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NEW QUESTION: 1
솔루션 설계자가 기존 워크로드를 AWS Fargate로 마이그레이션하고 있습니다. 이 작업은 시스템 외부에서 애플리케이션으로 직접 연결되지 않는 VPC 내의 프라이빗 서브넷에서만 실행할 수 있습니다. Fargate 작업이 시작되면 다음 오류와 함께 작업이 실패합니다.
솔루션 아키텍트는 이 오류를 어떻게 수정해야 합니까?
A. 작업을 시작할 때 공용 IP 자동 할당 설정에 대해 작업이 비활성화 됨으로 설정되어 있는지 확인합니다.
요청을 인터넷으로 라우팅하도록 VPC의 퍼블릭 서브넷에 NAT 게이트웨이 구성
B. 작업을 시작할 때 자동 할당 공용 IP 판매에 대해 작업이 활성화 됨으로 설정되어 있는지 확인합니다.
C. 네트워크 모드가 Fargate 작업 정의에서 브리지로 설정되어 있는지 확인합니다.
D. 작업을 시작할 때 공용 IP 자동 할당 설정에 대해 작업이 비활성화 됨으로 설정되어 있는지 확인합니다.
요청을 인터넷으로 라우팅하도록 VPC의 프라이빗 서브넷에 NAT 게이트웨이 구성
Answer: A
NEW QUESTION: 2
HOTSPOT
Answer:
Explanation:
For the migration of the on-premise Exchange 2003 mailboxes, we can use a staged migration.
In a staged Exchange migration, mailboxes in your on-premises Exchange organization are migrated to Exchange Online in batches. A staged Exchange migration is a good option if your current on-premises email organization and migration goals meet the following conditions:
For the migration of the hosted Exchange mailboxes, we can use an IMAP migration.
In an IMAP migration, the contents of users' mailboxes on an IMAP messaging system are migrated to their Exchange Online mailboxes. Here are some requirements and considerations for using an IMAP migration:
References:
https://technet.microsoft.com/en-us/library/jj863291(v=exchg.150).aspx
NEW QUESTION: 3
データのサービングレイヤーを設計しています。設計は次の要件を満たしている必要があります。
Azure Active Directory（Azure AD）を使用してユーザーを認証します。
データのホットパスとして機能します。
クエリのスケールアウトをサポートします。
SQLクエリをサポートします。
デザインに何を含めるべきですか？
A. Azure Synapse Analytics
B. Azure Data Lake Storage
C. AzureBlobストレージ
D. Azure Cosmos DB
Answer: D
Explanation:
Explanation
Do you need serving storage that can serve as a hot path for your data? If yes, narrow your options to those that are optimized for a speed serving layer. This would be Cosmos DB among the options given in this question.
Note: Analytical data stores that support querying of both hot-path and cold-path data are collectively referred to as the serving layer, or data serving storage.
There are several options for data serving storage in Azure, depending on your needs:
* Azure Synapse Analytics
* Azure Cosmos DB
* Azure Data Explorer
* Azure SQL Database
* SQL Server in Azure VM
* HBase/Phoenix on HDInsight
* Hive LLAP on HDInsight
* Azure Analysis Services
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores
NEW QUESTION: 4
S3에서 데이터 액세스를 제한하는 데 사용할 수 있는 기능은 무엇입니까? 답변 2 개 선택
A. S3 가상 호스팅 사용
B. 버킷에 대한 CloudFront 배포 생성
C. IAM 자격 증명 연동을 활성화합니다.
D. S3 버킷 정책을 설정하십시오.
E. 버킷 또는 객체에서 S3 ACL을 설정합니다.
Answer: D,E
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/secure-s3-resources/