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NEW QUESTION: 1
From which AEM Web Console should a developer access and download full AEM Log Files?
A. Web Console -> System Information
B. OSGI -> Sing Log Service
C. Status -> Log files
D. AEM -> Log files
Answer: B

NEW QUESTION: 2
モジュールを構成する場合、[アプリケーションメニューの役割の構成を上書きする]オプションは何をしますか？
A. セルフサービスユーザーは、役割がなくてもモジュールにアクセスできます
B. アプリケーションメニューにアクセスできるユーザーは、モジュールの役割がなくてもモジュールを表示できます
C. モジュールの役割を持っているが、アプリケーションメニューにアクセスできないユーザーはモジュールにアクセスします
D. アクセス制御が通常アクセスを妨げる場合でも、管理者はモジュールへのアクセスを許可されます
Answer: B

NEW QUESTION: 3
Guillian-Barre' is not linked to which of the following statements?
A. Increased CSF protein levels
B. Infections often present.
C. Hypertension
D. Greater initial upper extremity deficits
Answer: D

NEW QUESTION: 4
You create a new Azure subscription. No resources are provisioned in the subscription.
You need to create an Azure Machine Learning workspace.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Navigate to Azure Machine Learning studio and create a workspace.
B. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
C. Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters.
D. Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
E. Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and -g parameters for the workspace name and resource group.
Answer: A,B,E
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