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NEW QUESTION: 1
どのvDiskの変更には、常にリバースイメージングの使用が必要ですか？
A. vDiskにインストールされたProvisioning Servicesターゲットデバイスソフトウェアのアップグレード。
B. vDiskのNICドライバーを更新します。
C. WindowsベースのvDiskに新しいサービスパックをインストールします。
D. vDiskに永続的なレジストリ変更を加えます。
Answer: B

NEW QUESTION: 2
HOTSPOT
You are the SharePoint Online administrator for Contoso, Ltd. You create a test site.
The specifications for the site are described in the following table:

You need to configure the specified site.
How should you complete the relevant Windows PowerShell command? To answer, select the appropriate Windows PowerShell segment from each list in the answer area.
Hot Area:

Answer:
Explanation:

Explanation/Reference:
Explanation:
Set-SPOSite sets or updates one or more properties' values for a site collection.
Example: Example 2 updates the settings of site collection https://contoso.sharepoint.com/sites/site1. The storage quota is updated to 15000 megabytes.
Set-SPOSite -Identity https://contoso.sharepoint.com/sites/site1 -StorageQuota 15000 Parameters include: Title Specifies the title of the site collection.

NEW QUESTION: 3
Azure Machine Learning Studioで実験を作成します。 10,000行を含むトレーニングデータセットを追加します。最初の9,000行はクラス0（90パーセント）を表します。
残りの1,000行はクラス1（10パーセント）を表します。
トレーニングセットは、2つのクラス間の不均衡です。 5つのデータ行を使用して、クラス1のトレーニング例の数を4,000に増やす必要があります。 Synthetic Minority Oversampling Technique（SMOTE）モジュールを実験に追加します。
モジュールを構成する必要があります。
どの値を使用する必要がありますか？回答するには、回答領域のダイアログボックスで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

NEW QUESTION: 4
NSX管理者は、NSX ManagerとKVMトランスポートノード間の接続の問題を観察しています。
KVMトランスポートノードの問題のトラブルシューティングに使用できる2つのログファイルはどれですか？ （2つ選択してください。）
A. /var/log/nsx/syslog
B. /usr/vmware/log/syslog
C. /var/log/syslog
D. /var/log/vmware/nsx-syslog
E. /usr/vmware/nsx-syslog
Answer: C,D