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NEW QUESTION: 1
한 회사에서 AWS Organizations를 사용하여 상위 계정 1 개와 멤버 계정 9 개를 관리합니다. 비즈니스가 성장함에 따라 멤버 계정 수가 증가 할 것으로 예상됩니다. 보안 엔지니어가 규정 준수를 위해 AWS CloudTrail 로그를 부모 계정에 통합하도록 요청했습니다. 현재 Amazon에 저장된 기존 로그 각 개별 멤버 계정의 S3 버킷은 손실되지 않아야 합니다. 향후 멤버 계정은 로깅 전략을 준수해야 합니다. 이러한 요구 사항을 충족하는 운영 적으로 효율적인 솔루션은 무엇입니까?
A. 교차 계정 역할이 있는 각 멤버 계정에서 AWS Lambda 함수 생성 새 CloudTrail 로그가 생성 될 때 Lambda 함수를 트리거하고 중앙 S3 버킷에 CloudTrail 로그를 복사합니다. 제대로 구성되지 않음
B. 중앙 S3 버킷에 tog 이벤트를 전달하도록 상위 계정에서 조직 수준 CloudTrail 구성 중앙 S3 버킷에 로그 이벤트를 전달하도록 각 멤버 계정에 CloudTrail 구성
C. 중앙 S3 버킷에 로그 이벤트를 전달하도록 상위 계정의 조직 수준 CloudTrail 구성 각 멤버 계정의 기존 CloudTrail 로그를 중앙 S3 버킷으로 마이그레이션 기존 CloudTrail을 삭제하고 멤버 계정에 로그인합니다.
D. 각 멤버 계정에서 CloudTrail을 구성합니다. 중앙 S3 버킷에 로그 이벤트를 전달합니다. 중앙 버킷 정책이 멤버 계정에서 Put Object 액세스를 허용하는지 확인합니다. 기존 로그를 중앙 S3 버킷으로 마이그레이션합니다. 제대로 구성되지 않았습니다.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/creating-trail-organization.html

NEW QUESTION: 2
組織は、現在AWSで実行されている多数のデータストアにデータカタログとメタデータ管理環境を設定しています。データカタログは、データストア内のデータの構造およびその他の属性を決定するために使用されます。データストアは、Amazon RDSデータベース、Amazon Redshift、およびAmazon S3にあるCSVファイルで構成されています。カタログはスケジュールに基づいて作成する必要があり、カタログを管理するには最小限の管理が必要です。
どうすればこれを達成できますか？
A. AWS Glueデータカタログをデータカタログとして使用し、データソースに接続してデータベースにデータを入力するクローラーをスケジュールします。
B. Amazon EC2インスタンスでApache Hiveメタストアを設定し、データソースに接続してメタストアに入力するスケジュールされたbashスクリプトを実行します。
C. Amazonデータベースをデータカタログとして使用し、データソースに接続してデータベースに入力するスケジュールされたAWS Lambda関数を実行します。
D. Amazon DynamoDBをデータカタログとして設定し、データソースに接続してデータベースに入力するスケジュールされたAWS Lambda関数を実行します。
Answer: A
Explanation:
説明
https://docs.aws.amazon.com/glue/latest/dg/populate-data-catalog.html

NEW QUESTION: 3




Answer:
Explanation:

Explanation