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NEW QUESTION: 1
A Developer must build an application that uses Amazon DynamoDB. The requirements state that items being stored in the DynamoDB table will be 7KB in size and that reads must be strongly consistent. The maximum read rate is 3 items per second, and the maximum write rate is 10 items per second.
How should the Developer size the DynamoDB table to meet these requirements?
A. Read: 6 read capacity units
Write: 70 write capacity units
B. Read: 6 read capacity units
Write: 10 write capacity units
C. Read: 3 read capacity units
Write: 10 write capacity units
D. Read: 3 read capacity units
Write: 70 write capacity units
Answer: D

NEW QUESTION: 2
User authentication:
A. always consists of two factors.
B. is the same as user identification.
C. requires an RSA SecurID token.
D. can consist of one or more factors.
Answer: D

NEW QUESTION: 3
서버에서 데이터를 일괄 처리하여 처리량을 위해 제출하기 전에 응용 프로그램을 구성했습니다. 프런트 엔드 또는 응용 프로그램 서버에 오류가 발생하여 로그 데이터가 손실되었습니다. 어떻게 이것이 미래에 발생하지 않도록 할 수 있습니까?
정답을 선택하십시오.
A. Amazon Machine Learning을 사용하여 기록 로그 정보를 입력하고 Redshift를 사용하여 로그 분석 및 저장
B. 시스템 및 응용 프로그램 로그를 Amazon EMR에 제출하고 초 이내에 처리 할 수 ​​있도록 데이터에 액세스하십시오.
C. 시스템 및 응용 프로그램 로그를 Amazon Kinesis Stream에 제출하고 초 이내에 처리 할 수 ​​있도록 스트림에 액세스합니다.
D. 람다를 트리거하여 로그 파일이 Amazon S3에 업로드되거나 수정 된 프로세스를 호출합니다.
Answer: C
Explanation:
설명:
Amazon Kinesis Streams를 사용하면 제작자가 데이터를 Amazon Kinesis 스트림에 직접 푸시 할 수 있습니다. 예를 들어 Amazon Kinesis Streams에 시스템 및 응용 프로그램 로그를 제출하고 몇 초 내에 스트림을 처리하여 처리 할 수 ​​있습니다. 이렇게하면 프런트 엔드 또는 응용 프로그램 서버가 실패 할 경우 로그 데이터가 손실되는 것을 방지하고 원본의 로컬 로그 저장소를 줄입니다.
Amazon Kinesis Streams는 서버에 데이터를 입력하기 전에 데이터를 일괄 처리하지 않기 때문에 데이터를 빠르게 받아 들일 수 있습니다.
참고:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf