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NEW QUESTION: 1

A. Option A
B. Option D
C. Option C
D. Option B
Answer: B

NEW QUESTION: 2
Extended Employee Data can be uploaded for use in the Succession Management module through the following files?
There are 3 correct answers to this question.
Response:
A. Personal Information
B. Trend Information
C. Background Information
D. Succession Data Model
Answer: A,B,C

NEW QUESTION: 3
온라인 소매 업체는 Amazon DynamoDB를 사용하여 고객 거래와 관련된 데이터를 저장하고 있습니다. 테이블의 항목에는 트랜잭션을 설명하는 여러 문자열 속성과 장바구니 및 트랜잭션에 해당하는 기타 세부 사항이 포함 된 JSON 속성이 포함됩니다. 평균 항목 크기는 ~ 250KB이며 대부분 JSON 속성과 관련이 있습니다. 평균적으로 매월 ~ 3GB의 데이터가 생성됩니다.
고객은 테이블에 액세스하여 트랜잭션 히스토리를 표시하고 필요에 따라 트랜잭션 세부 사항을 검토합니다. 테이블에 대한 쿼리의 90 %가 다른 트랜잭션 내역보기를 작성할 때 실행됩니다.
거래 세부 사항 검색 중 10 % 테이블은 CustomerID에서 분할되고 트랜잭션 데이터에서 정렬됩니다.
클라이언트는 테이블에 대해 프로비저닝 된 읽기 용량이 매우 높고 활용률이 매우 높지만 다른 NoSQL 솔루션과 비교하여 Amazon DynamoDB의 비용에 대해 불평합니다.
품질을 저하시키지 않으면서 클라이언트의 읽기 쿼리와 관련된 비용을 줄이는 전략은 무엇입니까?
A. TransactionID에서 기본 테이블을 파티션으로 변경하고, 고객별로 분할되어 날짜별로 정렬 된 GSI를 생성하고, 작은 속성을 GSI로 투영 한 다음 요약 데이터를 위해 GSI를 조회하고 JSON 세부 사항을 위해 기본 테이블을 조회하십시오.
B. 궁극적으로 일관된 읽기를 사용하도록 모든 데이터베이스 호출을 수정하고 고객에게 트랜잭션 기록이 1 초가 지난 것일 수 있음을 알립니다.
C. 테이블을 세로로 분할하고 기본 테이블에 기본 속성을 저장하고 JSON 데이터를 포함하는 보조 테이블에 대한 외래 키 참조를 작성하십시오. 기본 데이터에 대한 기본 테이블을 조회하고 JSON 세부 사항에 대한 보조 테이블을 조회하십시오.
D. 날짜에 정렬 된 LSI 프로젝트에서 JSON 속성을 색인으로 작성한 다음 요약 데이터를 위해 기본 테이블을 조회하고 JSON 세부 사항을 위해 LSI를 조회하십시오.
Answer: C