What is the expected output of the following snippet?
A. 0
B. 1
C. 2
D. 3
Answer: C
Explanation:
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NEW QUESTION: 1
You have configured a Web filtering UTM policy?
Which action must be performed before the Web filtering UTM policy takes effect?
A. The UTM policy be configured as a routing next hop.
B. The UTM policy must be linked to a security policy
C. The UTM policy must be linked to an egress interface
D. The UTM policy must be linked to an ingress interface.
Answer: B
NEW QUESTION: 2
What is the expected output of the following snippet?
A. 0
B. 1
C. 2
D. 3
Answer: C
Explanation:
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
NEW QUESTION: 4
よくある質問（FAQ）ドキュメントからボットを作成するには、どのAIサービスを使用する必要がありますか？
A. 言語理解（LUIS）
B. スピーチ
C. QnAメーカー
D. テキスト分析
Answer: C