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NEW QUESTION: 1
An administrator decides to use the Amazon Machine Learning service to classify social media posts that mention your company into two categories: posts that require a response and posts that do not. The training dataset of 10,000 posts contains the details of each post, including the timestamp, author, and full text of the post. You are missing the target labels that are required for training.
Which two options will create valid target label data?
A. Using the a priori probability distribution of the two classes, use Monte-Carlo simulation to generate the labels.
B. Use the sentiment analysis NLP library to determine whether a post requires a response.
C. Ask the social media handling team to review each post and provide the label.
D. Use the Amazon Mechanical Turk web service to publish Human Intelligence Tasks that ask Turk workers to label the posts.
Answer: C,D
Explanation:
You need accurate data to train the service and get accurate results from future data. The options described in B and D would end up training an ML model using the output from a different machine learning model and therefore would significantly increase the possible error rate. It is extremely important to have a very low error rate (if any!) in your training set, and therefore human-validated or assured labels are essential.
It is essential when writing mobile applications that you consider the security of both how the application

NEW QUESTION: 2

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

NEW QUESTION: 3
In which four areas does Cisco Smart Net Total Care provide support? (Choose four.)
A. service coverage management
B. product lifecycle management
C. customer service management
D. technical services and incident management
E. security and product alerts
F. customer opportunity development
G. sales support management
Answer: A,B,D,E