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NEW QUESTION: 1
Which of the following statements about the Wide & Deep Learning model are true? (Select
2 answers.)
A. A good use for the wide and deep model is a small-scale linear regression problem.
B. A good use for the wide and deep model is a recommender system.
C. The wide model is used for generalization, while the deep model is used for memorization.
D. The wide model is used for memorization, while the deep model is used for generalization.
Answer: B,D
Explanation:
Can we teach computers to learn like humans do, by combining the power of memorization and generalization? It's not an easy question to answer, but by jointly training a wide linear model (for memorization) alongside a deep neural network (for generalization), one can combine the strengths of both to bring us one step closer. At Google, we call it Wide & Deep Learning. It's useful for generic large-scale regression and classification problems with sparse inputs (categorical features with a large number of possible feature values), such as recommender systems, search, and ranking problems.
Reference: https://research.googleblog.com/2016/06/wide-deep-learning-better-together- with.html

NEW QUESTION: 2

A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Explanation:
Explanation
AWS S3 supports client side or server side encryption to encrypt all data at rest. The server side encryption can either have the S3 supplied AES-256 encryption key or the user can send the key along with each API call to supply his own encryption key (SSE-C.. If the bucket is versioning-enabled, each object version uploaded by the user using the SSE-C feature can have its own encryption key. The user is responsible for tracking which encryption key was used for which object's version

NEW QUESTION: 3
Which four application layers comprise the Cisco Collaboration Architecture? (Choose four)
A. Cisco TelePresence
B. Customer Collaboration
C. Unified Access
D. Collaboration Applications
E. Unified Computing
F. Unified Communications
Answer: A,B,D,F

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