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NEW QUESTION: 1
회사에는 본사와 지점이 있습니다. 두 사무실은 WAN 링크를 사용하여 서로 연결됩니다.
네트워크에 contoso.com이라는 Active Directory 포리스트가 있습니다. 포리스트에는 DC1이라는 도메인 컨트롤러가 있습니다. 모든 도메인 컨트롤러는 본사에 있습니다.
지점에 RODC1이라는 RODC (읽기 전용 도메인 컨트롤러)를 설치합니다.
User1이라는 새 사용자의 사용자 계정을 만듭니다. 허용 된 RODC 암호 복제 그룹에 User1을 추가합니다. User1은 월요일에 작업을 시작합니다.
월요일에 유지 관리를 위해 WAN 링크가 중단된다는 알림을받습니다.
월요일에 User1이 지점 사이트에 로그온 할 수 있는지 확인해야 합니다.
어떤 명령을 실행해야 합니까? 답변하려면 답변 영역에서 적절한 옵션을 선택하십시오.
Answer:
Explanation:
설명
참고 문헌 :
https://technet.microsoft.com/en-us/library/cc742095(v=ws.11).aspx
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You train a classification model by using a logistic regression algorithm.
You must be able to explain the model's predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions.
You need to create an explainer that you can use to retrieve the required global and local feature importance values.
Solution: Create a TabularExplainer.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Instead use Permutation Feature Importance Explainer (PFI).
Note 1:
Note 2: Permutation Feature Importance Explainer (PFI): Permutation Feature Importance is a technique used to explain classification and regression models. At a high level, the way it works is by randomly shuffling data one feature at a time for the entire dataset and calculating how much the performance metric of interest changes. The larger the change, the more important that feature is. PFI can explain the overall behavior of any underlying model but does not explain individual predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability
NEW QUESTION: 3
Which AWS Cloud best practice uses the elasticity and agility of cloud computing?
A. Dynamically and predictively scale to meet usage demands.
B. Build the application and infrastructure in a data center that grants physical access.
C. Provision capacity based on past usage and theoretical peaks.
D. Break apart the application into loosely coupled components.
Answer: A
NEW QUESTION: 4
Answer:
Explanation:
Explanation
Box 1: contosostorage
The name of account
Box 2: file.core.windows.net
Box 3: data
The name of the file share is data.
Example:
References: https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-use-files-windows