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NEW QUESTION: 1
회사에는 현재 Amazon EC2에서 실행중인 Node.js 애플리케이션이 있으며 현재 DynamoDB 테이블에서 고객에 대한 데이터를 검색합니다. 회사는 동일한 항목에 대해 많은 반복 쿼리를보고 있으며 응용 프로그램의 인기가 높아짐에 따라 쿼리 수가 계속 증가하고 있습니다.
애플리케이션에 수행해야하는 리팩토링의 양을 최소화하면서 필요한 RCU (읽기 용량 단위) 수를 줄이는 솔루션은 무엇입니까?
A. Lambda 함수를 사용하여 캐싱에 대한 동시 요청
B. Amazon DynamoDB Accelerator (DAX)를 사용하여 캐싱 계층 제공
C. Amazon ElastiCache를 사용하여 캐싱 계층 제공
D. 증가 된 쿼리 수를 관리하기 위해 Amazon DynamoDB의 예약 용량 확보
Answer: B

NEW QUESTION: 2
You need to modify the GetWeatherData() method in the WinMD component at line CE38. Which interface should you use for the return type of the method?
A. IVectorView
B. IMap
C. IVector
D. IList
Answer: A

NEW QUESTION: 3
회사는 RDS MySQL 인스턴스에서 실행되는 기본 트랜잭션 DB에서 매시간 배치 분석을 실행하여 Redshift에서 실행되는 중앙 데이터웨어 하우스를 채웁니다. 일괄 처리를 실행하는 동안 트랜잭션 응용 프로그램이 매우 느립니다. 배치가 완료되면 새 데이터로 최상위 관리 대시 보드를 업데이트해야 합니다. 대시 보드는 수동으로 보낸 전자 메일에서 업데이트가 필요하다는 알림을 받을 때 현재 시작되는 온-프레미스를 실행하는 다른 시스템에서 생성됩니다. 다른 팀에서 관리하므로 온-프레미스 시스템을 수정할 수 없습니다.
이 시나리오를 어떻게 최적화하여 성능 문제를 해결하고 프로세스를 최대한 자동화 하시겠습니까?
A. 오아 텐 분석을 위해 RDS를 Redshift로 교체하고 SQS는 온 프레미스 시스템에 메시지를 보내 대시 보드를 업데이트합니다.
B. 배치 분석을 위해 RDS를 Redshift로 교체하고 SNS는 온 프레미스 시스템에 대시 보드를 업데이트하도록 알립니다.
C. 배치 분석 및 SNS가 RDS 읽기 전용 복제본을 만들어 온 프레미스 시스템에 대시 보드를 업데이트하도록 알려줍니다.
D. 배치 분석 및 SQS에서 RDS 읽기 전용 복제본을 생성하여 온-프레미스 시스템에 메시지를 보내 대시 보드를 업데이트합니다.
Answer: C

NEW QUESTION: 4
Drag the cable type on the left to the purpose for which is it best suited on the right. (Not all options are used.)

Answer:
Explanation: