QUIZ 2025 TRUSTABLE UIPATH UIPATH-SAIV1: TEST UIPATH CERTIFIED PROFESSIONAL SPECIALIZED AI PROFESSIONAL V1.0 GUIDE ONLINE

Quiz 2025 Trustable UiPath UiPath-SAIv1: Test UiPath Certified Professional Specialized AI Professional v1.0 Guide Online

Quiz 2025 Trustable UiPath UiPath-SAIv1: Test UiPath Certified Professional Specialized AI Professional v1.0 Guide Online

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q136-Q141):

NEW QUESTION # 136
What are all the types of ML (Machine Learning) models supported by Al Center?

  • A. Out-of-the-box models from UiPath technology partners and custom models.
  • B. Out-of-the-box models from UiPath, UiPath technology partners, open-source models from the community, and custom models.
  • C. Out-of-the-box models from UiPath and UiPath technology partners.
  • D. Out-of-the-box models from UiPath technology partners, and open-source models from the community.

Answer: B

Explanation:
In UiPath AI Center, the platform supports several types of machine learning (ML) models, including:
* Out-of-the-box models from UiPath: Pre-built models designed for common automation tasks.
* Models from UiPath technology partners: External models developed by UiPath's partners.
* Open-source models: Community-contributed models that can be used and adapted for various use cases.
* Custom models: Models that users build and train specifically for their projects using their datasets.
This flexibility in model support ensures that organizations can leverage a wide range of machine learning capabilities to suit different automation needs.
For more details, refer to:
* UiPath AI Center Documentation: AI Center Models
* Machine Learning Model Types: Types of Models in UiPath AI Center


NEW QUESTION # 137
What does adding missed labels help improve in UiPath Communications Mining?

  • A. Label bias warnings.
  • B. Increases the taxonomy coverage.
  • C. Label precision and recall.
  • D. Increases data security.

Answer: C


NEW QUESTION # 138
As a best practice, who should perform the data labeling?

  • A. Automation RPA Developers.
  • B. Business Analysts.
  • 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 and meaningfully for training machine learning models. Their expertise is essential for accurate taxonomy and data preparation


NEW QUESTION # 139
What is the Document Object Model (DOM) in the context of Document Understanding?

  • A. The DOM is a built-in artificial intelligence system that automatically understands and interprets the content and the type of documents, eliminating the need for manual data extraction.
  • B. The DOM is a JSON object containing information such as name, content type, text length, number of pages, page rotation, detected language, content, and coordinates for the words identified in the file.
  • C. The DOM is a graphical user interface (GUI) tool in UiPath Document Understanding that provides visual representations of documents, making it easier for users to navigate and interact with the content.
  • D. The DOM is a feature that allows you to convert physical documents into virtual objects that can be manipulated using programming code.

Answer: B

Explanation:
The Document Object Model (DOM) is a data representation of the objects that comprise the structure and content of a document on the web1. In the context of Document Understanding, the DOM is a JSON object that is generated by the Digitize Document activity, which uses the UiPath Document OCR engine to extract the text and layout information from the input document2. The DOM contains the following properties for each document3:
* name: The name of the document file.
* contentType: The MIME type of the document file, such as application/pdf or image/jpeg.
* textLength: The number of characters in the document text.
* pages: An array of objects, each representing a page in the document. Each page object has the following properties:
* pageNumber: The number of the page, starting from 1.
* rotation: The angle of rotation of the page, in degrees. A positive value indicates clockwise rotation, and a negative value indicates counterclockwise rotation.
* language: The language code of the page, such as en or fr.
* content: An array of objects, each representing a word or a line in the page. Each content object has the following properties:
* type: The type of the content, either word or line.
* text: The text of the content.
* boundingBox: An array of four numbers, representing the coordinates of the top-left and bottom-right corners of the content, in the format [x1, y1, x2, y2]. The coordinates are relative to the page, with the origin at the top-left corner, and the unit is pixel.
* confidence: A number between 0 and 1, indicating the confidence level of the OCR engine in recognizing the content.
The DOM can be used as an input for other activities in the Document Understanding framework, such as Classify Document Scope, Data Extraction Scope, or Export Extraction Results. The DOM can also be manipulated using programming code, such as JavaScript or Python, to perform custom operations on the document data.
References:
1: Introduction to the DOM - Web APIs | MDN 2: Digitize Document 3: Document Object Model


NEW QUESTION # 140
What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?

  • A. Document Manager.
  • B. Digitization.
  • C. ML Extractor.
  • D. Data Manager.

Answer: D


NEW QUESTION # 141
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