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NEW QUESTION: 1
What are some characteristics of SAP S / 4HANA Cloud? two
A. SAP S / 4HANA Cloud is multi-tenant, meaning your service runs in a shared environment.
B. SAP S / 4HANA Cloud runs in an infrastructure with private, managed services for SAP solutions.
C. SAP S / 4HANA Cloud includes quarterly innovation cycles.
D. SAP S / 4HANA Cloud provides additional functionality for customers that require broad extensions and deep configuration capabilities.
E. SAP S / 4HANA Cloud is single-tenant, meaning your service runs in a dedicated environment.
Answer: A,C
NEW QUESTION: 2
개발 팀은 회사 내에 서버없는 응용 프로그램으로 새로운 API를 배포하고 있습니다. 팀은 현재 AWS Management Console을 사용하여 Amazon API Gateway, AWS Lambda 및 Amazon DynamoDB 리소스를 프로비저닝하고 있습니다. Solutions Architect는 이러한 서버리스 API의 향후 배포를 자동화하는 업무를 맡았습니다.
이것이 어떻게 이루어질 수 있습니까?
A. AWS CloudFormation을 사용하여 서버리스 애플리케이션을 정의하십시오. Lambda 함수에서 버전 관리를 구현하고 버전을 가리키는 별칭을 만듭니다. 배포시 가중치를 구성하여 트래픽을 최신 버전으로 전환하고 트래픽이 이동할 때 가중치를 점차 업데이트하십시오.
B. 애플리케이션 코드를 AWS CodeCommit 코드 리포지토리에 커밋합니다. AWS CodePipeline을 사용하고 CodeCommit 코드 리포지토리에 연결하십시오. AWS CodeDeploy를 사용하여 Lambda 함수를 구축 및 배포하려면 AWS CodeBuild를 사용하십시오. 트래픽을 새 버전으로 점차 이동하려면 CodeDeploy에서 배포 환경 설정 유형을 지정하십시오.
C. Lambda 지원 커스텀 리소스와 함께 AWS CloudFormation을 사용하여 API 게이트웨이를 프로비저닝하십시오. AWS :: DynamoDB :: Table 및 AWS :: Lambda :: Function 리소스를 사용하여 Amazon DynamoDB 테이블 및 Lambda 함수를 생성하십시오. CloudFormation 템플릿 배포를 자동화하는 스크립트를 작성하십시오.
D. AWS Serverless Application Model을 사용하여 리소스를 정의하십시오. YAML 템플릿 및 애플리케이션 파일을 코드 저장소에 업로드하십시오. AWS CodePipeline을 사용하여 코드 리포지토리에 연결하고 AWS CodeBuild를 사용하여 구축 할 작업을 생성하십시오. CodePipeline에서 AWS CloudFormation 배포 공급자를 사용하여 솔루션을 배포하십시오.
Answer: D
Explanation:
Explanation
https://aws-quickstart.s3.amazonaws.com/quickstart-trek10-serverless-enterprise-cicd/doc/serverless-cicd-for-th
https://aws.amazon.com/quickstart/architecture/serverless-cicd-for-enterprise/
NEW QUESTION: 3
あなたの会社は、ペットの健康的なライフスタイルを促進する家族を支援するために、生体情報を収集する次世代のペット首輪の開発を進めています。各カラーがプッシュされます
2秒ごとに30 KBのJSON形式のバイオメトリックデータを収集プラットフォームに送信し、データを処理および分析して、ウェブポータルを介してペットの所有者および獣医師に健康傾向情報を提供します。管理者は、次の要件が満たされるように収集プラットフォームを設計するようにあなたに任せました。
- インバウンド生体認証データのリアルタイム分析機能を提供します
- 生体認証データの処理が非常に耐久性があり、弾力性があり、並列であることを確認する
- 分析処理の結果は、データマイニングのために保持する必要があります
以下に概説するどのアーキテクチャが、収集プラットフォームの初期要件を満たしますか？
A. SQSを使用して受信センサーデータを収集し、Amazon Kinesisを使用してSQSからのデータを分析し、結果をMicrosoft SQL Server RDSインスタンスに保存します。
B. S3を使用して受信センサーデータを収集し、毎日スケジュールされたデータパイプラインでS3からのデータを分析し、結果をRedshiftクラスターに保存します。
C. Amazon Kinesisを使用して受信センサーデータを収集し、Kinesisクライアントでデータを分析し、EMRを使用して結果をRedshiftクラスターに保存します。
D. EMRを使用して受信センサーデータを収集し、Amazon KinesisでEMRのデータを分析し、結果をDynamoDBに保存します。
Answer: C
NEW QUESTION: 4
A. Option D
B. Option H
C. Option G
D. Option C
E. Option F
F. Option E
G. Option B
H. Option A
Answer: G
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