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NEW QUESTION: 1
데이터 분석 스타트 업 회사는 솔루션 아키텍트에게 인덱스 데이터에 대한 AWS 데이터 스토어 옵션을 추천하도록 요청합니다. 데이터 처리 엔진은 매일 64TB 이상의 처리된 데이터를 생성하고 입력하며 항목 크기는 최대 300KB에 이릅니다. 스타트 업은 데이터 스토리지를 유연하게 사용할수 있으며 증가하는 데이터 세트 크기로 확장하기 위해 최소한의 노력이 필요한 데이터베이스에 더 관심이 있습니다.
Architect는 어떤 AWS 데이터 스토어 서비스를 추천해야 합니까?
A. 아마존 S3
B. Amazon RDS
C. 아마존 레드 시프트
D. Amazon DynamoDB
Answer: D
Explanation:
Explanation
"a database that requires minimal effort to scale with a growing dataset size" rather than because index data is NoSQL (in my opinion). "Unlike RDS, DynamoDB offers push button scaling, meaning you can scale your DB on the fly, without any down time and it can be automated". If anything, SQL is more of indexing DB than DynamoDB. https://en.wikipedia.org/wiki/Database_index describes what indexed data means while
https://www.agiratech.com/the-key-differences-between-sql-and-nosql-database/ explains the difference between the two and
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SQLtoNoSQL.Indexes.html explains that SQL uses indexed data while DynamoDB on the other hand uses what is called "secondary index".
NEW QUESTION: 2
During a recent breach, an attacker was able to use tcpdump on a compromised Linux server to capture the password of a network administrator that logged into a switch using telnet. Which of the following compensating controls could be implemented to address this going forward?
A. Whitelist tcpdump of Linux servers.
B. Implement separation of duties.
C. Require SSH on network devices.
D. Change the network administrator password to a more complex one.
Answer: C
NEW QUESTION: 3
In a calculation view, what are the different types of input mapping available in Table Function? There are 2 correct answers to this question.
A. Formula
B. Constant
C. Data Source Column
D. Variable
Answer: B,C