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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which of the following extractors can be used for Data Extraction Scope activity?

A. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
B. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
C. Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
D. Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.

Answer: B

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 Extractor Configuration wizard.
References: 1: Data Extraction Scope 2: Regex Based Extractor 3: Form Extractor 4: Intelligent Form Extractor
5: Machine Learning Extractor

NEW QUESTION # 60
What is the correct order of migrating a dataset from Document Manager to a Modern Project? Instructions:
Drag the Description found on the left and drop on the correct Step found on the right.

Answer:

Explanation:

Explanation:
To organize the steps in the correct order for migrating a dataset from the Document Manager to a Modern Project, I'll analyze the instructions and then match the steps accordingly. Here's the logical order based on the descriptions:
* Step 1: Navigate to and open the project into which you want to import data. Select an already existing custom document type or create a new one.
* Step 2: Select "Upload" and choose the ZIP file exported from the classic project. Wait for the upload to finish.
* Step 3: Go to the document type you want to export and select "Open document type."
* Step 4: From the "Filter documents" drop-down list, select "Training and validation set." Select
"Export."
* Step 5: Leave "Current search results" selected and fill in a name for your export job. Select
"Download."
This should reflect the correct sequential process of migrating a dataset from Document Manager to a Modern Project.

NEW QUESTION # 61
What is Document Understanding?

A. A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.
B. A solution for combining different approaches to extract information from workflows.
C. A solution for the processing of Excel files for extracting data tables.
D. A solution that offers the ability to digitize, extract, validate, and train data from documents.

Answer: D

NEW QUESTION # 62
Which of the following extractors can be used for Data Extraction Scope activity?

A. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
B. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
C. Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
D. Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.

Answer: B

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 Extractor Configuration wizard.
References: 1: Data Extraction Scope 2: Regex Based Extractor 3: Form Extractor : Intelligent Form Extractor: Machine Learning Extractor

NEW QUESTION # 63
Which of the following document type is part of UiPath's out-of-the-box models?

A. Invoices.
B. Medical prescriptions.
C. Emails.
D. Letters.

Answer: A

Explanation:
UiPath offers several pre-trained out-of-the-box models, and Invoices is one of the most commonly supported document types. This model is optimized to extract relevant fields such as invoice numbers, dates, amounts, and more from structured invoices. Other common out-of-the-box models include receipts and purchase orders.

NEW QUESTION # 64
......

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UiPath-SAIv1 Dumps Reviews & Valid Dumps UiPath-SAIv1 Sheet

Valid Dumps UiPath-SAIv1 Sheet | Exam UiPath-SAIv1 Vce

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q59-Q64):

Prep4sureGuide Latest UiPath-SAIv1 Dumps Will Help You Build A SuccessFul Career

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