Download IBM Watson Application Developer V3.1.C1000-012.NewDumps.2020-06-16.53q.vcex

Vendor: IBM
Exam Code: C1000-012
Exam Name: IBM Watson Application Developer V3.1
Date: Jun 16, 2020
File Size: 158 KB
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Demo Questions

Question 1
What Watson solution can answer common support questions typically handled by a live agent?
  1. Tone Analyzer
  2. Watson Assistant
  3. Natural Language Understanding 
  4. Language Translator
Correct answer: C
Question 2
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
Explanation:
Question 3
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 4
Built into the IBM Watson Discovery service is the Watson Discovery News data set. How is this collection different from other collections?
  1. The Watson Discovery News configuration and documents cannot be adjusted
  2. Documents from the Watson Discovery News collection can be ingested as sample documents to better configure a private collection
  3. The Watson Discovery News collection is specific to the company news domain, whereas a collection is specific to a domain.
  4. The Watson Discovery News data set and a private collection can be queried with a single query call
Correct answer: B
Question 5
Which IBM Watson service is pre-trained and does not allow for any customization?
  1. Tone Analyzer
  2. Discovery
  3. Natural Language Classifier
  4. Speech to Text 
Correct answer: C
Question 6
What is the purpose of the IBM Watson Natural Language Classifier service?
  1. Interpret the intent behind text and returns a corresponding classification with associated confidence levels
  2. Reduce the number of random utterances consideration, by obtaining a set of uncorrelated utterances
  3. Translate a natural language sentence into a syntactic representation such as a parse tree
  4. 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 7
What connectivity protocols are supported by IBM Watson services?
  1. REST style using either XML/HTTP and JSON/HTTP
  2. JSON/HTTP or JSON/RTP
  3. REST style using JSON/HTTP only
  4. SOAP/HTTP and JSON/HTTP
Correct answer: A
Explanation:
Question 8
Which type of learning is K-means clustering?
  1. automatic learning
  2. supervised learning
  3. unsupervised learning
  4. 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 9
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 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?
  1. Discovery
  2. Speech to Text
  3. Text to Speech
  4. Tone Analyzer 
  5. Personality Insights
Correct answer: AB
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