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NEW QUESTION: 1
한 회사가 AWS에서 컨테이너를 사용하여 웹 애플리케이션을 구축하고 있습니다. 회사는 항상 3 개의 웹 애플리케이션 인스턴스를 실행해야 합니다. 애플리케이션은 수요 증가에 맞게 확장 할 수 있어야 합니다.
경영진은 비용에 매우 민감하지만 애플리케이션의 가용성이 높아야 한다는 데 동의합니다.
솔루션 설계자는 무엇을 권장해야 합니까?
A. 두 개의 서로 다른 가용 영역에서 하나의 컨테이너 인스턴스와 함께 Amazon EC2 시작 유형을 사용하여 Amazon Elastic Container Service (Amazon ECS) 클러스터를 생성합니다. 웹 응용 프로그램에 대한 작업 정의를 만듭니다. 하나의 컨테이너 인스턴스에 두 개의 작업을 배치하고 나머지 컨테이너 인스턴스에 하나의 작업을 배치합니다.
B. Fargate 시작 유형을 사용하여 Amazon Elastic Container Service (Amazon ECS) 클러스터를 생성합니다.
웹 응용 프로그램에 대한 작업 정의를 만듭니다. 원하는 개수의 작업 3 개로 ECS 서비스를 생성합니다.
C. 3 개의 서로 다른 가용 영역에서 하나의 컨테이너 인스턴스와 함께 Fargate 시작 유형을 사용하여 Amazon Elastic Container Service (Amazon ECS) 클러스터를 생성합니다. 웹 응용 프로그램에 대한 작업 정의를 만듭니다. 원하는 개수의 작업 3 개로 ECS 서비스를 생성합니다.
D. 하나의 가용 영역에 3 개의 컨테이너 인스턴스가있는 Amazon EC2 시작 유형을 사용하여 Amazon Elastic Container Service (Amazon ECS) 클러스터를 생성합니다. 웹 응용 프로그램에 대한 작업 정의를 만듭니다.
각 컨테이너 인스턴스에 대해 하나의 작업을 배치합니다.
Answer: B
NEW QUESTION: 2
ユーザーがAWS AMIを作成しました。 ユーザーは、AMIを友人以外の誰にも利用できないようにしたいと考えています。 ユーザーはこれをどのように管理できますか？
A. 選択したユーザーとAMIを共有することはできません。
B. AMIを友人のAWSアカウントIDと共有します。
C. AMIを友人のAWSログインIDと共有します。
D. AMIをコミュニティと共有し、誰でも起動する前に承認ワークフローを設定します。
Answer: B
Explanation:
Explanation
In Amazon Web Services, if a user has created an AMI and wants to share with his friends and colleagues he can share the AMI with their AWS account ID. Once the AMI is shared the other user can access it from the community AMIs under private AMIs options.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/sharingamis-explicit.html
NEW QUESTION: 3
Microsoft Azureにラムダアーキテクチャを実装するデータエンジニアです。オープンソースのビッグデータソリューションを使用して、データを収集、処理、および保守します。分析データストアのパフォーマンスが低下しています。
次の要件を満たすソリューションを実装する必要があります。
データウェアハウジングを提供する
継続的な管理活動を削減
SQLクエリの応答を1秒未満で配信します
要件を満たすには、HDInsightクラスターを作成する必要があります。
どのタイプのクラスターを作成する必要がありますか？
A. Apache Hadoop
B. インタラクティブクエリ
C. Apache Spark
D. Apache HBase
Answer: C
Explanation:
Azureを使用したLambdaアーキテクチャ：
Azureは、以下のテクノロジーを組み合わせて提供し、リアルタイムのビッグデータ分析を加速します。
Azure Cosmos DB、グローバルに分散されたマルチモデルデータベースサービス。
大規模なデータ分析アプリケーションを実行する処理フレームワーク、Azure HDInsightのApache Spark。
HDInsightが処理するバッチレイヤーに新しいデータをストリーミングするAzure Cosmos DB変更フィード。
Spark to Azure Cosmos DBコネクター
注：Lambdaアーキテクチャは、バッチ処理とストリーム処理の両方の方法を活用し、ビッグデータのクエリに伴う遅延を最小限に抑えることにより、大量のデータを処理するように設計されたデータ処理アーキテクチャです。
参照：
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos-db/
NEW QUESTION: 4
アカウントを転送する際のオプションは次のうちどれですか（複数正解）
A. クローズされた商談の転送
B. オープンな機会を転送する
C. 未解決のケースを転送する
D. カスタムオブジェクトを転送する
E. クローズされたケースの転送
F. アカウントチームを維持
Answer: A,B,C,E,F