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NEW QUESTION: 1
Refer to the exhibit. A network administrator is adding two new hosts to Switch A . Which three values could be used for the configuration of these hosts? (Choose three.)

A. host A IP address: 192.168.1.64
B. host A default gateway: 192.168.1.78
C. host B default gateway: 192.168.1.129
D. host B IP address: 192.168.1.190
E. host B IP address: 192.168.1.128
F. host A IP address: 192.168.1.79
Answer: B,D,F

NEW QUESTION: 2
An organization with 3 separate datacenters is looking to standardize their virtual templates.
What vSphere feature will allow them to centrally manage the distribution of the VM templates to all 3 datacenters?
A. Storage DRS
B. vMotion
C. Content Library
D. Long Distance vMotion
Answer: C
Explanation:
Explanation/Reference:
Reference: http://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/whitepaper/vsphere/ vmw-white-paper-vsphr-whats-new-6-0-pltfrm.pdf (page 13)

NEW QUESTION: 3
You deploy a real-time inference service for a trained model.
The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates.
You need to implement a monitoring solution for the deployed model using minimal administrative effort.
What should you do?
A. View the explanations for the registered model in Azure ML studio.
B. Enable Azure Application Insights for the service endpoint and view logged data in the Azure portal.
C. Create an ML Flow tracking URI that references the endpoint, and view the data logged by ML Flow.
D. View the log files generated by the experiment used to train the model.
Answer: B
Explanation:
Explanation
Configure logging with Azure Machine Learning studio
You can also enable Azure Application Insights from Azure Machine Learning studio. When you're ready to deploy your model as a web service, use the following steps to enable Application Insights:
1. Sign in to the studio at https://ml.azure.com.
2. Go to Models and select the model you want to deploy.
3. Select +Deploy.
4. Populate the Deploy model form.
5. Expand the Advanced menu.
6. Select Enable Application Insights diagnostics and data collection.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-enable-app-insights