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Frequently Asked Questions
Question # 1
What is the Machine Learning Extractor?
A. A specialized model that can recognize multiple languages in the same document usingAPI calls to a Hugging Face model with over 250 languages.
B. An extraction model that can be enabled and trained in Al Center. For better accuracy.25 documents per model are recommended to train the model.
C. A tool using machine learning models to identify and report on data targeted for dataextraction.
D. A tool that helps extract data from different document structures, and is particularlyuseful when the same document has multiple formats.
Question # 2
Which of the following are unstructured documents?
A. Invoices, receipts, purchase orders, and medical bills.
B. Banking forms, tax forms, surveys, and identity cards.
C. Contracts, emails, banking forms, and tax forms.
D. Contracts, agreements, and emails.
Question # 3
Which environment variable is relevant for Evaluation pipelines?
A. eval.enable_ocr
B. eval.redo_ocr
C. eval.enable_qpu
D. eval.use_cuda
Question # 4
What is the name of the web application that allows users to prepare, review, and makecorrections to datasets required for Machine Learning models?
A. Document Manager.
B. Digitization.
C. Data Manager.
D. ML Extractor.
Question # 5
How can the code be tested in a development or testing environment in the context of theDocument Understanding Process?
A. Use them as a template to create other tests.
B. Simply run the existing tests
C. Based on the use case developed, create test data to test existing and new tests.
D. Based on the use case developed, create test data to test existing tests.
Question # 6
What is one of the purposes of the Config file in the UiPath Document UnderstandingTemplate?
A. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
B. It stores the API keys and authentication credentials for accessing external services.
C. It specifies the output file path and format for the processed documents.
D. It defines the input document types and formats supported by the template.
Question # 7
Which of the following OCR (Optical Character Recognition) engines is not free of charge?
A. Tesseract.
B. Microsoft Azure OCR.
C. OmniPaqe.
D. Microsoft OCR.
Question # 8
What do entity predictions refer to within UiPath Communications Mining?
A. The understanding of the parent-label relationship when assigning label predictions.
B. The difference between label suggestions and label predictions in a training process.
C. The identification of a specific span of text as a value for a particular entity type.
D. The model's confidence that a specific concept exists within a communication.
Question # 9
What can be done in the Reports section of the dataset navigation bar in UiPathCommunication Mining?
A. Train models using unsupervised learning.
B. View, save, and modify dataset model versions.
C. Monitor model performance and receive recommendations.
D. Access detailed, quervable charts, statistics, and customizable dashboards.
Question # 10
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.
Question # 11
Which technology enables UiPath Communications Mining to analyze and enable action onmessages?
A. Natural Language Processing (NLP)
B. Virtual Reality.
C. Cloud Computing.
D. Robotic Process Automation
Question # 12
Which of the following consumes Page Units?
A. Applying OCR on a 10-page document.
B. Creation of a Document Validation Action in Action Center.
C. Using ML Classifier on a 21-page document.
D. Using Intelligent Form Extractor on a 5-page document with 0 successful extractions.
Question # 13
What does the Label Trends table in UiPath Communications Mining show?
A. How the top 10 labels for a given time period perform compared to the previous periodand their change in rank.
B. How the top 10 senders for a given time period perform compared to the previous periodand their change in rank.
C. How the top 10 entities for a given time period perform compared to the previous periodand their change in rank.
D. How the top 10 labels and entities for a given time period perform compared to theprevious period and their change in rank.
Question # 14
When creating a training dataset, what is the recommended number of samples for theClassification fields?
A. 5-10 document samples from each class.
B. 10-20 document samples from each class.
C. 20-50 document samples from each class.
D. 50-200 document samples from each class.
Question # 15
What are the languages supported by the generic Document Understanding ML Package?
A. Languages using the Greek left-to-right alphabet. Japanese, and Chinese.
B. Languages using the Cyrillic alphabet, the Greek left-to-right alphabet, and Chinese.
C. Languages using the Latin alphabet (like Italian, French. Portuguese. Spanish, andRomanian), and the Greek left-to-right alphabet.
D. Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-rightalphabet. Japanese, and Chinese.
Question # 16
In which of the following scenarios, the ML Classifier is the only recommended classifier tobe used, according to best practice?
A. When the custom document types are very similar and file splitting is not necessary.
B. When the custom document types are not similar and file splitting is not necessary.
C. When the custom document types are not similar and file splitting is necessary.
D. When the custom document types are very similar and file splitting is necessary.
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