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NEW QUESTION: 1
The network administrator has been asked to give reasons for moving from ipv4 to ipv6. What are two valid reasons for adopting ipv6 over ipv4? (Choose two)
A. chanage of source address in the ipv6 header
B. no broadcast
C. nat
D. telnet access does not require a password
E. autoconfiguration
F. chanage of destination address in the ipv6 header
Answer: B,E
NEW QUESTION: 2
Der Unterschied zwischen Planung und Budgetierung ist wie folgt: Diese Aussage ist es nicht
richtig?
Bitte wählen Sie die richtige Antwort.
A. Nicht genutztes Budget kann im folgenden Geschäftsjahr vorgetragen werden, eine solche Funktion ist jedoch in der Planung nicht verfügbar.
B. Die Planungsänderung ist einfach, da die Budgetierung ein verbindlicher Wert ist und für jede Änderung eine neue Position erstellt wird.
C. Planung ist kostenorientiert, während Budgetierung fondsorientiert ist.
D. Die Planung basiert auf genehmigten Mitteln, während die Budgetierung auf den angeforderten Mitteln basiert.
Answer: D
NEW QUESTION: 3
What are the two Cisco recommended methods for reducing the size of the TCAM on a Layer 3 switch?
(Choose two.)
A. Optimize the SDM template.
B. Use summary routes
C. Filter unwanted routes.
D. Adjust the output queue buffers.
E. Use the ip route profile command.
Answer: B,C
NEW QUESTION: 4
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
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