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NEW QUESTION: 1
A company has an Active Directory Domain Services (AD DS) domain with one physical domain controller.
All client computers run Windows 8. A client computer hosts a Windows 8 virtual machine (VM) test environment.
The VMs are connected to a private virtual switch that is configured as shown in the Virtual Switch Manager exhibit:

You have the following requirements: Configure the test environment to allow VMs to communicate with the host machine. Minimize impact on the host machine.
You need to meet the requirements. What should you do?
Exhibit:

A. Create a new virtual switch with an ExternalNetwork connection type.
B. Change the VLAN ID of the private virtual switch to Enable Virtual LAN identification.
C. Create a new virtual switch with an Internal Network connection type.
D. Create a new virtual switch with a Private Network [CP1] connection type.
Answer: C
Explanation:
Section: Configure Network Connectivity (15%) Explanation Explanation/Reference:
http://technet.microsoft.com/en-us/library/cc816585(v=ws.10).aspx

Private will not allow communication with the host machine.
External will allow communication with the host machine but also allow access to other machines on the
host machine's network which is not a requirement.

NEW QUESTION: 2
Azure Machine Learningデザイナーを使用して実験を構築しています。
データセットをトレーニングセットとテストセットに分割します。 Two-Class Boosted Decision Treeをアルゴリズムとして選択します。
モデルの曲線下面積（AUC）を決定する必要があります。
どの3つのモジュールを順番に使用する必要がありますか？回答するには、適切なモジュールをモジュールのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Step 1: Train Model
Two-Class Boosted Decision Tree
First, set up the boosted decision tree model.
1. Find the Two-Class Boosted Decision Tree module in the module palette and drag it onto the canvas.
2. Find the Train Model module, drag it onto the canvas, and then connect the output of the Two-Class Boosted Decision Tree module to the left input port of the Train Model module.
The Two-Class Boosted Decision Tree module initializes the generic model, and Train Model uses training data to train the model.
3. Connect the left output of the left Execute R Script module to the right input port of the Train Model module (in this tutorial you used the data coming from the left side of the Split Data module for training).
This portion of the experiment now looks something like this:

Step 2: Score Model
Score and evaluate the models
You use the testing data that was separated out by the Split Data module to score our trained models. You can then compare the results of the two models to see which generated better results.
Add the Score Model modules
1. Find the Score Model module and drag it onto the canvas.
2. Connect the Train Model module that's connected to the Two-Class Boosted Decision Tree module to the left input port of the Score Model module.
3. Connect the right Execute R Script module (our testing data) to the right input port of the Score Model module.

Step 3: Evaluate Model
To evaluate the two scoring results and compare them, you use an Evaluate Model module.
1. Find the Evaluate Model module and drag it onto the canvas.
2. Connect the output port of the Score Model module associated with the boosted decision tree model to the left input port of the Evaluate Model module.
3. Connect the other Score Model module to the right input port.

NEW QUESTION: 3
See the Exhibit: Which statement is true regarding the status of the incident?

A. The DBA is working on the incident and prefers that the incident be kept in the ADR
B. The incident is now in the does state and the ADR can select the incident to be purged
C. The incident has been newly created and is in the process of collecting diagnostic information
D. The data collection for the incident is complete and the incident can be packaged and sent to Oracle Support
Answer: D