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NEW QUESTION: 1
In a centralized call-processing solution, there are five sites connected through an IP WAN. To optimize the utilization of the IP WAN, CAC needs to be implemented. How should CAC be implemented?
A. Use a gatekeeper to only control those locations that use H.323 gateways and a Cisco Unified Border Element to control those sites that use MGCP or SIP gateways
B. Use a gatekeeper to control allocated bandwidth properly
C. Use locations CAC with a single location
D. Use locations CAC with five locations in addition to Hub none
E. Use a gatekeeper and Cisco Unified Border Element to provide CAC to sites that use a combination of SIP and MGCP gateways
Answer: D

NEW QUESTION: 2
You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model.
You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements:
* The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.
* Batch size must be 16, 32 and 64.
* Keep probability must be a value selected from a uniform distribution between the range of 0.05 and
0.1.
You need to use the param_sampling method of the Python API for the Azure Machine Learning Service.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Example:
from azureml.train.hyperdrive import RandomParameterSampling
param_sampling = RandomParameterSampling( {
"learning_rate": normal(10, 3),
"keep_probability": uniform(0.05, 0.1),
"batch_size": choice(16, 32, 64)
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters

NEW QUESTION: 3
Scenario: A NetScaler Engineer has been tasked with reconfiguring an existing NetScaler deployment. The engineer is currently running a high-availability (HA) pair of NetScaler
10.5 appliances, but the Vice President of IT has requested a more efficient way of preserving and balancing network resources and throughput while having a single point of management for the NetScaler appliances.
What should the engineer configure to satisfy the requirements outlined by the Vice President of IT?
A. Leave HA enabled and increase bandwidth to both NetScaler nodes.
B. Switch from traditional HA to -INC mode HA.
C. Break the HA pair and configure three standalone NetScaler nodes.
D. Break the HA pair and configure clustering instead.
Answer: D

NEW QUESTION: 4
State whether the following statement is true or false. The NetCache appliances use RAID 4 with 1 parity disk and 1 or more disk for data purposes only.
A. False
B. True
Answer: B