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NEW QUESTION: 1
애플리케이션이 테라 바이트 규모의 데이터 처리를 지원해야 합니다. 어떤 큰 데이터 도구를 사용할 수 있습니까?
정답을 선택하십시오.
A. Amazon Data Pipeline
B. 스파크가있는 Amazon EMR
C. Amazon Redshift
D. Amazon Machine Learning
Answer: B
Explanation:
설명:
Amazon ML은 최대 100GB의 데이터를 지원할 수 있지만 현재 테라 바이트 규모의 데이터 처리는 지원되지 않습니다. Amazon EMR을 사용하여 Spark의 Machine Learning Library (MLlib)를 실행하는 것은 이러한 사용 사례를 위한 일반적인 도구입니다.
참고:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf

NEW QUESTION: 2
A System Manager is creating a production for a case. The production must produce all non-Excel file types in TIFF format and produce all Excel files in native format. All files should be named with a production number.
How should this production be created?
A. use a native production, for imaging unmark all non-Excel files types, and set one of the headers or footers to production number
B. Use a Mixed Mode production, list Excel files as native, all other files as image format, and set one of the headers or footers to production number
C. use a Mixed Mode production, for imaging unmark the Excel file type, verify all other types are marked and set one of the headers or footers to production number
D. use a native production, for imaging select Excel files types, and set one of the headers or footers to production number
Answer: B

NEW QUESTION: 3
Identify whether the scenarios below are examples of tax evasion or tax avoidance, by placing either tax evasion of tax avoidance against each one.

Answer:
Explanation: