QUESTION: 29

What is the purpose of the End Process in the Document Understanding Process?

The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing/cleaning if required.
End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.

Answer(s): B

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QUESTION: 30

What is the definition of Deep Learning?

A sub-field of artificial intelligence that enables systems to learn from data.
Systems learn from previous experience and information to deduce and predict future information.
To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.
An area of machine learning concerned with artificial neural networks.
These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

Answer(s): D

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QUESTION: 31

What can the Custom Named Entity Recognition out-of-the-box model be used for?

Understand sentiment in product reviews, customer surveys, social media posts, and emails.
Classify text in resumes, emails, web pages, and other formats.
Relate customer questions to FAQ documents and automatically pull responses from these documents.
Extract and classify text in emails, letters, web pages, research papers, and call transcripts.

Answer(s): D

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QUESTION: 32

When dealing with variable-length data, or data spanning over multiple pages of the document (e.g.

item tables), what is the recommended data extraction methodology to be used?

Hybrid data extraction.
Rule-based data extraction.
Model-based data extraction.
Manual data extraction.

Answer(s): C

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QUESTION: 32

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