway 엔드 포인트로 변경합니다.
D. AWS CloudFront 배포 및 API Gateway로 구성된 상위 스택과 Lambda 함수가 포함 된 하위 스택을 사용하여 중첩 된 AWS CloudFormation 스택을 생성하고 배포합니다. Lambda를 변경하려면 AWS CloudFormation 변경 세트를 생성하고 배포합니다. 오류가 트리거되면 AWS CloudFormation 변경 세트를 이전 버전으로 되돌립니다.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-supports-traffic-shifting-and-phased-deploy
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverle

NEW QUESTION: 3
展示を参照してください。

アクセスリストacl-guestがvpn1インターフェイスの受信に適用された後、この設定からどのQoS処理が発生しますか?
A. 172.16.20.1から172.16.10.1宛てのTCPパケットが受け入れられます
B. 172.16.10.1から172.16.20.1を宛先とするUDPパケットがドロップされます。
C. 172.16.20.1から172.16.10.1宛てのUDPパケットが受け入れられます
D. 172.16.10.1から172.16.20.1宛てのTCPパケットがドロップされます
Answer: B

NEW QUESTION: 4
You have a router with dual Routing Engines. You want to ensure that your users experience minimum downtime. You have decided to enable graceful Routing Engine switchover on the router.
Which output accomplishes this task?
A. {master} user@R1-re0> show system snapshot Information for snapshot on hard-disk Creation datE.Nov 1 1 :5 :0 2012 JUNOS version on snapshot: jbase : 11.4R2 jcrypto: 11.4R2 jdocs : 11.4R2 jkernel: 11.4R2 jpfe : M40-11.4R2 jroute : 11.4R2
B. {backup} user@R1-re1> show system switchover Graceful switchover: On Configuration databasE.Ready kernel databasE.Ready Peer StatE.steady State
C. {master} user@R1-re0> show system switchover Graceful switchover: On Configuration databasE.Ready kernel databasE.Ready Peer StatE.steady State
D. {backup} user@R1-re1> show system snapshot Information for snapshot on hard-disk Creation datE.Nov 1 1 :5 :0 2012 JUNOS version on snapshot: jbase : 11.4R2 jcrypto: 11.4R2 jdocs : 11.4R2 jkernel: 11.4R2 jpfe : M40-11.4R2 jroute : 11.4R2
Answer: B