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NEW QUESTION: 1
Which service corresponds with the following discovery question: "What is your back up plan to help you
control and predict costs over the life of your equipment?"
A. Travel Services
B. Accidental Damage Protection
C. Maintenance Kit Replacement for printers
D. HP Care Pack Services (next business day or same day
Answer: C
NEW QUESTION: 2
A. Option D
B. Option B
C. Option C
D. Option A
Answer: D
NEW QUESTION: 3
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions
will not appear in the review screen.
You have a server named Server1 that runs Windows Server 2016.
You plan to use Windows Server Backup to back up all of the data on Server1. You create a new volume on
Server1.
You need to ensure that the new volume can be used as a backup target. The backup target must support
incremental backups.
Solution: You mount the volume to C:\Backup, and you format the volume by using NTFS.
Does this meet the goal?
A. No
B. Yes
Answer: B
NEW QUESTION: 4
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.
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