What can the Custom Named Entity Recognition out-of-the-box model be used for?
A. Understand sentiment in product reviews, customer surveys, social media posts, and emails.
B. Classify text in resumes, emails, web pages, and other formats.
C. Relate customer questions to FAQ documents and automatically pull responses from these documents.
D. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
What is the definition of Deep Learning?
A. 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.
B. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
C. 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.
D. 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.
What is the purpose of the End Process in the Document Understanding Process?
A. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
B. 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.
C. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
D. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
Which of the following OCR (Optical Character Recognition) engines is not free of charge?
A. Tesseract.
B. Microsoft Azure OCR.
C. OmniPage.
D. Microsoft OCR.
What is supervised learning?
A. Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments. There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).
B. Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system of rewards and punishments. There are no correct answers, but feedback is given in the form of rewards and penalties.
C. Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables. In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.
D. Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data. There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.
Which environment variable is relevant for Evaluation pipelines?
A. eval.enable_ocr
B. eval.redo_ocr
C. eval.enable_gpu
D. eval.use_cuda
What happens when multiple users try to label the same document concurrently?
A. The changes made by one user override the changes made by others.
B. The changes made by all users are saved successfully.
C. Concurrent labeling is not allowed.
D. A warning message is displayed to the other user(s) indicating unsuccessful changes.
Why might labels have bias warnings in UiPath Communications Mining, even with 100% precision?
A. They were trained using the "Search" option extensively.
B. They were trained using the "Shuffle" option extensively.
C. They have low recall.
D. They lack training examples.
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal
A. Sums up subtotal fields from the config file converted to CDec with the subtotal.
B. Sums up all the line amounts and converts the fields to CDec.
C. Sums up all the line amounts converted to CDec and the subtotal.
D. Sums up the subtotal to the total variable by converting it to CDec.
What additional information can be included in the exported data, apart from the extraction results?
A. The number of occurrences and the extraction confidence.
B. The page number from which the field was extracted and the exact position on the page.
C. The extraction confidence and the digitization confidence.
D. The position on the page.
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