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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: UiPath AI Center | 20% | - Integration
|
| Topic 2: UiPath Communications Mining | 30% | - Communications Mining Fundamentals
|
| Topic 3: Solution Design and Best Practices | 10% | - Implementation Best Practices
|
| Topic 4: UiPath Document Understanding | 40% | - Document Understanding Framework
|
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
Question 1
Having the following list of documents:
Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg, Invoice5.docx
Please choose all the files that can be used in the DocumentPath property of the Classify Document Scope activity.
A. Invoice1.pdf, Invoice4.jpg, Invoice5.docx
B. Invoice1.pdf, Invoice3.gif, Invoice5.docx
C. Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg
D. Invoice1.pdf, Invoice3.gif, Invoice4.jpg
Question 2
What is the purpose of the End Process in the Document Understanding Process?
A. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
B. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
C. End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing
/cleaning if required.
D. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
Question 3
How is the Taxonomy component used in the Document Understanding Template?
A. To automatically extract structured data fields from documents, leveraging taxonomy mappings for precise data extraction.
B. To convert scanned documents into machine-readable formats, utilizing taxonomy rules to enhance digitized content accuracy.
C. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
D. To assign predefined document categories based on content similarity, simplifying classification tasks for easier document organization.
Question 4
When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
A. Rule-based data extraction.
B. Manual data extraction.
C. Model-based data extraction.
D. Hybrid data extraction.
Question 5
Which activity enables the identification of the document type by using any classifier?
A. Present Classification Station activity.
B. Digitize Document activity.
C. Classify Document Scope activity.
D. Train Classifiers Scope activity.
Solutions:
| Question 1 Answer: D | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: C |



