File Info
| Exam | IBM Watson Application Developer V3.1 |
| Number | C1000-012 |
| File Name | IBM.C1000-012.PracticeTest.2019-06-20.28q.vcex |
| Size | 19 KB |
| Posted | Jun 20, 2019 |
| Download | IBM.C1000-012.PracticeTest.2019-06-20.28q.vcex |
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Demo Questions
Question 1
When building a dialog within the IBM Watson Assistant service, what does the dollar sign $ represent?
- Shorthand syntax for accessing the dialog context.variable_name.
- The $ syntax is meaningful when used with the asterisk * for building and utilizing JSON within Watson dialog response
- Describes replacement of context by user_response within the Watson Assistant dialog
- Replaces a word or set of words in the position the $ occupies
Correct answer: C
Explanation:
Reference: https://console.bluemix.net/docs/services/assistant/dialog-build.html#dialog-build Reference: https://console.bluemix.net/docs/services/assistant/dialog-build.html#dialog-build
Question 2
What is the purpose of the IBM Watson Natural Language Classifier service?
- Interpret the intent behind text and returns a corresponding classification with associated confidence levels
- Reduce the number of random utterances consideration, by obtaining a set of uncorrelated utterances
- Translate a natural language sentence into a syntactic representation such as a parse tree
- 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
Correct answer: A
Explanation:
IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications, interprets the intent behind text and returns a corresponding classification with associated confidence levels and the return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question. IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications, interprets the intent behind text and returns a corresponding classification with associated confidence levels and the return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question.
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
Question 4
How is training data set constructed from user questions for the Natural Language Classifier?
- Use an XML formatted data set
- Upload documents with similar questions
- Group the questions and label as classes
- Create and intents index in a spreadsheet
Correct answer: C
Question 5
What connectivity protocols are supported by IBM Watson services?
- REST style using either XML/HTTP and JSON/HTTP
- JSON/HTTP or JSON/RTP
- REST style using JSON/HTTP only
- SOAP/HTTP and JSON/HTTP
Correct answer: A
Question 6
Which type of learning is K-means clustering?
- automatic learning
- supervised learning
- unsupervised learning
- reinforcement learning
Correct answer: C
Explanation:
Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/spss-visualization/spss-viz-k-means-overview.html Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/spss-visualization/spss-viz-k-means-overview.html
Question 7
As a developer begins to construct a conversational agent using IBM Watson Assistant service, which activities would they start with?
- Gather representative questions
- Design the dialog flow
- Add new content based on user activity
- Deploy it on the local machine before deploying it live
Correct answer: B
Explanation:
Reference: https://developer.ibm.com/tutorials/cc-watson-chatbot-conversation-nlu/ Reference: https://developer.ibm.com/tutorials/cc-watson-chatbot-conversation-nlu/
Question 8
What combination of IBM Watson services would best implement the Agent Assist pattern?
- Speech to Text and Personality Insights
- Watson Assistant and Discovery
- Watson Assistant and Visual Recognition
- Natural Language Classifier and Visual Recognition
Correct answer: B
Question 9
Which statement best describes the supervised learning process in building a question answering system?
- The system ingests the corpus and is able to answer questions after ingestion
- A human supervisor monitors the progress of the learning, evaluates the answers, and incrementally improves the results
- The system learns by example from a set of questions and their respective answers
- The system ingests a corpus and asks a human supervisor for clarification in natural language when it encounters a subject it does not understand
Correct answer: A
Question 10
A researcher is looking for a system that can help analyze recorded presentation, extract major concepts and provide recommendations for related content.
Which two IBM Watson AI services on IBM Cloud can be combined to help achieve this task?
- Discovery
- Speech to Text
- Text to Speech
- Tone Analyzer
- Personality Insights
Correct answer: AB
