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NEW QUESTION: 1
You need to recommend CALs for all planned changes to the company's servers.
Which CALs should you recommend?
A. Microsoft Core CAL Suite and Microsoft SQL Server CAL
B. Microsoft Core CAL Suite and Microsoft Communications Server Standard CAL
C. Microsoft Enterprise CAL Suite and Microsoft Communications Server CAL
D. Microsoft Enterprise CAL Suite and Microsoft SQL Server CAL
Answer: D

NEW QUESTION: 2
Which cmdlet should you run to move the users to the planned Lync Server 2013 infrastructure?
A. Move-CsManagementServer
B. Move-ADObject
C. Move CsUser
D. Move-CsLegacyUser
Answer: C

NEW QUESTION: 3
You are building a classification experiment in Azure Machine Learning.
You need to ensure that you can use the Evaluate Model module in the experiment.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Connect the output of the Score Model modules to the input of the Train Model modules and the input of the Split Data modules.
B. Connect the output of the Score Model modules to the input of the Evaluate Model module.
C. Connect the input of the Score Model modules to the output of the Evaluate Model module.
D. Connect the input of the Score Model modules to the output of the Train Model modules and the output Split Data modules.
Answer: B,D
Explanation:
Explanation/Reference:
Explanation:
Use the training data.
To evaluate a model, you must connect a dataset that contains a set of input columns and scores. If no other data is available, you can use your original dataset.
1. Connect the Scored dataset output of the Score Model to the input of Evaluate Model.
2. Click Evaluate Model module, and select Run selected to generate the evaluation scores.
Use testing data
A common scenario in machine learning is to separate your original data set into training and testing datasets, using the Split module, or the Partition and Sample module.
1. Connect the Scored dataset output of the Score Model to the input of Evaluate Model.
2. Connect the output of the Split Data module that contains the testing data to the right-hand input of Evaluate Model.
3. Click Evaluate Model module, and select Run selected to generate the evaluation scores.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate- model