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NEW QUESTION: 1
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. EMR을 사용하고 SCAN 작업을 사용하여 현재 지역의 DynamoDB에서 데이터를 검색하고 두 번째 지역의 DynamoDB로 푸시하는 사용자 지정 스크립트 작성
C. AWS Data Pipeline을 사용하여 하루에 한번 DynamoDB 교차 리전 복사를 예약하고
마지막 업데이트의 타임 스탬프를 나타내며 이를 필터로 사용하는 DynamoDB 테이블의 "LastUpdated"속성
D. 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
Answer: C
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/
NEW QUESTION: 2
Which statement best describes Snowflake tables?
A. Snowflake tables are owned by a user
B. Snowflake tables ate the physical instantiation of data loaded Into Snowflake
C. Snowflake tables require that clustering keys be defined to perform optimally
D. Snowflake tables are logical representations of underlying physical data
Answer: D
NEW QUESTION: 3
HOTSPOT
Answer:
Explanation:
