IBM C1000-012 Online Practice Questions and Exam Preparation

IBM C1000-012 Online Questions & Answers

• Question 21:

  In the IBM Watson Assistant service, can more than one entity or intent be assigned for a single dialog node?

  A. Yes, any number of intents and entities can be added to a single dialog node
  B. No, the "jump to" can be used in order to branch to other nodes that have different entity and intent types for the conversation flow
  C. No, the addition of more dialog nodes can direct the conversation flow to other intents and entities within those additional dialog nodes
  D. Yes, 5 entities and 5 intents can be assigned to a single dialog node
  A. Yes, any number of intents and entities can be added to a single dialog node

• Question 22:

  What is the method for measuring the accuracy of an unsupervised machine learning system?

  A. precision
  B. using a confusion matrix
  C. changing training set size and averaging results
  D. cross-validation tests
  D. cross-validation tests

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  Explanation Explanation/Reference:https://www.researchgate.net/post/Which_are_the_methods_to_validate_an_unsupervised_machine_learning_algorithm

• Question 23:

  What system entity can be configured within an IBM Watson Assistant agent?

  A. sys-intent
  B. sys-number
  C. sys-condition
  D. sys-entity
  D. sys-entity

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  Reference https://cloud.ibm.com/apidocs/assistant

• Question 24:

  Which IBM Watson Natural Language Understanding service is used to identify Subject-Action-Object triples in unstructured text?

  A. Linked Data Support
  B. Keywords
  C. Categories
  D. Semantic Roles
  D. Semantic Roles

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  Explanation Explanation/Reference:https://console.bluemix.net/docs/services/natural-language-understanding/index.html#about

• Question 25:

  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"

  A. Tropical Storm Helga
  B. late winter
  C. Helga
  D. storms
  D. storms

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  Explanation Explanation/Reference:https://console.bluemix.net/docs/services/watson-knowledge-studio/typesystem.html#typesystem

• Question 26:

  What is the purpose of the IBM Watson Visual Recognition REST API classify endpoint?

  A. It analyzes the uploaded images against classifiers.
  B. It turns a collection of images into structured data that can easily be indexed and queried.
  C. It trains a new classifier on the uploaded image data.
  D. It enables users to upload a set of images as a zip file to create a custom classifier.
  B. It turns a collection of images into structured data that can easily be indexed and queried.

• Question 27:

  Someone is training a machine learning system to perform classification of unstructured content. What is the purpose of a validation data set on the training process?

  A. Validation data sets are used to fine tune the accuracy of the training model
  B. Validation data sets are only used if test data is unavailable
  C. Validation data sets are exactly the same as test data sets and are used to test the limits of the machine learning model
  D. Validation data sets would never be used in a classification system as only training and test data are required
  C. Validation data sets are exactly the same as test data sets and are used to test the limits of the machine learning model

• Question 28:

  What is the formula for recall in a classification system?

  A. False Positives / (True Negatives + False Negatives)
  B. True Positives / (True Positives + True Negatives)
  C. True Positives / (True Positives + False Positives)
  D. True Positives / (True Positives + False Negatives)
  C. True Positives / (True Positives + False Positives)

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  https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9

• Question 29:

  What combination of IBM Watson services would best implement the Agent Assist pattern?

  A. Speech to Text and Personality Insights
  B. Watson Assistant and Discovery
  C. Watson Assistant and Visual Recognition
  D. Natural Language Classifier and Visual Recognition
  B. Watson Assistant and Discovery

• Question 30:

  Which three Watson AI capabilities are applicable to analyze data insights on the text of a tweet on Twitter? (Choose three.)

  A. keyword extraction
  B. natural scene text recognition
  C. text-to-speech
  D. entity extraction
  E. text classification
  F. speech recognition
  A. keyword extraction
  D. entity extraction
  E. text classification