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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| UiPath Document Understanding | 40% | - Document Understanding Framework
- 1. Data extraction and validation
- 2. Configure Document Understanding activities
- 3. Taxonomy definition and management
- ML Models
- 1. Configure classification and extraction
- 2. Train and deploy ML models
- 3. Out-of-the-box models
|
| Solution Design and Best Practices | 10% | - Implementation Best Practices
- 1. Maintenance and monitoring
- 2. Testing and validation
- 3. Deployment strategies
- Architecture Design
- 1. Error handling and exception management
- 2. Scalability and performance
- 3. End-to-end solution design
|
| UiPath Communications Mining | 30% | - Communications Mining Fundamentals
- 1. Train and evaluate models
- 2. Define taxonomy and labels
- 3. Configure data sources
- Actionable Insights
- 1. Prioritization and routing
- 2. Dashboard and reporting
- 3. Trend analysis
|
| UiPath AI Center | 20% | - Integration
- 1. Connect with UiPath Studio
- 2. Pipeline management
- 3. Data management
- ML Model Management
- 1. Monitor model performance
- 2. Deploy and manage ML models
- 3. Retrain and versioning
|
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. Which Reports tab do we use to get a high-level overview and statistics on all labels in UiPath Communications Mining?
A) Segments.
B) Label Summary.
C) Dashboards.
D) Trends.
2. What is the primary advantage of the One Click Extraction feature in UiPath's Document Understanding interface?
A) It automates the creation of document extractors by automatically creating Datasets, Pipelines, and ML Skills but requires manual creation of Pipelines.
B) It allows training document extractors without manually creating Datasets, Pipelines, and ML Skills in AI Center.
C) It provides a simplified way to manually create Datasets, Pipelines, and Datasets for document extraction.
D) It allows training document extractors without manually creating Datasets and Pipelines, but you need to manually deploy the ML Skills in AI Center.
3. Which OCR (Optical Character Recognition) option is recommended to be initially utilized for document processing in a project?
A) OmniPage.
B) UiPath CJK (for Chinese. Japanese. Korean).
C) UiPath Document OCR.
D) Tesseract OCR.
4. What information should be provided when adding a classification label for the OOB (Out Of the Box) labeling template?
A) Name, Classification Type. Attribute name. Color, and Shortcut.
B) Name, Classification type, Attribute name, and Shortcut.
C) Name, Input to be labeled. Attribute name, and Shortcut.
D) Name, Classification type. Input to be labeled. Attribute name. Shortcut, and Color.
5. Which features in Generative Annotation are automatically enabled on datasets in Communication Mining technology?
A) Sentiment Analysis
B) Preview Mode
C) Taxonomy Uploading
D) Assisted Labelling
Solutions:
Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |