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NEW QUESTION: 1
웹 애플리케이션은 사이트 간 VPN 연결을 통해 회사의 온-프레미스 데이터 센터에 연결된 전용 VPC에서 호스팅됩니다. 응용 프로그램은 회사 네트워크에서만 액세스 할 수 있습니다. 업무 시간 동안 사용되는 임시 비 프로덕션 애플리케이션입니다. 일반적으로 가끔 급증하는 워크로드가 적습니다. 애플리케이션에는 백엔드에 Amazon Aurora MySQL 프로비저닝 데이터베이스 클러스터가 있습니다. VPC에는 인터넷 게이트웨이와 NAT 게이트웨이가 연결되어 있습니다. 웹 서버는 Elastic Load Balancer 뒤의 Auto Scaling 그룹에서 프라이빗 서브넷에 있습니다. 웹 서버는 인터넷을 통해 Amazon S3 버킷에 데이터를 업로드합니다. 솔루션 설계자는 운영 비용을 줄이고 아키텍처를 단순화해야 합니다.
솔루션 아키텍트는 어떤 전략을 사용해야 합니까?
A. 웹 서버 Amazon EC2 인스턴스에 3 년의 예약 된 예약 인스턴스를 사용하십시오. VPC에서 NAT 게이트웨이를 제거하고 S3 버킷에 대한 VPC 엔드 포인트를 설정하십시오. Amazon CloudWatch 및 AWS Lambda를 사용하여 Aurora DB 클러스터를 중지하고 시작하여 업무 시간 동안만 작동하도록 하십시오. 네트워크 라우팅 및 보안 규칙 및 변경과 관련된 정책을 업데이트 하십시오.
B. Auto Scaling 그룹 설정을 검토하고 업무 시간에만 Amazon EC2 인스턴스를 작동하도록 예약 된 작업이 지정되어 있는지 확인하십시오. 인터넷 게이트웨이를 분리하고 VPC에서 NAT 게이트웨이를 제거합니다. Aurora 서버리스 데이터베이스를 사용하고 VPC 엔드 포인트를 설정하십시오. S3 버킷의 경우 변경과 관련된 네트워크 라우팅 및 보안 규칙 및 정책을 업데이트 하십시오.
C. Auto Scaling 그룹 설정을 검토하고 업무 시간에만 Amazon EC2 인스턴스를 운영하도록 예약 된 작업이 지정되어 있는지 확인하십시오. 웹 서버 EC2 인스턴스에 대해 3 년의 예약 된 예약 인스턴스 사용 인터넷 게이트웨이를 분리하고 NAT 게이트웨이를 제거하십시오. VPC. Aurora 서버리스 데이터베이스를 사용하고 S3 버킷에 대한 VPC 엔드 포인트를 설정하십시오.
D. Auto Scaling 그룹 설정을 검토하고 업무 시간에만 Amazon EC2 인스턴스를 작동하도록 예약 된 작업이 지정되어 있는지 확인 VPC에서 인터넷 게이트웨이를 분리하고 Aurora 서버리스 데이터베이스 사용 S3 버킷에 대한 VPC 엔드 포인트를 설정한 다음 변경과 관련된 네트워크 라우팅 및 보안 규칙 및 정책 업데이트
Answer: D

NEW QUESTION: 2
For large scale initial identity feed, what approach can help improve performance?
A. Increase the size of the memory in the WebSphere Java Virtual Machine until the data feed meets performance requirements.
B. Modify the person form and reduce the number of attributes.
C. Define default values for account attributes from the administrative console to overwrite data source attributes.
D. Disable provisioning policies before importing identities into the system and then enable applicable provisioning policies.
Answer: D

NEW QUESTION: 3
ウェブアプリケーションは、すべてのデータをAmazon RDS Auroraデータベースインスタンスに保存します。ソリューションアーキテクトは、マーケティングチームの詳細レポートのデータへのアクセスを提供したいと考えていますが、データベースへの追加の負荷がWebアプリケーションのパフォーマンスに影響することを懸念しています。
アプリケーションのパフォーマンスに影響を与えずにレポートを作成するにはどうすればよいですか？
A. データベースのリードレプリカを作成します。
B. データベースを複数のリージョンに構成します。
C. 新しいRDSインスタンスをセカンダリマスターとしてプロビジョニングします。
D. プロビジョニングされたストレージIOPSの数を増やします。
Answer: C

NEW QUESTION: 4
Allen is a network administrator for a hosting company. Multiple different companies store data on the same server. Which of the following is the best method to reduce security issues from co-mingling?
A. Install each data set on a separate drive
B. Install each data set on the same drive, but use EFS to encrypt each data set separately.
C. Install each data set on a separate VM
D. Install each data set on a separate partition
Answer: C
Explanation:
Visualization completely separates the data and prevents commingling. Visualization is a technology that enables customers to run multiple operating systems concurrently on a single physical server, where each of the operating systems runs as a self-contained computer, visualization is the creation of a virtual (rather than actual) version of something, such as an operating system, a server, a storage device, or network resources. It is a computing technology that enables a single user to access multiple physical devices. The goal of visualization is usually a more effective use of resources. It simplifies provisioning, while adding flexibility at the same time.
Answer options B and A are incorrect. An operating system can view partitions and drives just as if they were different folders/directories on the same drive.
Answer option C is incorrect. Encrypting the data sets with EFS will inhibit users' access for the data.