Questions and Answers: 166
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NEW QUESTION: 1
응용 프로그램의 가용성이 높지 않고 탑재 대상이 존재하는 가용성 영역 (AZ)을 사용할 수 없으므로 사내 구축 형 서버가 탑재 대상에 액세스 할 수 없습니다. 다음 중 권장 조치는 무엇입니까?
A. 응용 프로그램은 종료 로직을 구현하고 AZ에서 마운트 대상을 삭제해야 합니다.
B. 응용 프로그램은 삭제 논리를 구현하고 동일한 AZ의 다른 탑재 대상에 연결해야 합니다.
C. 응용 프로그램이 다시 시작 논리를 구현하고 다른 AZ의 탑재 대상에 연결해야 합니다.
D. 응용 프로그램은 검사 점 논리를 구현하고 탑재 대상을 다시 만들어야 합니다.
Answer: C
Explanation:
설명:
온 - 프레미스 데이터 센터와 Amazon VPC (Virtual Private Cloud) 사이에 지속적인 가용성이 있는지 확인하려면 두 개의 AWS Direct Connect 연결을 구성하는 것이 좋습니다. 응용 프로그램이 고 가용성이 아니고 탑재 대상이있는 AZ가 사용 불가능하므로 사내 구축 환경의 서버가 탑재 대상에 액세스 할 수없는 경우 응용 프로그램이 다시 시작 논리를 구현하고 다른 AZ의 탑재 대상에 연결해야합니다.
http://docs.aws.amazon.com/efs/latest/ug/performance.html#performance-onpremises
NEW QUESTION: 2
What needs to be activated as a prerequisite for using a product allocation check? Note: There are 2 correct answers to this question.
A. The availability check against product allocation for basic Available-to-Promise
B. The availability check against product allocation in the context of aATP
C. The availability check against product allocation in Sales and Distribution
D. The availability check against product allocation per client
Answer: B,D
NEW QUESTION: 3
Answer:
Explanation:
Explanation
To create this credit risk assessment solution, we follow these steps:
* Create a Machine Learning workspace
* Upload existing data
* Create an experiment
* Train and evaluate the models
* Deploy the web service
* Access the web service
From scenario:
Predictive Routing:
* An Azure solution must be used for prediction systems.
* Predictive analytics must be published as a web service and accessible by using the REST API.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-walkthrough-develop-predictive-solu