UiSAIv1

UiSAIv1 practice questions, page 13 of 20, with answer review and explanations.

Question 61

What is the Machine Learning Extractor?

  1. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
  2. An extraction model that can be enabled and trained in AI Center. For better accuracy, 25 documents per model are recommended to train the model.
  3. A tool using machine learning models to identify and report on data targeted for data extraction.
  4. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.

Question 62

What are the two main data extraction methodologies used in document understanding processes?

  1. Hybrid and manual data extraction.
  2. Rule-based and model-based data extraction.
  3. Rule-based and hybrid data extraction.
  4. Manual and model-based data extraction.

Question 63

What are the out-of-the-box model types available in AI Center?

  1. Pre-trained, custom training, and reviewed.
  2. Custom training, fine-tunable, and reviewed.
  3. Pre-trained, fine-tunable, and reviewed.
  4. Pre-trained, custom training, and fine-tunable.

Question 64

What are the languages supported by the generic Document Understanding ML Package?

  1. Languages using the Greek left-to-right alphabet, Japanese, and Chinese.
  2. Languages using the Cyrillic alphabet, the Greek left-to-right alphabet, and Chinese.
  3. Languages using the Latin alphabet (like Italian, French, Portuguese. Spanish, and Romanian), and the Greek left-to-right alphabet.
  4. Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-right alphabet, Japanese, and Chinese.

Question 65

Which of the following time periods can be selected when viewing Trends in UiPath Communications Mining?

  1. Daily, Monthly, Quarterly, Yearly.
  2. Daily, Weekly, Monthly, Yearly.
  3. Daily, Bi-weekly, Monthly, Yearly.
  4. Daily, Bi-weekly, Quarterly, Yearly.