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[General] UiPath-SAIAv1 Valid Test Testking & Latest UiPath-SAIAv1 Dumps Sheet

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【General】 UiPath-SAIAv1 Valid Test Testking & Latest UiPath-SAIAv1 Dumps Sheet

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q88-Q93):NEW QUESTION # 88
Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?
  • A. All of the entities in a communication must be reviewed.
  • B. A single entity value can be split across multiple paragraphs.
  • C. All of the entities within a paragraph should be reviewed.
  • D. If the entity value is correctly predicted, but the entity type is wrong, it cannot be changed.
Answer: C
Explanation:
According to the UiPath Communications Mining documentation, reviewing and applying entities is a crucial step for improving the accuracy and performance of the entity extraction models. When reviewing entities, users should check all of the predicted entities within a paragraph, as well as any missing or incorrect ones.
Users can accept, reject, edit, or create entities using the platform's interface or keyboard shortcuts. Users can also change the entity type if the value is correct but the type is wrong. Reviewing and applying entities helps the platform learn from the user feedback and refine its predictions over time. It also helps users assess the automation potential and benefit of the communications data.
References:
Communications Mining - Reviewing and applying entities
Communications Mining - Improving entity performance

NEW QUESTION # 89
Which of the following extractors can be used for Data Extraction Scope activity?
  • A. Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
  • B. Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.
  • C. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
  • D. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
Answer: D
Explanation:
The Data Extraction Scope activity provides a scope for extractor activities, enabling you to configure them according to the document types defined in your taxonomy. The output of the activity is stored in an ExtractionResult variable, containing all automatically extracted data, and can be used as input for the Export Extraction Results activity. This activity also features a Configure Extractors wizard, which lets you specify exactly what fields from the document types defined in the taxonomy you want to extract1.
The extractors that can be used for Data Extraction Scope activity are:
Regex Based Extractor: This extractor enables you to use regular expressions to extract data from text documents. You can define your own expressions or use the predefined ones from the Regex Based Extractor Configuration wizard2.
Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the position and relative distance of the fields. You can define the templates for each document type using the Form Extractor Configuration wizard3.
Intelligent Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the labels and values of the fields. You can define the fields for each document type using the Intelligent Form Extractor Configuration wizard.
Machine Learning Extractor: This extractor enables you to extract data from any type of document, using a machine learning model that is trained on your data. You can use the predefined models from UiPath or your own custom models hosted on AI Center or other platforms. You can configure the fields and the model for each document type using the Machine Learning ExtractorConfiguration wizard.
References: 1: Data Extraction Scope 2: Regex Based Extractor 3: Form Extractor 4: Intelligent Form Extractor
5: Machine Learning Extractor

NEW QUESTION # 90
In the case of accidentally starting a process from UiPath Assistant, where should the user manually terminate the execution?
  • A. From the "Home" tab and locate the running process associated with the execution.
  • B. By terminating the UiPath Robot service from the Task Manager.
  • C. By closing the UiPath Assistant application.
  • D. From the "Jobs" tab in UiPath Assistant.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
WithinUiPath Assistant, the"Jobs" tabdisplays all active or queued processes. From there, a user can select a running job andmanually stop or kill the execution. This is thesafest and recommended wayto halt unintended automations.
* Closing UiPath Assistant doesnot stopa running process-it only hides the interface.
* UiPath Documentation Reference:UiPath Assistant Guide - Managing Jobs

NEW QUESTION # 91
What does Data Extraction do?
  • A. Applies rules for validating that the information extracted from a document is correct.
  • B. Digitizes the document that should be processed.
  • C. Identifies and extracts specific information that should be processed.
  • D. Identifies words and their coordinates from images and PDFs.
Answer: C
Explanation:
Data Extraction identifies and extracts specific information from documents to be processed by automations.
This is a key part of UiPath's Document Understanding Framework, enabling bots to process structured and unstructured documents effectively.
Reference: UiPath Document Understanding - Data Extraction

NEW QUESTION # 92
What is the purpose of the One Click Classification feature in the UiPath Document Understanding interface?
  • A. It allows users to bypass the need for manually creating Datasets, Pipelines, and ML Skills in AI Center and enables training document classifiers directly within Document Understanding.
  • B. It is a pre-trained Machine Learning model that helps you classify documents by providing a prompt.
  • C. It enables users to manually create Datasets, Pipelines, and ML Skills in Document Understanding itself.
  • D. It enables you to directly edit and alter the underlying code of the ML models used for classification, giving the users unprecedented control over the machine learning process in Document Understanding.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
One Click Classificationstreamlines the training process by eliminating the need to manually create AI Center components like datasets and pipelines. It enables users totrain custom document classification modelsentirely within the Document Understanding interface in Studio or Orchestrator.
* This feature is especially helpful for business users or developers new to AI Center.
* UiPath Documentation Reference:One Click Training - Document Understanding

NEW QUESTION # 93
......
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