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UiPath UiPath-SAIAv1 Dumps

Exam Code:
UiPath-SAIAv1
Exam Name:
UiPath Specialized AI Associate Exam (2023.10)
Last Update: Dec 7, 2025
250 Questions with Explanation
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UiPath-SAIAv1 FAQs

The UiPath-SAIAv1 exam evaluates foundational knowledge and practical skills in leveraging UiPath’s AI-driven automation tools, specifically Document Understanding and Communications Mining. It is designed for individuals in technical roles aiming to demonstrate proficiency in AI-powered process automation and intelligent document processing (IDP). Candidates are tested on their understanding of AI concepts, UiPath Studio integration, and basic automation workflows.

Effective preparation involves:
→ Completing the UiPath Academy’s Specialized AI Associate Training learning plan.
→ Gaining hands-on experience with UiPath Document Understanding and Communications Mining through practical exercises.
→ Reviewing the official UiPath-SAIAv1 Exam Description document for topic weights and structure.
→ Practicing with mock exams on platforms like Dumpspedia to simulate the exam environment.
→ Joining the UiPath Community Forum to discuss preparation strategies and clarify doubts.

Document Understanding questions focus on configuring and managing document processing workflows, including:
→ Setting up document types and fields in Document Manager.
→ Minimum labeling requirements for dataset export (e.g., no minimum number of labeled documents is required).
→ Integrating Document Understanding with UiPath Studio for automation. Expect questions on practical implementation and troubleshooting.

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UiPath Specialized AI Associate Exam (2023.10) Questions and Answers

Questions 1

What happens during the Classify stage of the Document Understanding Framework?

Options:

A.

The OCR engine is used to extract text from the image document.

B.

The extracted data is exported as a dataset.

C.

The target fields are extracted from the document and sent to Action Center for human validation.

D.

The documents are included in one of the taxonomy document types or skipped.

Questions 2

What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?

Options:

A.

7 documents for training the model, and 8 for evaluating the model.

B.

8 documents for training the model, and 7 for evaluating the model.

C.

10 documents for training the model, and 5 for evaluating the model.

D.

12 documents for training the model, and 3 for evaluating the model.

Questions 3

In a Document Understanding project, the user needs to extract information from PDF documents with the following requirements:

The documents can contain scanned or digitally typed text.

The documents can contain checkboxes, and these must be extracted.

The automation must use the logical processors in the most efficient way to obtain the maximum degree of parallelism.What are the properties provided to the Digitize Document activity in the Digitize phase?

Options:

A.

ApplyOcrOnPdf -> Auto

B.

ApplyOcrOnPdf -> Auto DegreeOfParallelism -> -1 DetectCheckboxes -> True

C.

ApplyOcrOnPdf -> No DegreeOfParallelism -> True DetectCheckboxes -> True

D.

ApplyOcrOnPdf -> Auto DegreeOfParallelism -> Max DetectCheckboxes -> True

E.

ApplyOcrOnPdf -> No DegreeOfParallelism -> -1 DetectCheckboxes -> False