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NEW QUESTION: 1
Your network contains an Active Directory domain named adatum.com. You create a new Group Policy object (GPO) named GPO1.
You need to verify that GPO1 was replicated to all of the domain controllers.
Which tool should you use?
A. Group Policy Management
B. Active Directory Sites and Services
C. Gpresult
D. Gpupdate
Answer: A
Explanation:
Section: Volume C
Explanation/Reference:
Explanation:
In Windows Server 2012, the Group Policy Management Console (GPMC) was enhanced to provide a report for the overall health state of the Group Policy infrastructure for a domain, or to scope the health view to a single GPO.
Reference: Check Group Policy Infrastructure Status
http://technet.microsoft.com/en-us/library/jj134176.aspx

NEW QUESTION: 2

A. Option D
B. Option B
C. Option A
D. Option C
Answer: D

NEW QUESTION: 3
Nathan wishes to create the ability to refresh a specific area of his XPage. Starting with "Select the onclick event of the button", which steps would Nathan then take to select the panel to refresh?
A. Click the Add Action button and select the Execute Script action.
B. Select the Full Update option.
C. Select Partial Update and click on the Select Element Button.
D. Click the Add Action button and select the Modify Field action.
Answer: C

NEW QUESTION: 4
特徴抽出方法を選択する必要があります。
どの方法を使用する必要がありますか？
A. ケンドール相関
B. 相互情報
C. 順列機能の重要性
D. ムードの中央値検定
Answer: A
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules