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NEW QUESTION: 1
What is stored in the Default Test folder using the default HP QuickTest Professional folder structure? (Select two.)
A. run-time Data Table
B. Action0 folder
C. Data folder
D. local Data Table
E. local Action folder
Answer: B,E

NEW QUESTION: 2
HOTSPOT


Answer:
Explanation:

References: https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits#app-service- limits

NEW QUESTION: 3
You have an Exchange Online tenant. You must identify mailboxes that are no longer in use.
You need to locate the inactive mailboxes.
Which Windows PowerShell command should you run?
A. Get-MailboxActivityReport-EndDate
B. Get-StaleMailboxReport-StartDate
C. Get-MailboxActivityReport-Expression
D. Get-MailboxActivityReport-Organization
Answer: B
Explanation:
Use the Get-StaleMailboxDetailReport cmdlet to view mailboxes that haven't
been accessed for at least 30 days.
The StartDate parameter specifies the start date of the date range.
Reference: Get-StaleMailboxDetailReport
https://technet.microsoft.com/en-us/library/jj200715(v=exchg.150).aspx

NEW QUESTION: 4
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 input of the Score Model modules to the output of the Evaluate Model module.
B. Connect the input of the Score Model modules to the output of the Train Model modules and the output Split Data modules.
C. Connect the output of the Score Model modules to the input of the Evaluate Model module.
D. Connect the output of the Score Model modules to the input of the Train Model modules and the input of the Split Data modules.
Answer: B,C
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