Download IBM Watson Application Developer V3.1.C1000-012.TestKing.2019-07-27.59q.vcex

Vendor: IBM
Exam Code: C1000-012
Exam Name: IBM Watson Application Developer V3.1
Date: Jul 27, 2019
File Size: 181 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
Question 3
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 4
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 5
When building a dialog within the IBM Watson Assistant service, what does the dollar sign $ represent?
  1. Shorthand syntax for accessing the dialog context.variable_name.
  2. The $ syntax is meaningful when used with the asterisk * for building and utilizing JSON within Watson dialog response
  3. Describes replacement of context by user_response within the Watson Assistant dialog
  4. 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 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
How is training data set constructed from user questions for the Natural Language Classifier?
  1. Use an XML formatted data set
  2. Upload documents with similar questions
  3. Group the questions and label as classes
  4. Create and intents index in a spreadsheet
Correct answer: C
Question 8
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
Question 9
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 10
A journalist would like to analyze four short sentences captured and transcribed form verbal sound-bites from a political candidate. Is the IBM Watson Personality Insights service an appropriate technology to accomplish this goal?
  1. Yes, the Personality Insights services will provide details about the personality of this political candidate
  2. Yes, because the journalist will combine the Personality Insight with Speech to Test service to accomplish this goal
  3. No, there is not enough text for the Personality Insights service to analyze and provide reliable results
  4. No, the Personality Insights service provides only information about the emotional stat of the candidate
Correct answer: C
Explanation:
Reference: https://developer.ibm.com/watson/blog/2016/01/12/personality-meets-behavior-the-new-ibm-watson-personality-insights-demo/
Reference: https://developer.ibm.com/watson/blog/2016/01/12/personality-meets-behavior-the-new-ibm-watson-personality-insights-demo/
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