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NEW QUESTION: 1
あなたは、C＃を使用してアプリケーションを開発しています。 開発中の開発チームに公開鍵を提供しています。
あなたは、それが造られるとき、アセンブリが完全には署名されないことを示している必要があります。
あなたは、どの二つアセンブリ属性をソースコードに含めるべきですか？（各正解は、ソリューションの一部を紹介します。2つを選択してください。）
A. ObfuscateAssemblyAttribute
B. AssemblyDelaySignAttribute
C. AssemblyKeyNameAttribute
D. AssemblyKeyFileAttribute
Answer: B,D
Explanation:
* AssemblyDelaySignAttribute
Specifies that the assembly is not fully signed when created.
* The following code example shows the use of the AssemblyDelaySignAttribute attribute with the AssemblyKeyFileAttribute.
using System;
using System.Reflection;
[assembly:AssemblyKeyFileAttribute("TestPublicKey.snk")]
[assembly:AssemblyDelaySignAttribute(true)]
namespace DelaySign
{
public class Test { }
}

NEW QUESTION: 2
A Citrix Engineer created an Automated Action to determine when a device has been rooted or jailbroken and needs to customize the text of the email that users receive when NOT in compliance.
How could the engineer customize the text of the email that users receive?
A. Change the Notification Server settings.
B. Modify the text in the Automated Action Policy.
C. Add text to an Ad Hoc notification.
D. Edit the corresponding Notification Template.
Answer: D

NEW QUESTION: 3
You have a dataset that contains over 150 features. You use the dataset to train a Support Vector Machine (SVM) binary classifier.
You need to use the Permutation Feature Importance module in Azure Machine Learning Studio to compute a set of feature importance scores for the dataset.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: Add a Two-Class Support Vector Machine module to initialize the SVM classifier.
Step 2: Add a dataset to the experiment
Step 3: Add a Split Data module to create training and test dataset.
To generate a set of feature scores requires that you have an already trained model, as well as a test dataset.
Step 4: Add a Permutation Feature Importance module and connect to the trained model and test dataset.
Step 5: Set the Metric for measuring performance property to Classification - Accuracy and then run the experiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-support-vector-machine
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importance

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