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NEW QUESTION: 1
다음 표에 나와있는 리소스가 포함된 Azure 구독이 있습니다.

모든 가상 머신은 Windows Server 2016을 실행합니다.
VM1에서 다음 전시회와 같이 Folder1이라는 폴더를 백업합니다.

백업을 다른 가상 머신으로 복원하려고 합니다.
백업을 VM2로 복원해야 합니다.
먼저 무엇을 해야 합니까?
A. VM1에서 Windows Server 백업 기능을 설치하십시오.
B. VM2에서 Microsoft Azure 복구 서비스 에이전트를 설치하십시오.
C. VM1에서 Microsoft Azure 복구 서비스 에이전트를 설치하십시오.
D. VM2에서 Windows Server 백업 기능을 설치하십시오.
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-restore-windows-server

NEW QUESTION: 2
Which Cisco Cloud Web Security Connector feature allows access by all of an organization's users while applying Active Directory group policies?
A. a company authentication key
B. a PAC file
C. proxy forwarding
D. a group authentication key
E. a user authentication key
Answer: A

NEW QUESTION: 3
BIRD : MOLT::
A. fish : catch
B. rabbit: trap
C. hawk : prey
D. snake : slough
E. Bear: hibernate
Answer: D

NEW QUESTION: 4
新しいAzureサブスクリプションを作成します。サブスクリプションではリソースはプロビジョニングされません。
Azure MachineLearningワークスペースを作成する必要があります。
この目標を達成するための3つの可能な方法は何ですか？それぞれの正解は完全な解決策を提示します。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. Microsoft.MachineLearningServices /ワークスペースリソースとその依存関係を含むAzureリソース管理テンプレートを使用します。
B. Azure MachineLearning拡張機能を備えたAzureコマンドラインインターフェイス（CLI）を使用して、-nameおよび--locationパラメーターを指定してaz group create関数を呼び出し、次に-wおよび-を指定してazmlワークスペースcreate関数を呼び出します。 gワークスペース名とリソースグループのパラメーター。
C. Azure ML SDKライブラリを使用し、name、subscription_id、およびresource_groupパラメーターを指定してWorkspace.getメソッドを呼び出すPythonコードを実行します。
D. Azure Machine Learning Studioに移動し、ワークスペースを作成します。
E. Azure ML SDKライブラリを使用し、name、subscription_id、resource_group、locationパラメーターを指定してWorkspace.createメソッドを呼び出すPythonコードを実行します。
Answer: A,B,D
Explanation:
B: You can use an Azure Resource Manager template to create a workspace for Azure Machine Learning.
Example:
{"type": "Microsoft.MachineLearningServices/workspaces",
...
C: You can create a workspace for Azure Machine Learning with Azure CLI Install the machine learning extension.
Create a resource group: az group create --name <resource-group-name> --location <location> To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name> D: You can create and manage Azure Machine Learning workspaces in the Azure portal.
Sign in to the Azure portal by using the credentials for your Azure subscription.
In the upper-left corner of Azure portal, select + Create a resource.
Use the search bar to find Machine Learning.
Select Machine Learning.
In the Machine Learning pane, select Create to begin.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace