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NEW QUESTION: 1
A company needs to expand their dynamic pool by 5 TB. The current dynamic pool consists of sixty-three 3.8 TB SSD that are configured for RAID5 4+1.
What is the minimum number of drives needed for the pool expansion?
A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 2
Now, the switch MAC address table is empty by default configuration. The host A connected to the switch sends the first unicast data frame. What operation will the switch perform after receiving the data frame?
A. The switch records the source MAC address of the data frame and floods the data frame.
B. The switch will discard the data frame
C. The switch forwards the data frame out of an interface according to the destination MAC address of the data frame.
D. The switch caches the data frame and waits for the destination host to send the data frame and then forward it.
Answer: A

NEW QUESTION: 3
By design, which network is required to have IPv6 Multicast enabled in order to 5-et up a VxRail with version 4.7.100?
A. vMotion network
B. Private management network
C. vSAN network
D. Public management network
Answer: B

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