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NEW QUESTION: 1
企業がAWS CodeCommitをソースコードリポジトリとして使用しています。 内部監査後、コンプライアンスチームは、masterブランチに入るコード変更はすべて、上級開発者がコミットする必要があることを義務付けています。
これらの要件を満たすソリューションはどれですか?
A. CodeCommitでリポジトリを作成します。上級開発者と開発者用に別々のIAMグループを作成します。
両方のグループにコードコミット権限を割り当て、上級開発者グループにはコードマージ権限を割り当てます。 Amazon SNSを通じて配信されたコミット要求を承認または拒否するURLリンクをシニア開発者に通知するトリガーを作成します。上級開発者がコードを承認すると、コードはmasterブランチにマージされます。
B. CodeCommitでリポジトリを作成します。上級開発者と開発者用に別々のIAMグループを作成します。
マスターブランチでAWS Lambdaトリガーを使用し、Lambda関数のイベントオブジェクトで開発者のユーザー名を取得します。 IAMグループでユーザー名を検証して、コミットを承認または拒否します。
C. 作業ブランチとマスターブランチを含むCodeCommitでリポジトリを作成します。上級開発者と開発者用に別々のIAMグループを作成します。 IAMポリシーを使用して、各IAMグループに対応するブランチを割り当てます。コードが作業ブランチにマージされると、上級開発者は変更を作業ブランチからマスターブランチにプルできます。
D. CodeCommitで2つのリポジトリを作成します。1つは作業用、もう1つはマスター用です。上級開発者と開発者用に別々のIAMグループを作成します。 IAMグループに関連付けられているリポジトリにリソースレベルの権限を割り当てます。コードの変更を確認した後、承認されたファイルをマスターコードコミットリポジトリに同期します。
Answer: C
NEW QUESTION: 2
What is Software Defined Network (SDN) in reference to cloud computing?
A. SDN is the framework to automatically manage and control a large number of network devices and services in a multi-tenant environment.
B. SDN are security standards that increase environment performance.
C. SDN provides a breakdown, by time, of the quantity and distribution of the unbind transactions found within the audit log.
D. SDN disables group conflict resolution if the environment is configured for replication.
Answer: A
Explanation:
Reference:
http://www.slideshare.net/rjain51/m-16sdn
NEW QUESTION: 3
기계 학습 팀은 Amazon SageMaker를 사용하여 연구 데이터 세트를 사용하여 Apache MXNet 손으로 쓴 숫자 분류기 모델을 교육합니다. 팀은 모델이 과적 합 될 때 알림을 받기를 원합니다. 감사자는 무단 API 호출이 없는지 확인하기 위해 Amazon SageMaker 로그 활동 보고서를 확인하려고 합니다.
최소한의 코드와 최소한의 단계로 요구 사항을 해결하기 위해 기계 학습 팀은 무엇을 해야 합니까?
A. Amazon S3에 Amazon SageMaker API 호출을 기록하는 AWS Lambda 함수를 구현합니다. 사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
B. AWS CloudTrail을 사용하여 Amazon S3에 대한 Amazon SageMaker API 호출을 기록합니다. 사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
C. AWS Lambda 함수를 구현하여 Amazon SageMaker API 호출을 AWS CloudTrail에 기록합니다.
사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
D. AWS CloudTrail을 사용하여 Amazon S3에 대한 Amazon SageMaker API 호출을 기록합니다. 모델이 과적 합할 때 알림을 받도록 Amazon SNS 설정
Answer: B
Explanation:
Log Amazon SageMaker API Calls with AWS CloudTrail
https://docs.aws.amazon.com/sagemaker/latest/dg/logging-using-cloudtrail.html
NEW QUESTION: 4
You design a solution for the web tier of WebApp1 as shown in the exhibit.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation
Box 1: Yes
Any new deployments to Azure must be redundant in case an Azure region fails.
Traffic Manager uses DNS to direct client requests to the most appropriate service endpoint based on a traffic-routing method and the health of the endpoints. An endpoint is any Internet-facing service hosted inside or outside of Azure. Traffic Manager provides a range of traffic-routing methods and endpoint monitoring options to suit different application needs and automatic failover models. Traffic Manager is resilient to failure, including the failure of an entire Azure region.
Box 2: Yes
Recent changes in Azure brought some significant changes in autoscaling options for Azure Web Apps (i.e.
Azure App Service to be precise as scaling happens on App Service plan level and has effect on all Web Apps running in that App Service plan).
Box 3: No
Traffic Manager provides a range of traffic-routing methods and endpoint monitoring options to suit different application needs and automatic failover models. Traffic Manager is resilient to failure, including the failure of an entire Azure region.
Reference:
https://docs.microsoft.com/en-us/azure/traffic-manager/traffic-manager-overview
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/