Download IBM Watson Application Developer V3.1.C1000-012.SelfTestEngine.2019-06-07.23q.vcex

Vendor: IBM
Exam Code: C1000-012
Exam Name: IBM Watson Application Developer V3.1
Date: Jun 07, 2019
File Size: 151 KB
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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?
  1. Upload training data to the Discovery service and use the Discovery API to query the results
  2. Use the Tone Analyzer service to retrieve the level of openness in the utterance
  3. Pass the utterance from the user to the Natural Language Understanding service Entities API
  4. 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?
  1. text and title information
  2. people, companies, organizations
  3. subject-action-object relations
  4. topic keywords
Correct answer: C
Question 3
Which statement is the best definition of intent in the context of a virtual assistant?
  1. Intent is the classification of the inputted question
  2. Intent is the specific class of object that is relevant to a user’ s purpose
  3. Intent is used to figure out if other IBM Watson AI services are required
  4. Intent is the answer to the inputted question
Correct answer: A
Question 4
What are two advantages gained by using IBM Cloud as the application platform for an application using Watson services? (Choose two.)
  1. IBM Cloud is built on proprietary APIs which provide competitive advantages
  2. The IBM Cloud application developer can choose among multiple release versions of the Cloud Foundry framework
  3. IBM Cloud promotes 12-factor methodology since IBM Cloud is deployed exclusively as a public cloud model
  4. IBM Cloud provides services for securely integrating on premises and off premises applications
  5. The developer avoids lock-in to proprietary technologies because IBM Cloud is built on open technologies
Correct answer: BD
Question 5
What combination of IBM Watson services would best implement the Agent Assist pattern?
  1. Speech to Text and Personality Insights
  2. Watson Assistant and Discovery
  3. Watson Assistant and Visual Recognition
  4. Natural Language Classifier and Visual Recognition
Correct answer: B
Question 6
Which statement best describes the supervised learning process in building a question answering system?
  1. The system ingests the corpus and is able to answer questions after ingestion
  2. A human supervisor monitors the progress of the learning, evaluates the answers, and incrementally improves the results
  3. The system learns by example from a set of questions and their respective answers
  4. 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 7
In the sentence below, which word or phrase is an example of a generic mention class? 
“Severs storms in this area usually occurs in late winter, but Tropical Storm Helga was an abnormally”
  1. Tropical Storm Helga
  2. late winter
  3. Helga
  4. storms
Correct answer: D
Explanation:
Reference: https://console.bluemix.net/docs/services/watson-knowledge-studio/typesystem.html#typesystem
Reference: https://console.bluemix.net/docs/services/watson-knowledge-studio/typesystem.html#typesystem
Question 8
The IBM Watson Visual Recognition service is designed to work best with which types of images?
  1. drawings
  2. x-rays
  3. graphics
  4. photos
Correct answer: C
Question 9
The IT helpdesk of a large enterprise routinely conducts surveys of its users. The survey allows the users to rate the performance of the helpdesk and to enter about 3-4 lines of comments in a free form text field. 
Which IBM Watson service should the IT helpdesk use to drive insights from the texts and to look for patterns among complains for improvements?
  1. Use Discovery to extract keywords and entities for common patterns across the comments plus gain insight into the sentiment expressed by each comment
  2. Natural Language Classifier to evaluate sentiments expressed in the comments
  3. Use Natural Language Classifier to look for concepts mentioned in the review
  4. Use Personality Insights to analyze traits of the users logging the comments
Correct answer: D
Question 10
In order to minimize the error, which method helps to find the derivative of the error with respect to each weight and subtracting this value form the weight value?
  1. Answer Propagation
  2. Back Propagation
  3. Cognitive Propagation
  4. Forward Propagation
Correct answer: B
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