File Info
| Exam | IBM Watson Application Developer V3.1 |
| Number | C1000-012 |
| File Name | IBM.C1000-012.SelfTestEngine.2019-06-07.23q.tqb |
| Size | 214 KB |
| Posted | Jun 07, 2019 |
| Download | IBM.C1000-012.SelfTestEngine.2019-06-07.23q.tqb |
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Demo Questions
Question 1
An AI solution is implemented to detect what the user wants to do. The user mentions that he wants to buy a ski jacket for an upcoming vacation in Colorado.
How can the entities be derived from the conversation using IBM Watson services?
- Upload training data to the Discovery service and use the Discovery API to query the results
- Use the Tone Analyzer service to retrieve the level of openness in the utterance
- Pass the utterance from the user to the Natural Language Understanding service Entities API
- Pass the utterance from the user through Speech to Text then apply Tradeoff Analytics
Correct answer: C
Question 2
What are examples of the information the IBM Watson Natural Language Understanding service extract from html, or web-based content when it analyzes entities?
- text and title information
- people, companies, organizations
- subject-action-object relations
- topic keywords
Correct answer: C
Question 3
Which statement is the best definition of intent in the context of a virtual assistant?
- Intent is the classification of the inputted question
- Intent is the specific class of object that is relevant to a user’ s purpose
- Intent is used to figure out if other IBM Watson AI services are required
- Intent is the answer to the inputted question
Correct answer: A
