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NEW QUESTION: 1
What are two characteristics of Frame Relay point-to-point subinterfaces? (Choose two.)
A. They are ideal for full-mesh topologies.
B. They require the use of NBMA options when using OSPF.
C. They require a unique subnet within a routing domain.
D. They create split-horizon issues.
E. They emulate leased lines.
Answer: C,E

NEW QUESTION: 2
HPE software-defined infrastructure solutions are designed to meet the needs of what types of customers?
A. Customers who want to gain stronger and more reliable IT capabilities by adding more hardware to their existing traditional data center.
B. Customers who need to keep the data and processes of each team within the organization separated into individual silos.
C. Customers who are looking to replace to replace their aging, complex infrastructure with a simplified anf flexible solution.
D. Customers who are interested in moving all their workloads to a public cloud hosting service to remove the on-premises component of their IT.
Answer: A

NEW QUESTION: 3
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. 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.
B. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
C. Navigate to Azure Machine Learning studio and create a workspace.
D. 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.
E. Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Answer: B,C,D
Explanation:
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