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NEW QUESTION: 1
A customer's design includes a 40GB uplink to their data center network.
Which ports on the HPE Virtual Connect FlexFabric-20/40 F8 Module should the integrator use to connect the uplinks?
A. ports X7 and X8
B. ports X5 and X6
C. ports Q1 through Q4
D. ports X1 through X4
Answer: C
NEW QUESTION: 2
Which statement best describes HP One View Smart Search?
A. It captures best practices,
B. It visualizes relationships between devices and their connectivity.
C. It provides capacity and health information at your fingertips.
D. It is built into every task so you can instantly find what you want.
Answer: D
Explanation:
Reference: http://www8.hp.com/us/en/hp-news/pressrelease.html?id=1491630#.U8rGH4CSxUN (search for smart search)
NEW QUESTION: 3
You deploy a model in Azure Container Instance.
You must use the Azure Machine Learning SDK to call the model API.
You need to invoke the deployed model using native SDK classes and methods.
How should you complete the command? To answer, select the appropriate options in the answer areas.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: from azureml.core.webservice import Webservice
The following code shows how to use the SDK to update the model, environment, and entry script for a web service to Azure Container Instances:
from azureml.core import Environment
from azureml.core.webservice import Webservice
from azureml.core.model import Model, InferenceConfig
Box 2: predictions = service.run(input_json)
Example: The following code demonstrates sending data to the service:
import json
test_sample = json.dumps({'data': [
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
]})
test_sample = bytes(test_sample, encoding='utf8')
prediction = service.run(input_data=test_sample)
print(prediction)
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/how-to-deploy-azure-container-instance
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-deployment