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NEW QUESTION: 1
Which of the following is an example of single sign-on?
A. A web access control infrastructure performs authentication and passes attributes in a HTTP header to multiple applications.
B. An administrator manages multiple platforms with the same username and hardware token.
The same username and token is used across all the platforms.
C. A password is synchronized between multiple platforms and the user is required to authenticate with the same password across each platform.
D. Multiple applications have been integrated with a centralized LDAP directory for authentication and authorization.
A user has to authenticate each time the user accesses an application.
Answer: A

NEW QUESTION: 2
SSL VPN file sharing applications in use need to enter a user name,password, and domain information,in order not to enter a user name and password, you can set the permissions on the file sharing server.
A. True
B. False
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.get method with name, subscription_id, and resource_group parameters.
B. Navigate to Azure Machine Learning studio and create a workspace.
C. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
D. 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.
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: B,C,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

NEW QUESTION: 4
In the calculation of WACC, which of the following should be ignored?
A. long-term debt.
B. current liabilities.
C. none of these answers.
D. preferred equity.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Short-term debt is not a part of the capital structure. The capital budgeting process allocates resources to long-term asset investments and as such is financed by liabilities/capital of similar maturity. Hence, short- term/current liabilities do not enter into WACC calculations.