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NEW QUESTION: 1
Which of the following are characteristics of Amazon VPC subnets? (Choose two.)
A. V Each subnet spans at least 2 Availability zones to provide a high-availability environment
B. Instances in a private subnet can communicate with the internet only if they have an Elastic IP.
C. A CIDR block mask of /25 is the smallest range supported
D. By default, all subnets can route between each other, whether they are private or public
E. Each subnet maps to a single Availability Zone
Answer: D,E
Explanation:
Explanation/Reference:
"Each subnet must reside entirely within one Availability Zone and cannot span zones."
"Every subnet that you create is automatically associated with the main route table for the VPC."
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Subnets.html

NEW QUESTION: 2
You use Azure Machine Learning to train and register a model.
You must deploy the model into production as a real-time web service to an inference cluster named service-compute that the IT department has created in the Azure Machine Learning workspace.
Client applications consuming the deployed web service must be authenticated based on their Azure Active Directory service principal.
You need to write a script that uses the Azure Machine Learning SDK to deploy the model. The necessary modules have been imported.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: AksCompute
Example:
aks_target = AksCompute(ws,"myaks")
# If deploying to a cluster configured for dev/test, ensure that it was created with enough
# cores and memory to handle this deployment configuration. Note that memory is also used by
# things such as dependencies and AML components.
deployment_config = AksWebservice.deploy_configuration(cpu_cores = 1, memory_gb = 1) service = Model.deploy(ws, "myservice", [model], inference_config, deployment_config, aks_target) Box 2: AksWebservice Box 3: token_auth_enabled=Yes Whether or not token auth is enabled for the Webservice.
Note: A Service principal defined in Azure Active Directory (Azure AD) can act as a principal on which authentication and authorization policies can be enforced in Azure Databricks.
The Azure Active Directory Authentication Library (ADAL) can be used to programmatically get an Azure AD access token for a user.
Incorrect Answers:
auth_enabled (bool): Whether or not to enable key auth for this Webservice. Defaults to True.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service
https://docs.microsoft.com/en-us/azure/databricks/dev-tools/api/latest/aad/service-prin-aad-token

NEW QUESTION: 3
You migrate a Windows Server .NET web application to Azure Cloud Services.
You need enable trace logging for the application.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Update the application web.config file.
B. Update the service definition file.
C. Enable verbose monitoring.
D. Update the service configuration file.
E. Update the Azure diagnostics configuration.
Answer: B,E
Explanation:
A: Step 1 section:
"diagnostics monitor is imported into a role by specifying an Import element with a module Name of "Diagnostics" in the Imports section of the service definition file" B: Step 2 explain how to add the diagnostic file in the solution and step 3 how to configure it.
References:
https://msdn.microsoft.com/en-us/library/azure/Dn482131.aspx#BKMK_step5

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