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NEW QUESTION: 1
You have a hybrid deployment of Azure Active Directory (Azure AD) that contains the users shown in the following table.
You need to modify the JobTitle and UsageLocation attributes for the users.
For which users can you modify the- attributes from Azure AD? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation
Box 1: User1 and User3 only
You must use Windows Server Active Directory to update the identity, contact info, or job info for users whose source of authority is Windows Server Active Directory.
Box 2: User1, User2, and User3
Reference:
https://docs.microsoft.com/en-us/azure/active-directory/fundamentals/active-directory-users-profile-azure-portal
NEW QUESTION: 2
Refer to the exhibit.
What CLI command generated the output?
A. workqueuestatus
B. tophosts
C. hoststatus
D. smtproutes
Answer: B
NEW QUESTION: 3
150を超える機能を含むデータセットがあります。 データセットを使用して、サポートベクターマシン（SVM）バイナリ分類器をトレーニングします。
Azure Machine Learning StudioのPermutation Feature Importanceモジュールを使用して、データセットの一連の機能重要度スコアを計算する必要があります。
どの順序でアクションを実行する必要がありますか？ 回答するには、すべてのアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
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-mac
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importan