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NEW QUESTION: 1
DRAG DROP
You are developing an ASP.NET MVC application in Visual Studio. The application supports multiple cultures.
To set the culture, the application must use the AcceptLanguage header field value sent by the client browser.
You need to ensure that the application can set the culture.
You have the following markup in the web.config file:

Which markup segments should you include in Target 1, Target 2 and Target 3 to complete markup? To answer, drag the appropriate markup segments to the correct targets. Each markup segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Explanation:
Target1: globalization
Target2: enableClientBasedCulture
Target3: uiCulture
When the EnableClientBasedCulture property is enabled, the Culture and UICulture properties are based on the AcceptLanguage header field value that is sent by the client browser. If the AcceptLanguage header value cannot be mapped to a specific culture, the Culture and UICulture values are used. The default value is false.
The following combination of attributes is used in the globalization section: culture="auto", uiCulture="auto", enableClientBasedCulture="true", e.g.:
<globalization uiCulture="auto" culture="auto" enableClientBasedCulture="true"> Reference: http://stackoverflow.com/questions/8878856/does-the-enableclientbasedculture-attribute-in- web-config-work-at-all

NEW QUESTION: 2
What configuration allows AnyConnect to automatically establish a VPN session when a user logs in to the computer?
A. transparent mode
B. proxy
C. always-on
D. Trusted Network Detection
Answer: C

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
Which networking parameter can be configured during site setup wizard?
A. Virtual IP address
B. Default gateway
C. DNS server
D. MTU size
Answer: A