UiPath UiPath-SAIAv1 Exam Details & Actual Exam Questions
- Exam Code/Number: UiPath-SAIAv1
- Exam Name/Title: UiPath Specialized AI Associate Exam (2023.10)
- Certification Provider: UiPath
- Corresponding Certification: UiPath Specialized AI Associate
- Exam Questions: 250
- Updated On: Jul,24 2026
- Certification Level: Associate
UiPath Specialized AI Associate Exam (2023.10) Exam Questions
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(26 Up Votes)UiPath UiPath-SAIAv1 Exam Overview:
| Certification Vendor: | UiPath |
| Exam Name: | UiPath Specialized AI Associate Exam (2023.10) |
| Exam Number: | UiPath-SAIAv1 |
| Real Exam Qty: | 40 - 60 |
| Exam Price: | $150 USD |
| Related Certifications: | UiPath Certified Professional Specialized AI Professional |
| Passing Score: | 70% |
| Available Languages: | English, Japanese |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple select |
| Recommended Training: | Specialized AI Associate Training Plan |
| Exam Registration: | UiPath Certification Portal |
| Sample Questions: | UiPath UiPath-SAIAv1 Sample Questions |
| Exam Way: | Online proctored / Onsite at test centers |
| Pre Condition: | No formal prerequisites; recommended basic experience with UiPath Studio and AI concepts |
| Official Syllabus URL: | https://academy.uipath.com/certifications/specialized-ai-associate |
UiPath UiPath-SAIAv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Center | 20% | - Model management, performance, and drift monitoring - ML packages and skill deployment - Integration with Studio and Orchestrator |
| Topic 2: Business & Platform Knowledge | 15% | - 2023.10 version updates and features - UiPath Platform overview and AI capabilities - AI and automation concepts and value |
| Topic 3: Communications Mining | 15% | - Data preparation and model training - Email and text classification - Insights and process improvement |
| Topic 4: Generative AI & Advanced Capabilities | 15% | - Context Grounding and RAG implementation - Integration with OpenAI / Azure OpenAI - AI governance and confidence thresholds - GenAI activities and prompt engineering |
| Topic 5: Document Understanding | 35% | - Digitization, classification, and extraction - Taxonomy configuration and management - Validation, annotation, and human-in-the-loop - Pre-built models: Invoice AI, Receipt AI, ID AI, Forms AI |
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