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NEW QUESTION: 1
You are tasked with the migration of a highly trafficked Node JS application to AWS In order to comply
with organizational standards Chef recipes must be used to configure the application servers that host
this application and to support application lifecycle events.
Which deployment option meets these requirements while minimizing administrative burden?
A. Launch and configure Chef Server on an EC2 instance and leverage the AWS CLI to launch
application servers and configure those instances using Chef.
B. Create a new application within Elastic Beanstalk and deploy this application to a new environment
C. Create a new stack within Opsworks add the appropriate layers to the stack and deploy the application
D. Launch a Mode JS server from a community AMI and manually deploy the application to the launched
EC2 instance
Answer: B

NEW QUESTION: 2
회사는 Amazon Route 53에서 두 AWS 리전 간의 리소스에 대한 페일 오버 전략을 설계하고 있습니다. 회사는 사용자의 트래픽을 대기 시간이 가장 적은 지역으로 라우팅 할 수 있어야 하며, 두 지역이 모두 정상인 경우 Route 53은 두 지역의 리소스로 트래픽을 라우팅해야 합니다.
솔루션 아키텍트는 어떤 전략을 추천해야 합니까?
A. Route 53 대기 시간 DNS 레코드를 사용하여 액티브-액티브 장애 조치를 구성합니다.
B. Route 53 장애 조치 DNS 레코드를 사용하여 액티브-패시브 장애 조치를 구성합니다.
C. Route 53 장애 조치 DNS 레코드를 사용하여 액티브-액티브 장애 조치를 구성합니다.
D. Route 53 대기 시간 DNS 레코드를 사용하여 액티브-패시브 장애 조치를 구성합니다.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-types.html

NEW QUESTION: 3
Which of the following are true about the use of machine learning in a cloud environment? (Choose two).
A. Specialized machine learning algorithms can be deployed to optimize results for specific scenarios.
B. Machine learning can leverage processes in a cloud environment through the use of cloud storage and auto-scaling.
C. Machine learning requires a specialized IT team to create the machine learning models from scratch.
D. Machine learning can just be hosted in the cloud for managed services.
E. Using machine learning solutions in the cloud removes the data-gathering step from the learning process.
F. Just one type of cloud storage is available in the cloud for machine learning workloads.
Answer: A,B

NEW QUESTION: 4
小売企業は現在、オンプレミスのデータセンターでJavaベースのアプリケーションをホストしています。
経営陣は、DevOpsエンジニアがこのアプリケーションをAWSに移行することを望んでいます。要件では、高可用性を維持しながら、インフラストラクチャの管理を可能な限りシンプルにする必要があると述べています。
また、新しいアプリケーションバージョンの展開中、コストは重要な指標ですが、エンジニアは、フリートの少なくとも半分がユーザートラフィックを処理できるようになっていることを確認する必要があります。
これらの要件を満たすために最低限の管理オーバーヘッドが必要なオプションはどれですか。
A. Auto Scalingと負荷分散を使用して、AWS Elastic Beanstalk Javaベースの環境を作成します。
異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動する環境のネットワーク設定を構成します。バッチサイズが50％の展開戦略として、「追加のバッチを使用したローリング」を使用します。
B. Auto Scalingと負荷分散を使用して、AWS Elastic Beanstalk Javaベースの環境を作成します。
さまざまなアベイラビリティーゾーンのサブネット間でインスタンスを起動する環境のネットワークオプションを構成します。バッチサイズが50％の展開戦略として「ローリング」を使用します。
C. AWS CodeDeployデプロイグループを作成し、異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動するように構成されたAuto Scalingグループに関連付けます。 MinimumHealthyHostsオプションがタイプFLEET_PERCENTおよび値50に設定されたカスタムデプロイメント構成でインプレースデプロイメントを構成します。
D. AWS CodeDeployデプロイメントグループを作成し、異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動するように構成されたAuto Scalingグループに関連付けます。アプリケーションデプロイメントのCodeDeploy.HalfAtAtime構成を使用してインプレースデプロイメントを構成します。
Answer: B