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Which statement best describes the unsupervised learning process when performing clustering on a large data set?
A. The system understands the significance of the data points and a cognitive sub-process clusters the data, removing the need for a human supervisor.
B. A neural network is deployed in unsupervised mode to determine to which cluster a data point belongs.
C. Examples of data points and their associated cluster are fed into the system allowing it to learn and generalize for the rest of the data set.
D. Data points are compared at random and the differences between their features are used to determine whether they belong in the same cluster or not.
Answer: D

In the context of a IBM Watson cognitive virtual agent, what type of input data can the IBM Watson Conversation service consume?
A. images
B. speech
C. string of text
D. audio
Answer: A

Which IBM Watson service is pre-trained and does not allow for any customization?
A. Natural Language Understanding
B. Speech to Text
C. Discovery
D. Tone Analyzer
Answer: A

A system with a set of classifiers is trained to recognize eight different company logos from images. It is 78% accurate.
Without further information, which statement is true?
A. The system has 78% precision and recall.
B. The system has a precision of 78% and a recall of 22%.
C. The system is equally reliable for classifying any one of the eight logo types 78% of the time.
D. The accuracy of the system for any one class cannot be determined.
Answer: C

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