IBM C1000-012 IBM Watson Application Developer V3.1 Online Training
IBM C1000-012 Online Training
The questions for C1000-012 were last updated at Nov 19,2024.
- Exam Code: C1000-012
- Exam Name: IBM Watson Application Developer V3.1
- Certification Provider: IBM
- Latest update: Nov 19,2024
What Watson solution can answer common support questions typically handled by a live agent?
- A . Tone Analyzer
- B . Watson Assistant
- C . Natural Language Understanding
- D . Language Translator
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?
- A . Upload training data to the Discovery service and use the Discovery API to query the results
- B . Use the Tone Analyzer service to retrieve the level of openness in the utterance
- C . Pass the utterance from the user to the Natural Language Understanding service Entities API
- D . Pass the utterance from the user through Speech to Text then apply Tradeoff Analytics
What are examples of the information the IBM Watson Natural Language Understanding service extract from html, or web-based content when it analyzes entities?
- A . text and title information
- B . people, companies, organizations
- C . subject-action-object relations
- D . topic keywords
Built into the IBM Watson Discovery service is the Watson Discovery News data set.
How is this collection different from other collections?
- A . The Watson Discovery News configuration and documents cannot be adjusted
- B . Documents from the Watson Discovery News collection can be ingested as sample documents to better configure a private collection
- C . The Watson Discovery News collection is specific to the company news domain, whereas a collection is specific to a domain.
- D . The Watson Discovery News data set and a private collection can be queried with a single query call
Which IBM Watson service is pre-trained and does not allow for any customization?
- A . Tone Analyzer
- B . Discovery
- C . Natural Language Classifier
- D . Speech to Text
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
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
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?
- 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
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
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
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