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IBM Watson Application Developer V3.1 Questions and Answers

Question 1

What is the purpose of the IBM Watson Natural Language Classifier service?

Options:

A.

Interpret the intent behind text and returns a corresponding classification with associated confidence levels

B.

Reduce the number of random utterances consideration, by obtaining a set of uncorrelated utterances

C.

Translate a natural language sentence into a syntactic representation such as a parse tree

D.

Group a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups

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Question 2

When would this pattern be used?

Options:

A.

When there is a need to disambiguate the output of a dialog

B.

When there is a need to analyze or index content contained within an image

C.

When there is a need to analyze or index content contained within speech

D.

When there is a need to search through output from Natural Language Classifier

Question 3

What is the definition of false positive in the context of measuring accuracy of a machine learning system?

Options:

A.

The system returns a low confidence score for a correct answer.

B.

The system returns a high confidence score for an incorrect answer.

C.

The system returns only low confidence scores for all answers.

D.

The system returns only high confidence for all answers, both correct and incorrect.