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C7020-230 PDF DEMO:
QUESTION NO: 1
In a neural network, what is the name of the region marked with a question mark?
A. Hidden Layer
B. Computational Layer
C. Cognitive Layer
D. Intelligence Layer
QUESTION NO: 2
What is the purpose of the IBM Watson Visual Recognition REST API classify endpoint?
A. It turns a collection of images into structured data that can easily be indexed and queried.
B. It analyzes the uploaded images against classifiers.
C. It enables users to upload a set of images as a zip file for insight extraction.
D. It trains a new classifier on the uploaded image data.
QUESTION NO: 3
How can the IBM Watson Speech to Text service be controlled to continue transcribing until the input audio stream terminates?
A. Set the value of the Continuous parameter to true in the input to recognize the API.
B. This is not possible as the Speech to Text service stops transcription at the first pause.
C. Set the value of the DoNotStop parameter to true in the input to recognize the API.
D. Set the value of multipart parameter to true in the input to recognize the API.
By default, the service stops transcription at the first end-of-speech (EOS) incident, which is denoted by a half-second of non-speech (typically silence) or when the stream terminates. Set the continuous parameter to true to instruct the service to transcribe the entire audio stream until the stream terminates. In this case, the results can include multiple transcript elements to indicate phrases separated by pauses. You can concatenate the transcript elements to assemble the complete transcription of the audio stream.
QUESTION NO: 4
Which two Natural Language Processing artifacts are part of the Watson Knowledge Studio?
A. parsing rules
B. mention detection
C. part-of-speech tagging
D. sentence tokenization
E. relation detection
QUESTION NO: 5
A system with a set of classifiers is trained to recognize eight different company logos from images.
It is 78% accurate. Without further information, which statement is true?
A. The system has 78% precision and recall.
B. The system has a precision of 78% and a recall of 22%.
C. The system is equally reliable for classifying any one of the eight logo types 78% of the time.
D. The accuracy of the system for any one class cannot be determined.
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