UiPath UiPath-SAIv1 Questions & Answers - in .pdf
- Total Q&A: 213
- Update: Aug 19, 2026
- Price: $59.99
- Vendor: UiPath
- Exam Code: UiPath-SAIv1
- Exam Name: UiPath Certified Professional Specialized AI Professional v1.0
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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: UiPath Document Understanding | 40% | - Document Understanding Framework
- 1. Configure Document Understanding activities
- 2. Data extraction and validation
- 3. Taxonomy definition and management
- ML Models
- 1. Train and deploy ML models
- 2. Configure classification and extraction
- 3. Out-of-the-box models
|
| Topic 2: UiPath AI Center | 20% | - ML Model Management
- 1. Deploy and manage ML models
- 2. Monitor model performance
- 3. Retrain and versioning
- Integration
- 1. Pipeline management
- 2. Connect with UiPath Studio
- 3. Data management
|
| Topic 3: UiPath Communications Mining | 30% | - Communications Mining Fundamentals
- 1. Train and evaluate models
- 2. Configure data sources
- 3. Define taxonomy and labels
- Actionable Insights
- 1. Prioritization and routing
- 2. Trend analysis
- 3. Dashboard and reporting
|
| Topic 4: Solution Design and Best Practices | 10% | - Implementation Best Practices
- 1. Maintenance and monitoring
- 2. Testing and validation
- 3. Deployment strategies
- Architecture Design
- 1. Scalability and performance
- 2. End-to-end solution design
- 3. Error handling and exception management
|
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. 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 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.
B) 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.
C) It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
D) It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.
2. What are the available options for Scoring in Document Manager, that apply only to string content type?
A) Exact match and Phonetic matching.
B) Exact match and Naive string search.
C) Exact match and Levenshtein.
D) Exact match and Finite state automation-based search.
3. Which of the following extractors can be used for Data Extraction Scope activity?
A) Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.
B) Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
C) Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
D) Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
4. Which are the the minimum required inputs in order to configure the Validation Station as an attended activity?
A) Taxonomy, Document Object Model, Automatic Extraction Results. Document Directory.
B) Taxonomy, Document Path, Document Object Model, Document Text, Automatic Extraction Results.
C) Taxonomy, Document Path, Document Object Model, Document Type. Document Text.
D) Taxonomy, Document Path, Document Type, Document Text, Automatic Extraction Results.
5. What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?
A) Monitor model performance and receive recommendations.
B) View, save, and modify dataset model versions.
C) Access detailed, queryable charts, statistics, and customizable dashboards.
D) Train models using unsupervised learning.
Solutions:
Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |