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NEW QUESTION: 1
한 회사가 Amazon EC2 Linux 인스턴스에서 독점 상태 비 저장 ETL 애플리케이션을 실행합니다. 응용 프로그램은 Linux 바이너리이며 소스 코드는 수정할 수 없습니다. 응용 프로그램은 단일 스레드이며 2GB RAM을 사용합니다. CPU를 많이 사용합니다. 이 응용 프로그램은 4 시간마다 실행되도록 예약되어 있으며 최대 20 분 동안 실행됩니다. 솔루션 아키텍트가 솔루션의 아키텍처를 수정하려고 합니다.
솔루션 아키텍트는 어떤 전략을 사용해야 합니까?
A. AWS Batch를 사용하여 애플리케이션을 실행합니다. AWS Step Functions 상태 시스템을 사용하여 4 시간마다 AWS Batch 작업을 호출합니다.
B. AWS Fargate를 사용하여 애플리케이션을 실행합니다. Amazon EventBridge {Amazon CloudWatch Events)를 사용하여 4 시간마다 Fargate 작업을 호출합니다.
C. AWS Lambda를 사용하여 애플리케이션을 실행합니다. Amazon CloudWatch Logs를 사용하여 4 시간마다 Lambda 함수를 호출합니다.
D. Amazon EC2 스팟 인스턴스를 사용하여 애플리케이션을 실행합니다. AWS CodeDeploy를 사용하여 4 시간마다 애플리케이션을 배포하고 실행합니다.
Answer: A
NEW QUESTION: 2
会社は、AWSにデプロイされているアプリケーションにCI / CDパイプラインを実装したいと考えています。また、社内にホストされているソースコード分析ツールを使用して、セキュリティ上の欠陥をチェックしています。このツールはまだAWSに移行されておらず、オンプレミスでのみアクセスできます。同社は、コードがコンパイルされる前に、パイプラインの一部としてソースコードに対してチェックを実行したいと考えています。チェックの完了には、数分から1時間かかります。
DevOpsエンジニアはどのようにしてこれらの要件を満たすことができますか？
A. AWS CodePipelineを使用してパイプラインを作成します。入力ソースコードをオンプレミスの場所にコピーするシェルスクリプトを作成します。ソースコード分析ツールを呼び出して、結果をCodePipelineに返します。ソースステージの後にカスタムスクリプトアクションを追加して、シェルスクリプトを呼び出します。
B. AWS CodePipelineを使用してパイプラインを作成し、カスタムアクションタイプを作成します。オンプレミスでホストされているハードウェアで実行するカスタムアクションのジョブワーカーを作成します。ジョブワーカーは、オンプレミスコード分析ツールで実行中のセキュリティチェックを処理し、ジョブ結果をCodePipelineに返します。ソースステージの後にパイプラインがカスタムアクションを呼び出すようにします。
C. AWS CodePipelineを使用してパイプラインを作成します。ソースステージの後にAWS Lambda関数を呼び出すアクションをパイプラインに追加します。 Lambda関数に、CodePipelineからのソース入力に対してオンプレミスでソースコード分析ツールを呼び出させます。次に、関数は実行が完了するまで待機し、指定されたAmazon S3の場所に出力を配置します。
D. AWS CodePipelineを使用してパイプラインを作成します。ソースステージの後にステップを追加して、ソースコード分析ツールでテストを呼び出すオンプレミスのホストされたWebサービスにHTTPSリクエストを作成します。
分析が完了すると、Webサービスは、CodePipelineによって提供されるAmazon S3出力場所に結果を配置することにより、結果を送り返します。
Answer: B
NEW QUESTION: 3
Which command needs to be run to add a new node to an existing system?
A. perl adautocfg.pl
B. perl adcfgclone.pl appsTier
C. perl adaddnode.pl
D. perl adcfgclone.pl addnode
Answer: C