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NEW QUESTION: 1
솔루션 아키텍트는 AWS에 배포되는 새로운 애플리케이션을 위한 클라우드 아키텍처를 설계하고 있습니다. 처리 할 작업 수에 따라 필요에 따라 애플리케이션 노드를 추가 및 제거하는 동안 프로세스가 병렬로 실행되어야 합니다. 프로세서 애플리케이션은 상태가 없습니다. 응용 프로그램이 느슨하게 결합되고 작업 항목이 내구성 있게 저장됩니다. 솔루션 설계자는 어떤 설계를 사용해야 합니까?
A. 처리해야 할 작업을 보유 할 Amazon SQS 대기열 생성 프로세서 애플리케이션으로 구성된 Amazon 머신 이미지 (AMI) 생성 AMI를 사용하는 시작 템플릿 생성 시작 템플릿을 사용하여 Auto Scaling 그룹 생성 Set Auto Scaling 그룹이 SQS 대기열의 항목 수에 따라 노드를 추가 및 제거하기위한 조정 정책
B. 처리해야 할 작업을 보내기 위해 Amazon SNS 주제 생성 프로세서 애플리케이션으로 구성된 Amazon 머신 이미지 (AMI) 생성 AMI를 사용하는 시작 템플릿 생성 시작 템플릿을 사용하여 Auto Scaling 그룹 생성 Auto Scaling 그룹이 SNS 주제에 게시 된 메시지 수에 따라 노드를 추가 및 제거하기 위한 조정 정책.
C. 처리해야 할 작업을 보내기 위해 Amazon SNS 주제 생성 프로세서 애플리케이션으로 구성된 Amazon 머신 이미지 (AMI) 생성 AMI를 사용하는 시작 구성 생성 시작 구성을 사용하여 Auto Scaling 그룹 생성 CPU 사용량을 기반으로 노드를 추가 및 제거하기 위한 Auto Scaling 그룹의 조정 정책
D. 처리해야하는 작업을 유지하기 위해 Amazon SQS 대기열 생성 프로세서 애플리케이션으로 구성된 Amazon 머신 이미지 (AMI) 생성 AMI를 사용하는 시작 구성 생성 시작 구성을 사용하여 Auto Scaling 그룹 생성 Auto Scaling 그룹이 네트워크 사용에 따라 노드를 추가 및 제거하기 위한 조정 정책
Answer: A
Explanation:
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20nearly%20unlimited%20throughput.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html

NEW QUESTION: 2

A. Option B
B. Option C
C. Option D
D. Option A
Answer: A
Explanation:
Explanation
Horizon is the canonical implementation of OpenStack's Dashboard, which provides a web based user interface to OpenStack services including Nova, Swift, Keystone, etc.

NEW QUESTION: 3
When using VTL on an EMC Data Domain system, why should persistent binding be enabled on the host?
A. Provides access to devices during an outage
B. Provides high availability
C. Enables LUN Masking, assisting in performance
D. Prevents interruption of backup operations after a system reboot
Answer: D

NEW QUESTION: 4
DevOpsエンジニアは、AWS CodePipelineとAWS CodeBuildを使用して、サーバーレスアプリケーションの継続的な展開パイプラインを構築しています。ソース、ビルド、およびテストの各段階は、展開段階を残して作成されています。同社は、特定の顧客のサブセットに展開し、すべての顧客に完全にリリースする前に監視することにより、展開が失敗するリスクを軽減したいと考えています。
これらの要件を満たすために、展開ステージをどのように構成する必要がありますか?
A. AWS CloudFormationを使用して、スタックの更新ごとに新しいバージョンを発行します。次に、開発者がCodePipeline承認アクションを設定して、新しいバージョンをテストおよび承認します。最後に、CodePipelineのinvokeアクションを使用して、AWS Lambda関数を更新し、プロダクションエイリアスを使用します
B. AWS CloudFormationを使用してサーバーレスアプリケーションを定義し、AWS CodeDeployを使用してDeploymentPreference:を使用してAWS Lambda関数をデプロイします。カナリア10パーセント15分
C. AWS CloudFormationを使用して、スタックの更新ごとに新しいバージョンを発行します。 AWS :: Lambda :: AliasリソースのRoutingConfigプロパティを使用して、スタックの更新中にトラフィックルーティングを更新します。
D. CodeBuildを使用してAWS CLIを使用してAWS Lambda関数コードを更新し、関数の新しいバージョンを発行し、関数の新しいバージョンを指すようにプロダクションエイリアスを更新します。
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverle

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