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NEW QUESTION: 1
Nedvedは、自国の銀行のITセキュリティマネージャーです。ある日。彼は、電子メールサーバーから不明なIPアドレスへの疑わしい接続の分析に基づいて、会社の電子メールサーバーにセキュリティ違反があることを発見しました。
インシデント対応チームに連絡する前に、ネドベドが最初に行う必要があることは何ですか?
A. バックアップメールサーバーへの接続を移行します
B. そのままにして、すぐにインシデント対応te3mに連絡してください
C. メールサーバーをネットワークから切断します
D. ファイアウォールから疑わしいIPアドレスへの接続をブロックします
Answer: C
NEW QUESTION: 2
Which three actions may be performed using the date command in Oracle Linux?
A. Synchronizing the system time from an ntp server
B. Displaying the time and date in the future
C. Setting the hardware clock from the current system time
D. Setting the system time from the hardware clock
E. Displaying the current time in an administrator-specified format
F. Displaying the time and date in the past
Answer: A,D,E
NEW QUESTION: 3
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