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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q223-Q228):
NEW QUESTION # 223
What components are part of the Document Understanding Process template?
- A. Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.
- B. Import. Classification. Text Extractor, and Data Validation.
- C. Load Taxonomy, Digitization. Categorization. Data Validation, and Export.
- D. Load Document. Categorization. Data Extraction, and Validation.
Answer: A
Explanation:
The Document Understanding Process template is a fully functional UiPath Studio project template based on a document processing flowchart. It provides logging, exception handling, retry mechanisms, and all the methods that should be used in a Document Understanding workflow, out of the box. The template has an architecture decoupled from other connected automations and supports both attended and unattended processes with human-in-the-loop validation via Action Center. The template consists of the following components1:
Load Taxonomy: This component loads the taxonomy file that defines the document types and fields to be extracted. The taxonomy file can be created using the Taxonomy Manager in Studio or the Data Manager web application.
Digitization: This component converts the input document into a digital format that can be processed by the subsequent components. It uses the Digitize Document activity to perform OCR (optical character recognition) on the document and obtain a Document Object Model (DOM).
Classification: This component determines the document type of the input document using theClassify Document Scope activity. It can use either a Keyword Based Classifier or a Machine Learning Classifier, depending on the configuration. The classification result is stored in a ClassificationResult variable.
Data Extraction: This component extracts the relevant data from the input document using the Data Extraction Scope activity. It can use different extractors for different document types, such as the Form Extractor, the Machine Learning Extractor, the Regex Based Extractor, or the Intelligent Form Extractor. The extraction result is stored in an ExtractionResult variable.
Data Validation: This component allows human validation and correction of the extracted data using the Present Validation Station activity. It opens the Validation Station window where the user can review and edit the extracted data, as well as provide feedback for retraining the classifiers and extractors. The validated data is stored in a DocumentValidationResult variable.
Export: This component exports the validated data to a desired output, such as an Excel file, a database, or a downstream process. It uses the Export Extraction Results activity to convert the DocumentValidationResult variable into a DataTable variable, which can then be manipulated or written using other activities.
References: Document Understanding Process: Studio Template, Document Understanding Process - New Studio Template, Document Understanding Process Template in UiPath Studio
NEW QUESTION # 224
As a best practice, who should perform the data labeling?
- A. Business Analysts.
- B. Automation RPA Developers.
- C. Data Scientists.
- D. Subject Matter Experts.
Answer: D
Explanation:
As a best practice, Subject Matter Experts (SMEs) should perform the data labeling in UiPath Communications Mining or Document Understanding projects. SMEs have the in-depth knowledge of the specific content and context, which ensures that the data is labeled correctly andmeaningfully for training machine learning models. Their expertise is essential for accurate taxonomy and data preparation
NEW QUESTION # 225
What are the UiPath Action Center action statuses?
- A. Unassigned, Pending, Edited, Completed
- B. Unassigned, Assigned, Modified, Completed
- C. Unassigned, Pending, Completed
- D. Unassigned, Assigned, Completed
Answer: C
Explanation:
The valid Action Center statuses are:
Unassigned: The action is not assigned to any user.
Pending: The action is assigned and awaiting user response.
Reference: UiPath Action Center
NEW QUESTION # 226
How is the Taxonomy component used in the Document Understanding Template?
- A. To convert scanned documents into machine-readable formats, utilizing taxonomy rules to enhance digitized content accuracy.
- B. To assign predefined document categories based on content similarity, simplifying classification tasks for easier document organization.
- C. To automatically extract structured data fields from documents, leveraging taxonomy mappings for precise data extraction.
- D. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
Answer: D
Explanation:
Reference: UiPath Taxonomy Manager
NEW QUESTION # 227
For what type of documents is it recommended to use the RegEx Based Extractor?
- A. For structured or semi-structured documents in which layouts of different document providers vary greatly.
- B. For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.
- C. For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.
- D. For structured or semi-structured documents in which layouts of different document providers have little to no variation.
Answer: B
Explanation:
The RegEx Based Extractor is most effective for documents where data fields follow a strict and predictable format, such as dates, invoice numbers, or specific patterns like email addresses. This method is well-suited for extracting information from structured or semi-structured documents with consistent formats across different documents, making it highly reliable for use cases where patterns are easily identifiable and do not vary significantly.
(Source: UiPath Document Understanding documentation)
NEW QUESTION # 228
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