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NEW QUESTION: 1





A. Set-AdSite1ink Site1inkl -ExchangeCost 25
B. Set-AdSite New York' -Hubsiteenabled Sfalse
C. Set-AdSite1ink SiteUnkl -ExchangeCost 15
D. Set-AdSite Washington' -HubSiteEnabled $false
Answer: C

NEW QUESTION: 2




What would be the effect of Issuing the command ip access-group 115 in on the s0/0/1 interface?
- No host could connect to RouterC through s0/0/1.
A. Telnet and ping would work but routing updates would fail.
B. Only traffic from the 10.4.4.0 network would pass through the interface.
C. FTP, FTP-DATA, echo, and www would work but telnet would fail.
Answer: A
Explanation:
Topic 8, WAN Technologies

NEW QUESTION: 3
Which process is responsible for the availability, confidentiality and integrity of data?
A. Information security management
B. Change management
C. Service asset and configuration management
D. Service catalogue management
Answer: A
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
You have a model with a large difference between the training and validation error values.
You must create a new model and perform cross-validation.
You need to identify a parameter set for the new model using Azure Machine Learning Studio.
Which module you should use for each step? To answer, drag the appropriate modules to the correct steps. Each module may be used once or more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Split data
Box 2: Partition and Sample
Box 3: Two-Class Boosted Decision Tree
Box 4: Tune Model Hyperparameters
Integrated train and tune: You configure a set of parameters to use, and then let the module iterate over multiple combinations, measuring accuracy until it finds a "best" model. With most learner modules, you can choose which parameters should be changed during the training process, and which should remain fixed.
We recommend that you use Cross-Validate Model to establish the goodness of the model given the specified parameters. Use Tune Model Hyperparameters to identify the optimal parameters.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample