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Instant Download UiPath : UiPath-SAIv1 Questions & Answers as PDF & Test Engine
- Exam Code: UiPath-SAIv1
- Exam Name: UiPath Certified Professional Specialized AI Professional v1.0
- Updated: Sep 03, 2026
- No. of Questions: 213 Questions and Answers
- Download Limit: Unlimited
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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Center & ML Integration | 25% | - Deploy and monitor ML models - Integrate AI models with Studio workflows - Model lifecycle management |
| Topic 2: Communications Mining | 25% | - Model training, annotation and refinement - Analyze predictions and improve performance - Taxonomy design and management |
| Topic 3: Document Understanding | 30% | - Document Understanding Framework
|
| Topic 4: AI-Powered Automation Design | 20% | - Design scalable and reliable AI-enabled automation solutions - Apply AI governance and security principles - Select appropriate AI capabilities for business problems |
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
Question 1
Which of the following use cases is best suited for tone analysis instead of label sentiment analysis in UiPath Communications Mining?
A. Analyzing customer satisfaction survey responses.
B. Monitoring "Quality of Service" in an operations-focused shared mailbox in a B2B organization.
C. Analyzing employee engagement survey responses.
D. Analyzing customer complaints in a B2C organization.
Question 2
For what type of documents is it recommended to use the RegEx Based Extractor?
A. For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.
B. For structured or semi-structured documents in which layouts of different document providers vary greatly.
C. For structured or semi-structured documents in which layouts of different document providers have little to no variation.
D. For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.
Question 3
A Document Understanding Process is in production. According to best practices, what are the locations recommended for exporting the result files?
A. Network Attached Storage and Orchestrator Bucket.
B. Orchestrator Bucket and Queue Item.
C. On a VM, Orchestrator Bucket, and Network Attached Storage.
D. Locally, Temp Folder, Network Attached Storage, and Orchestrator Bucket.
Question 4
What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?
A. It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
B. It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.
C. It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.
D. It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.
Question 5
On at least how many different pages should a regular field be labeled in Data Manager before Exporting the labeled documents to Al Center?
A. 15
B. 20
C. 10
D. 5
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: C |
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