Câu 33: UiASAPv1: UiPath Automation Solution Architect Professional v1.0

What are the differences between rule-based and model-based extractions?

1. A. The rule-based extraction uses methods like regex extractor and form extractor on semi-structured documents, while the model-based extraction uses the forma AI and machine learning, on documents with fixed format.
2. B. The model-based extraction is used for documents with a fixed format, relies on regular expressions and templates, and ensures high accuracy for already known documents. The rule-based extraction is used for semi-structured documents, and relies on pre-trained models as well as on custom models.
3. C. The rule-based extraction is used for documents with a fixed format, relies on rules (like regular expressions) and templates, and ensures high accuracy for already known documents. The model-based extraction is used for semi-structured documents, and relies on pre-trained models (like invoices, receipts, purchase orders, etc.) as well as on custom models. — đáp án hiện tại
4. D. The rule-based extraction uses methods like regex extractor and forms AI, on documents with a fixed format, while the model-based extraction uses the machine learning extractor on semi-structured documents.