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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| UiPath AI Center | 20% | - Integration
- 1. Connect with UiPath Studio
- 2. Pipeline management
- 3. Data management
- ML Model Management
- 1. Deploy and manage ML models
- 2. Retrain and versioning
- 3. Monitor model performance
|
| Solution Design and Best Practices | 10% | - Implementation Best Practices
- 1. Deployment strategies
- 2. Testing and validation
- 3. Maintenance and monitoring
- Architecture Design
- 1. Scalability and performance
- 2. End-to-end solution design
- 3. Error handling and exception management
|
| UiPath Document Understanding | 40% | - ML Models
- 1. Out-of-the-box models
- 2. Configure classification and extraction
- 3. Train and deploy ML models
- Document Understanding Framework
- 1. Configure Document Understanding activities
- 2. Taxonomy definition and management
- 3. Data extraction and validation
|
| UiPath Communications Mining | 30% | - Communications Mining Fundamentals
- 1. Configure data sources
- 2. Define taxonomy and labels
- 3. Train and evaluate models
- Actionable Insights
- 1. Prioritization and routing
- 2. Dashboard and reporting
- 3. Trend analysis
|
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. Which activity enables the identification of the document type by using any classifier?
A) Train Classifiers Scope activity.
B) Classify Document Scope activity.
C) Present Classification Station activity.
D) Digitize Document activity.
2. What is a reason for pinning a UiPath Communications Mining Model?
A) To allow rollback of annotations to that model version.
B) To force the Ul to show predictions from that model version in explore
C) To allow AB comparing of the statistics of that model version with another one.
D) To delete all other model versions.
3. Which of the following consumes Page Units?
A) Using Intelligent Form Extractor on a 5-page document with 0 successful extractions.
B) Creation of a Document Validation Action in Action Center.
C) Applying OCR on a 10-page document.
D) Using ML Classifier on a 21-page document.
4. What are the two main data extraction methodologies used in document understanding processes?
A) Manual and model-based data extraction.
B) Hybrid and manual data extraction.
C) Rule-based and hybrid data extraction.
D) Rule-based and model-based data extraction.
5. Who is responsible for devising a strategy to prioritize processes during the Business Case and Technical Validation phase?
A) Automation Developer
B) Solution Architect
C) Project Manager
D) Business Analyst
Solutions:
Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B |