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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: UiPath Document Understanding | 40% | - Document Understanding Framework
- 1. Taxonomy definition and management
- 2. Configure Document Understanding activities
- 3. Data extraction and validation
- ML Models
- 1. Train and deploy ML models
- 2. Configure classification and extraction
- 3. Out-of-the-box models
|
| Topic 2: UiPath Communications Mining | 30% | - Actionable Insights
- 1. Prioritization and routing
- 2. Dashboard and reporting
- 3. Trend analysis
- Communications Mining Fundamentals
- 1. Define taxonomy and labels
- 2. Configure data sources
- 3. Train and evaluate models
|
| Topic 3: 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
|
| Topic 4: UiPath AI Center | 20% | - Integration
- 1. Pipeline management
- 2. Data management
- 3. Connect with UiPath Studio
- ML Model Management
- 1. Retrain and versioning
- 2. Deploy and manage ML models
- 3. Monitor model performance
|
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. For what type of documents is it recommended to use the RegEx Based Extractor?
A) For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.
B) For structured or semi-structured documents in which layouts of different document providers have little to no variation.
C) For structured or semi-structured documents in which layouts of different document providers vary greatly.
D) For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.
2. What information is required when creating a data labeling session?
A) Data labeling name, dataset. and Al Center project.
B) Data labeling session name and dataset.
C) Dataset and Al Center project.
D) Data labeling name, language, and number of documents.
3. What will be displayed in the Output panel after running the workflow below?

A) Status is Pending.
B) Status is Unknown.
C) Status is New.
D) Status not valid.
4. Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?
A) Underperforming labels.
B) Coverage.
C) Balance.
D) Average label performance.
5. What is the primary function of the Wait for Classification Validation Task and Resume activity In UiPath's Document Understanding Framework?
A) It automatically validates classified data without human intervention, expediting document processing by removing the need for manual review and correction.
B) It suspends the workflow until a specified document validation action is completed, ensuring human review and correction.
C) It initiates the classification process for documents across different platforms, ensuring consistent and accurate document organization and categorization.
D) It prioritizes actions in Action Center based on document classification results, optimizing task management and allocation according to the importance of document classifications.
Solutions:
Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |