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NEW QUESTION: 1
DRAG DROP
Answer:
Explanation:
References:
https://azure.microsoft.com/en-gb/documentation/articles/active-directory-authentication-scenarios/
NEW QUESTION: 2
You are creating an experiment by using Azure Machine Learning Studio.
You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data.
You must prepare the data for analysis.
You need to select appropriate methods for producing the experiment.
Which three modules should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation
The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.
NEW QUESTION: 3
대규모 모 놀리 식 애플리케이션을 재 설계 할 때 권장되는 클라우드 아키텍처 설계 원칙은 무엇입니까? (2 개 선택)
A. 느슨한 결합을 구현하십시오.
B. 고정 서버를 사용합니다.
C. 수동 모니터링을 사용합니다.
D. 개별 구성 요소에 의존합니다.
E. 확장 성을 고려한 설계.
https://www.architech.ca/re-architect-applications/
Answer: A,E
NEW QUESTION: 4
아래 네트워크 설계에서 계약자에게 인터넷 및 인증 된 엔터프라이즈 서비스에 대한 액세스를 제공하는 WAP (무선 액세스 포인트)를 배포하는 가장 안전한 LAN (Local Area Network) 세그먼트는 어디에 있습니까?
Answer:
Explanation:
Explanation
LAN 4
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