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NEW QUESTION: 1
Which security model uses an access control triple and also require separation of duty?
A. Bell-LaPadula
B. DAC
C. Clark-Wilson
D. Lattice
Answer: C
Explanation:
The following answers are incorrect:
DAC
Bell-LaPadula
Lattice
The following reference(s) were/was used to create this question:
Separation of duty is necessarily determined by conditions external to the computer system.
The Clark-Wilson scheme includes as a requirement maintenance of separation of duty as
expressed in the access control triples.
Enforcement is on a per-user basis, using the user ID from the access control triple.

NEW QUESTION: 2
You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model.
You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module.
Which two hyperparameters should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Number of hidden nodes
B. Learning Rate
C. Number of learning iterations
D. Hidden layer specification
E. The type of the normalizer
Answer: C,D
Explanation:
D: For Number of learning iterations, specify the maximum number of times the algorithm should process the training cases.
E: For Hidden layer specification, select the type of network architecture to create.
Between the input and output layers you can insert multiple hidden layers. Most predictive tasks can be accomplished easily with only one or a few hidden layers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

NEW QUESTION: 3

A. Option F
B. Option A
C. Option C
D. Option D
E. Option B
F. Option E
Answer: B,D,F