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NEW QUESTION: 1
You need to process system alerts.
Which two alert types must be processed?
Each correct answer presents part of the solution.
A. change-based alerts
B. workflow alerts
C. due date alerts
D. automatic alerts
NEW QUESTION: 2
A customer has a business requirement to have replicated data with zero data loss, and to have data replicated to a facility 3,500 km away.
Which solution meets the requirements?
A. Athree data center multi-target with a TrueCopy leg and a HUR leg
B. Athree data center cascade using only HUR
C. Athree data center multi-target with two HUR legs
D. Athree data center cascade using only TrueCopy
NEW QUESTION: 3
A. 22 days
B. 12 days
C. 17 days
D. 16 days
NEW QUESTION: 4
전 세계에 분산 된 장치를 지원하는 loT 시스템의 백엔드 응용 프로그램을 디버깅하는 동안 Solutions Architect는 오래된 데이터가 때때로 사용자 장치로 전송되는 것을 알 수 있습니다. 디바이스는 종종 데이터를 공유하며 대부분의 경우 오래된 데이터로 인해 문제가 발생하지 않습니다. 그러나 업데이트 후 디바이스가 오래된 데이터를 읽을 때 디바이스 작동이 중단됩니다. 글로벌 시스템에는 다른 AWS 리전에서 여러 개의 동일한 애플리케이션 스택이 배포되어 있습니다. 홈 지역 리전은 항상 지리적으로 가장 가까운 AWS 리전에 연결하여 데이터를 쓰거나 읽습니다. Amazon DynamoDB 글로벌 테이블을 사용하여 지원되는 모든 AWS 리전에서 동일한 데이터를 사용할 수 있습니다. 디바이스 운영 중단을 피하기 위해 어떤 변경을해야합니까?
A. 하나의 AWS 리전을 마스터로 선택하고 해당 AWS 리전에서만 모든 쓰기 수행 강력하게 일관된 읽기를 사용하도록 백엔드 업데이트
B. DynamoDB 글로벌 테이블에서 전 세계적으로 강력한 일관성 유지 백엔드를 업데이트하여 매우 일관된 읽기 사용
C. 리전 간 복제본을 사용하여 백엔드 데이터 저장소를 Amazon Aurora MySQL로 전환 백엔드를 업데이트하여 항상 마스터 엔드 포인트에 쓰십시오.
D. 강력하고 일관된 읽기를 사용하도록 백엔드를 업데이트하십시오. 홈 AWS 리전에서 항상 쓰고 읽도록 디바이스 업데이트
" An application can read and write data to any replica table. If your application only uses eventually consistent reads and only issues reads against one AWS Region, it will work without any modification.
However, if your application requires strongly consistent reads, it must perform all of its strongly consistent reads and writes in the same Region. DynamoDB does not support strongly consistent reads across Regions.
Therefore, if you write to one Region and read from another Region, the read response might include stale data that doesn't reflect the results of recently completed writes in the other Region. If applications update the same item in different Regions at about the same time, conflicts can arise. To help ensure eventual consistency, DynamoDB global tables use a last writer wins reconciliation between concurrent updates, in which DynamoDB makes a best effort to determine the last writer. With this conflict resolution mechanism, all the replicas will agree on the latest update and converge toward a state in which they all have identical data. "