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NEW QUESTION: 1
Which authorization method is the Cisco best practice to allow endpoints access to the
Apple App store or Google Play store with Cisco WLC software version 7.6 or newer?
A. dACL
B. DNS ACL defined in Cisco ISE
C. DNS ACL
D. redirect ACL
Answer: C

NEW QUESTION: 2
Refer to the exhibit.

X Enterprises runs a private nursing home for the elderly. The company are concerned that bed occupancy rates have been falling over the past 2 years with a consequential effect on profit. They have drawn up a budget for next year as follows:
The nursing home currently charges $90 per patient day.
The nursing home operates at 7,500 patient days per year. In an effort to increase occupancy rates the company are proposing to reduce the current price by 10% and increase spending on advertising by $10,000 each year. What effect will this have on the margin of safety?
A. Increase the margin of safety by 1,178 days
B. Increase the margin of safety by 622 days
C. Reduce the margin of safety by 1,178 days
D. Reduce the margin of safety by 622 days
Answer: C

NEW QUESTION: 3
Through which protocols can integration of communication manager messaging application
6.0 with communication manager occur? (Choose two)
A. SSP protocol
B. SIP protocol
C. RTP protocol
D. H.323/Q. Sig protocol
Answer: B,D

NEW QUESTION: 4
Which of the following are examples of hyperparameters? (Select 2 answers.)
A. Number of nodes in each hidden layer
B. Biases
C. Number of hidden layers
D. Weights
Answer: A,C
Explanation:
If model parameters are variables that get adjusted by training with existing data, your hyperparameters are the variables about the training process itself. For example, part of setting up a deep neural network is deciding how many "hidden" layers of nodes to use between the input layer and the output layer, as well as how many nodes each layer should use. These variables are not directly related to the training data at all. They are configuration variables. Another difference is that parameters change during a training job, while the hyperparameters are usually constant during a job.
Weights and biases are variables that get adjusted during the training process, so they are not hyperparameters.
Reference: https://cloud.google.com/ml-engine/docs/hyperparameter-tuning-overview