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NEW QUESTION: 1
전자 상거래 회사는 IT 인프라를 개선하고 AWS 서비스를 사용할 계획입니다. 이 회사의 CIO는 솔루션 설계자에게 고 가용성의 느슨하게 결합된 주문 처리 응용 프로그램을 설계하도록 요청했습니다. 응용 프로그램은 Amazon DynamoDB 테이블에 주문을 저장하기 전에 주문을 받고 처리합니다. 응용 프로그램은 산발적 인 트래픽 패턴을 가지고 있으며 마케팅 지연 중에도 지연을 최소화하면서 주문을 처리 할 수 있어야 합니다.
다음 중 요구 사항을 충족시키는 가장 신뢰할수 있는 방법은 무엇입니까?
A. Amazon EC2 호스팅 데이터베이스에서 주문을 받고 EC2 인스턴스를 사용하여 주문을 처리합니다.
B. AWS Step Functions 프로그램을 사용하여 주문을 받고 Amazon ECS 컨테이너를 트리거하여 처리합니다.
C. Amazon SQS 대기열에서 주문을 받고 AWS 람다 함수를 트리거하여 처리합니다.
D. Amazon Kinesis Data Streams에서 주문을 받고 Amazon EC2 인스턴스를 사용하여 주문을 처리합니다.
Answer: D

NEW QUESTION: 2
A utility company is building an application that stores data coming from more than 10,000 sensors. Each sensor has a unique ID and will send a datapoint (approximately 1KB) every 10 minutes throughout the day. Each datapoint contains the information coming from the sensor as well as a timestamp. This company would like to query information coming from a particular sensor for the past week very rapidly and wants to delete all the data that is older than 4 weeks.
Using Amazon DynamoDB for its scalability and rapidity, how do you implement this in the most cost effective way Choose the correct answer:
A. One table for each week with a primary key that is the sensor ID and a hash key that is the timestamp
B. One table, with a primary key that is the sensor ID and a hash key that is the timestamp
C. One table for each week with a primary key that is the concatenation of the sensor ID and timestamp
D. One table with a primary key that is the concatenation of the sensor ID and timestamp
Answer: C
Explanation:
Composite key with Sensor ID and timestamp would help for faster queries

NEW QUESTION: 3


Answer:
Explanation: