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NEW QUESTION: 1
Refer to the exhibit. You are setting up a service profile to iSCSI boot using a Cisco UCS VIC
1240. The service profile returns a configuration error when you attempt to associate it.
What is the problem, based on the exhibit?

A. iSCSI boot will not work with the default VLAN.
B. The iSCSI adapter policy is not set.
C. The MAC address assignment is invalid.
D. The default VLAN should not be set as native on the overlay vNIC.
Answer: C

NEW QUESTION: 2
Your company has a single-domain Active Directory Domain Services (AD DS) forest. You will use Microsoft Deployment Toolkit (MDT) 2010 to deploy Windows 7 on all client computers. A WSUS server is used for deploying security updates.
You need to ensure that security updates are applied to all client computers immediately after the deployment.
What should you do for all client computers?
A. Use Group Policy to configure the Specify intranet Microsoft update service location setting.
B. Run the ZTIWindowsUpdate.wsf script in a task sequence.
C. Set the Windows Update service Startup Type to Automatic.
D. Assign the Domain Users group the Log on as a service right.
Answer: B

NEW QUESTION: 3
You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features.
You use 75 percent of the data points for training and 25 percent for testing. You are using the scikit-learn machine learning library in Python. You use X to denote the feature set and Y to denote class labels.
You create the following Python data frames:
You need to apply the Principal Component Analysis (PCA) method to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: PCA(n_components = 10)
Need to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
Example:
from sklearn.decomposition import PCA
pca = PCA(n_components=2) ;2 dimensions
principalComponents = pca.fit_transform(x)
Box 2: pca
fit_transform(X[, y])fits the model with X and apply the dimensionality reduction on X.
Box 3: transform(x_test)
transform(X) applies dimensionality reduction to X.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html

NEW QUESTION: 4
Cisco IOSリリース15MTイメージがインストールされ、NetFlowバージョン9が有効になっているCiscoルータでNetFlowデータエクスポートを設定する必要があります。 2つの設定手順を実行しますか？ （2つ選択）
A. ip flow-exportコマンドを使用してNetFlowコレクターを定義します
B. インターフェースの1つでNetFlowを有効にします
C. NetFlowエクスポーターをインターフェイスレベルで構成します
D. 対象トラフィックに一致するようにクラスマップを構成します
E. 新しく作成されたクラスマップをグローバルポリシーに適用します
Answer: A,B
Explanation:
Explanation
https://www.cisco.com/c/en/us/td/docs/ios-xml/ios/netflow/configuration/15-mt/nf-15-mt-book/get-start-cfgnflowhtml