IBM C1000-012 - IBM Watson Application Developer V3.1 Exam
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Total 99 questions
Question #6 (Topic: Topic 1)
When building a dialog within the IBM Watson Assistant service, what does the dollar sign $ represent?
A. Shorthand syntax for accessing the dialog context.variable_name.
B. The $ syntax is meaningful when used with the asterisk * for building and utilizing JSON within Watson dialog response
C. Describes replacement of context by user_response within the Watson Assistant dialog
D. Replaces a word or set of words in the position the $ occupies
Answer: C
Question #7 (Topic: Topic 1)
What is the purpose of the IBM Watson Natural Language Classifier service?
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
Answer: A
Question #8 (Topic: Topic 1)
A classifier for identifying the ACME corporation logo in images posted on social media runs on 100 images. There are 75 true positives, 3 false positives and 1
false negative and 21 true negatives. Which statement is true?
false negative and 21 true negatives. Which statement is true?
A. The classifier has a low precision and a high recall
B. The classifier has a low precision and a low recall
C. The classifier has a high precision and a high recall
D. The classifier has a high precision and a low recall
Answer: C
Question #9 (Topic: Topic 1)
Which statement is the best definition of intent in the context of a virtual assistant?
A. Intent is the classification of the inputted question
B. Intent is the specific class of object that is relevant to a user’ s purpose
C. Intent is used to figure out if other IBM Watson AI services are required
D. Intent is the answer to the inputted question
Answer: A
Question #10 (Topic: Topic 1)
How is training data set constructed from user questions for the Natural Language Classifier?
A. Use an XML formatted data set
B. Upload documents with similar questions
C. Group the questions and label as classes
D. Create and intents index in a spreadsheet
Answer: C
