IBM C1000-012 Online Practice Questions and Exam Preparation

IBM C1000-012 Online Questions & Answers

• Question 51:

  The IBM Watson Natural Language understanding service can be used to extract sentiment from which two types of input?

  A. images of people's faces
  B. audio files
  C. streaming video file
  D. HTML content
  E. text content
  D. HTML content
  E. text content

  ---

  Reference https://cloud.ibm.com/apidocs/natural-language-understanding

• Question 52:

  What is the main criteria for separating training and test data when training a machine learning system?

  A. Test data should be as random as possible, so that it tests the boundaries of the system.
  B. Training data should be random, but the test data should be created by a subject matter expert.
  C. Training data should be as random as possible, in order to create a robust model.
  D. The data set should be representative and randomly split in to a training set and a test set so that they do not overlap.
  C. Training data should be as random as possible, in order to create a robust model.

• Question 53:

  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 could IBM Watson Natural Language Classifier (NLC) be used in the solution?

  A. Profile properties configured for NLC could direct selection of intent
  B. A location intent could be trained to assess the relevant attitude for the desired product
  C. The phase entered by the user is passed to a classifier to provide a class that indicates the user's intent
  D. A new classifier could point to the correct answer to each question
  B. A location intent could be trained to assess the relevant attitude for the desired product

• Question 54:

  What is a common use case for the IBM Watson Natural Language Classifier service?

  A. Enable back and forth natural language conversations with a user for clarifying questions or helping a user take an action
  B. Design marketing material and provide product recommendations that is more personal and relevant
  C. Find the right person for a specific job or project based on classifications found in a person's resume
  D. Organize tweets into a set of categories, such as events, news, or opinions
  D. Organize tweets into a set of categories, such as events, news, or opinions

  ---

  https://console.bluemix.net/docs/services/natural-language-classifier/natural-language-classifier-overview.html#use-cases

• Question 55:

  What is the formula for precision in a classification system?

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

• Question 56:

  What are examples of the information the IBM Watson Natural Language Understanding service extract from html, or web-based content when it analyzes entities?

  A. text and title information
  B. people, companies, organizations
  C. subject-action-object relations
  D. topic keywords
  C. subject-action-object relations

• Question 57:

  Where can the IBM Watson AI service credentials be retrieved when running an application on IBM Cloud?

  A. configuration file such as "credentials.plist"
  B. token generation service
  C. from the Service Credentials panel of the IBM Cloud service
  D. HTTP Authorization request header
  C. from the Service Credentials panel of the IBM Cloud service

  ---

  https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml-get-wml-credentials.html

• Question 58:

  Which three file types can be ingested by the IBM Watson Discovery service?

  A. JSON
  B. PPT
  C. DOC
  D. XLS
  E. CSV
  F. PDF
  A. JSON
  C. DOC
  F. PDF

• Question 59:

  As a developer begins to construct a conversational agent using IBM Watson Assistant service, which activities would they start with?

  A. Gather representative questions
  B. Design the dialog flow
  C. Add new content based on user activity
  D. Deploy it on the local machine before deploying it live
  B. Design the dialog flow

  ---

  https://developer.ibm.com/tutorials/cc-watson-chatbot-conversation-nlu/

• Question 60:

  When querying for results in the IBM Watson Discovery service, what role does aggregation fulfill?

  A. It allows for querying statistical information of the results set.
  B. It allows for querying a database.
  C. It allows for querying images within a document.
  D. It allows for querying across multiple collections.
  A. It allows for querying statistical information of the results set.

  ---

  Reference https://cloud.ibm.com/docs/services/discovery?topic=discovery-query-reference