UiPath UiPath-SAIv1 Exam Details & Actual Exam Questions

  • Exam Code/Number: UiPath-SAIv1
  • Exam Name/Title: UiPath Certified Professional Specialized AI Professional v1.0
  • Certification Provider: UiPath
  • Corresponding Certification: UiPath Certified Professional
  • Exam Questions: 213
  • Updated On: Jul,17 2026
  • Certification Level: Professional

UiPath Certified Professional Specialized AI Professional v1.0 Exam Questions

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UiPath UiPath-SAIv1 Exam Overview:

Certification Vendor:UiPath
Exam Name:UiPath Certified Professional Specialized AI Professional v1.0
Exam Number:UiPath-SAIv1
Certificate Validity Period:2 years
Real Exam Qty:60
Available Languages:English
Passing Score:70%
Exam Price:$150 USD
Exam Format:Multiple Choice, Multiple Response, Scenario-based
Exam Duration:120 minutes
Related Certifications:UiPath Certified Professional Specialized AI Professional
Sample Questions:UiPath UiPath-SAIv1 Sample Questions
Exam Way:Online proctored exam
Pre Condition:UiPath Certified Professional Automation Developer certification recommended
Official Syllabus URL:https://www.uipath.com/learning/certification

UiPath UiPath-SAIv1 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: UiPath Document Understanding40%- ML Models
  • 1. Configure classification and extraction
  • 2. Out-of-the-box models
  • 3. Train and deploy ML models
- Document Understanding Framework
  • 1. Configure Document Understanding activities
  • 2. Taxonomy definition and management
  • 3. Data extraction and validation
Topic 2: UiPath AI Center20%- ML Model Management
  • 1. Deploy and manage ML models
  • 2. Retrain and versioning
  • 3. Monitor model performance
- Integration
  • 1. Connect with UiPath Studio
  • 2. Pipeline management
  • 3. Data management
Topic 3: UiPath Communications Mining30%- Actionable Insights
  • 1. Prioritization and routing
  • 2. Trend analysis
  • 3. Dashboard and reporting
- Communications Mining Fundamentals
  • 1. Define taxonomy and labels
  • 2. Train and evaluate models
  • 3. Configure data sources
Topic 4: Solution Design and Best Practices10%- Implementation Best Practices
  • 1. Deployment strategies
  • 2. Maintenance and monitoring
  • 3. Testing and validation
- Architecture Design
  • 1. Error handling and exception management
  • 2. Scalability and performance
  • 3. End-to-end solution design


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