C1000-012 Exam Details

  • Exam Code
    :C1000-012
  • Exam Name
    :IBM Watson Application Developer V3.1
  • Certification
    :IBM Certifications
  • Vendor
    :IBM
  • Total Questions
    :99 Q&As
  • Last Updated
    :Jul 09, 2026

IBM C1000-012 Online Questions & Answers

  • Question 31:

    What combination of these Watson AI capabilities are applicable for an email-based, help desk?

    A. structured data analytics
    B. image classification
    C. keyword extraction
    D. speech recognition
    E. text classification
    F. entity extraction

  • Question 32:

    What type of input data can IBM Watson Assistant consume independently?

    A. string of text
    B. speech
    C. images
    D. audio

  • Question 33:

    What is the purpose of the IBM Watson Natural Language Classifier service?

    A. Interpret the intent behind text and returns a corresponding classification with associated confidence levels
    B. Reduce the number of random utterances consideration, by obtaining a set of uncorrelated utterances
    C. Translate a natural language sentence into a syntactic representation such as a parse tree
    D. 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

  • Question 34:

    When would this pattern be used?

    A. When there is a need to disambiguate the output of a dialog
    B. When there is a need to analyze or index content contained within an image
    C. When there is a need to analyze or index content contained within speech
    D. When there is a need to search through output from Natural Language Classifier

  • Question 35:

    When running an application on IBM Cloud that uses the IBM Watson assistant service, what is the prerequisite to use the service?

    A. That the Watson Assistant service credentials username and password are provisioned and referenced for the application.
    B. That the Watson Assistant service is associated with an IBM Watson speech to Text service.
    C. That the Watson Assistant service uses robust conversation collected from actual user questions.
    D. That the Watson Assistant service is bound to the application.

  • Question 36:

    Which two statements accurately describe file size management for IBM Watson Discovery service?

    A. Sample documents must be uploaded to a separate collection other than actual content.
    B. The maximum file size for a sample document is 1MB.
    C. The maximum file size for documents in a collection is 50MB.
    D. There is a limit of no more than 5 documents sample documents.
    E. Sample documents must be deleted before uploading documents to a collection.

  • Question 37:

    Based on the phrase below, which words are examples of the same co-reference?

    "John F Kennedy was not president of the United States for a long time. He only served in the White House from 1961 to 1963".

    A. "served", "1961" and "1963"
    B. "John F Kennedy", "president", and "he"
    C. "president", "United States", and "White House"
    D. "John F Kennedy", "United States", and "White House"

  • Question 38:

    How does a developer obtain all of the information needed to connect to an IBM Watson AI service?

    A. All needed information is published in the service's online reference
    B. From the service instance, using the IBM Cloud GUI or the Command Line Interface (CLI), or programmatically using IBM Cloud environment variables
    C. Programmatically using the IBM Cloud registry
    D. Connection information is found in the IBM Cloud dashboard

  • Question 39:

    Does an application that consumes an IBM Watson service need to be hosted on IBM Cloud?

    A. yes, Watson services are not visible to run-times running outside of the IBM Cloud environment.
    B. No, IBM Cloud is not required for either the application or for working with the service.
    C. No, any application framework supporting standard REST API invocation can consume a Watson service.
    D. Yes, the networking bindings require that the entire application and Watson service run on IBM Cloud.

  • Question 40:

    How would someone train a neutral network?

    A. Compare results from forward propagation to an error score and update weightings accordingly using back propagation
    B. Compare input of network to output of network and back propagate the difference to the input connections layer
    C. Calculate the error rate using cognitive dissonance and back propagate errors to the neurons to minimize the error rate
    D. Back propagate the network output through the network and forward propagate errors in order to update relevant weightings

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