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NEW QUESTION: 1
会社は、通常のトラフィック中に少なくとも4つのAmazon EC2インスタンスを必要とし、ピーク負荷時に最大12のEC2インスタンスにスケールアップする必要があるアプリケーションに依存しています。アプリケーションはビジネスにとって重要であり、高可用性である必要があり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. Auto ScalingグループにEC2インスタンスをデプロイするアベイラビリティーゾーンAで8をすべて使用して最小値を8に、最大値を12に設定します
B. Auto ScalingグループにEC2インスタンスをデプロイする最小値を4に、最大値を12に設定し、4つすべてをアベイラビリティーゾーンAに設定します
C. Auto ScalingグループにEC2インスタンスをデプロイする最小値を4に、最大値をMに設定します。
アベイラビリティーゾーンAに2つ、アベイラビリティーゾーンBに2つ
D. Auto ScalingグループにEC2インスタンスをデプロイする最小値を8に、最大値を12に設定します。
アベイラビリティーゾーンAに4つ、アベイラビリティーゾーンBに4つ
Answer: B

NEW QUESTION: 2
You have an Azure subscription that contains the resources shown in the following table.

VM1 connects to VNET1.
You need to connect VM1 to VNET2.
Solution: You turn off VM1, and then you add a new network interface to VM1. Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead you should delete VM1. You recreate VM1, and then you add the network interface for VM1.
Note: When you create an Azure virtual machine (VM), you must create a virtual network (VNet) or use an existing VNet. You can change the subnet a VM is connected to after it's created, but you cannot change the VNet.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/network-overview

NEW QUESTION: 3
한 국제 회사에서 단일 지역의 DynamoDB를 사용하는 다중 계층 웹 애플리케이션을 배포했습니다. 규정 상 복구 시간 목표가 2 시간이고 복구 지점 목표가 24 시간 인 별도의 지역에서 재해 복구 기능이 필요합니다. 데이터를 정기적으로 동기화하고 CloudFormation을 사용하여 웹 애플리케이션을 빠르게 프로비저닝할수 있어야 합니다.
목표는 기존 웹 애플리케이션의 변경을 최소화하고, 데이터 동기화에 사용되는 DynamoDB의 처리량을 제어하고 수정된 요소만 동기화하는 것입니다.
이러한 요구 사항을 충족하기 위해 어떤 디자인을 선택하시겠습니까?
A. 각 쓰기를 두 번째 리전의 SQS 큐로 전송, SQS 큐 뒤에 있는 자동 스케일링 그룹을 사용하여 두 번째 리전에서 쓰기를 재생
B. AWS Data Pipeline을 사용하여 하루에 한번 DynamoDB 교차 리전 복사를 예약하고
마지막 업데이트의 타임 스탬프를 나타내며 이를 필터로 사용하는 DynamoDB 테이블의 "LastUpdated"속성
C. AWS Data Pipeline을 사용하여 하루에 한번 현재 지역의 DynamoDB 테이블 내보내기를 S3으로 내보내기를 예약한 다음 다른 작업의 S3에서 DynamoDB로 데이터를 가져 오는 즉시 다른 작업 예약
D. EMR을 사용하고 SCAN 작업을 사용하여 현재 지역의 DynamoDB에서 데이터를 검색하고 두 번째 지역의 DynamoDB로 푸시하는 사용자 지정 스크립트 작성
Answer: B
Explanation:
B: No Schedule and throughput control
C: With AWS Data pipeline the data can be copied directly to other DynamoDB table D: Not Automated to replay the write
https://aws.amazon.com/blogs/aws/copy-dynamodb-data-between-regions-using-the-aws-data- pipeline/