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NEW QUESTION: 1

****Exhibit is missing****

A. Option C
B. Option A
C. Option B
D. Option D
Answer: A

NEW QUESTION: 2
How can you get a neural network to learn about relationships between categories in a categorical feature?
A. Create an embedding column
B. Create a hash bucket
C. Create a one-hot column
D. Create a multi-hot column
Answer: A
Explanation:
There are two problems with one-hot encoding. First, it has high dimensionality, meaning that instead of having just one value, like a continuous feature, it has many values, or dimensions. This makes computation more time-consuming, especially if a feature has a very large number of categories. The second problem is that it doesn't encode any relationships between the categories. They are completely independent from each other, so the network has no way of knowing which ones are similar to each other.
Both of these problems can be solved by representing a categorical feature with an embedding column. The idea is that each category has a smaller vector with, let's say, 5 values in it.
But unlike a one-hot vector, the values are not usually 0. The values are weights, similar to the weights that are used for basic features in a neural network. The difference is that each category has a set of weights (5 of them in this case).
You can think of each value in the embedding vector as a feature of the category. So, if two categories are very similar to each other, then their embedding vectors should be very similar too.
Reference: https://cloudacademy.com/google/introduction-to-google-cloud-machine-learning-engine-course/a-wide-and-deep-model.html

NEW QUESTION: 3
Which of the following are characteristics of Amazon VPC subnets? (Choose two.)
A. V Each subnet spans at least 2 Availability zones to provide a high-availability environment
B. Each subnet maps to a single Availability Zone
C. A CIDR block mask of /25 is the smallest range supported
D. By default, all subnets can route between each other, whether they are private or public
E. Instances in a private subnet can communicate with the internet only if they have an Elastic IP.
Answer: B,D
Explanation:
Explanation
"Each subnet must reside entirely within one Availability Zone and cannot span zones."
"Every subnet that you create is automatically associated with the main route table for the VPC."

NEW QUESTION: 4
Password management falls into which control category?
A. Technical
B. Detective
C. Preventive
D. Compensating
Answer: C
Explanation:
Password management is an example of preventive control. Proper passwords prevent unauthorized users from accessing a system.
There are literally hundreds of different access approaches, control methods, and technologies, both in the physical world and in the virtual electronic world. Each method addresses a different type of access control or a specific access need.
For example, access control solutions may incorporate identification and authentication mechanisms, filters, rules, rights, logging and monitoring, policy, and a plethora of other controls. However, despite the diversity of access control methods, all access control systems can be categorized into seven primary categories.
The seven main categories of access control are:
1.Directive: Controls designed to specify acceptable rules of behavior within an organization
2.Deterrent: Controls designed to discourage people from violating security directives
3.Preventive: Controls implemented to prevent a security incident or information breach
4.Compensating: Controls implemented to substitute for the loss of primary controls and mitigate risk down to an acceptable level
5.Detective: Controls designed to signal a warning when a security control has been breached
6.Corrective: Controls implemented to remedy circumstance, mitigate damage, or restore controls
7.Recovery: Controls implemented to restore conditions to normal after a security incident
Reference(s) used for this question:
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third
Edition ((ISC)2 Press) (Kindle Locations 1156-1176). Auerbach Publications. Kindle
Edition.