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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Generative AI and LLM Integration | - Using LLMs in UiPath automation - Prompt engineering and AI orchestration |
| Document Understanding | - Extraction and validation workflows - OCR and document classification |
| UiPath AI Center | - AI model deployment and lifecycle management - Using AI Center in automation workflows |
| AI Fundamentals for Automation | - Machine learning and deep learning basics - Introduction to AI concepts in enterprise automation |
| AI Governance and Best Practices | - Responsible AI usage in enterprise automation - Security and compliance considerations |
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?
A) Access detailed, queryable charts, statistics, and customizable dashboards.
B) View, save, and modify dataset model versions.
C) Train models using unsupervised learning.
D) Monitor model performance and receive recommendations.
2. What can be found in the Images folder within the exported dataset coming from Document Manager?
A) Each page of the exported documents saved as an image.
B) Each page of the images of exported files.
C) Each page of the images used for schema configuration.
D) Each page of the images of logs.
3. Can you use Queues in the Document Understanding Process?
A) The Document Understanding Process can't use Queues because items waiting for Human Validation for more than 10 days will be marked as Abandoned.
B) The Document Understanding Process can use Queues but the Auto Retry Functionality should be enabled.
C) The Document Understanding Process can't use Queues because items waiting for Human Validation for more than 24h will be marked as Abandoned.
D) The Document Understanding Process can use Queues but the Auto Retry Functionality should be disabled.
4. What additional information can be included in the exported data, apart from the extraction results?
A) The position on the page.
B) The extraction confidence and the digitization confidence.
C) The number of occurrences and the extraction confidence.
D) The page number from which the field was extracted and the exact position on the page.
5. Which of the following scenarios is a good candidate for using Document Understanding Cloud APIs with synchronous calls?
A) You need to process documents larger than five pages.
B) You have a large dataset that needs long-term processing.
C) You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.
D) You need real-time interaction and you are only processing documents with maximum five pages.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |




