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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Governance and Best Practices | - Responsible AI usage in enterprise automation - Security and compliance considerations |
| Topic 2: AI Fundamentals for Automation | - Machine learning and deep learning basics - Introduction to AI concepts in enterprise automation |
| Topic 3: Generative AI and LLM Integration | - Using LLMs in UiPath automation - Prompt engineering and AI orchestration |
| Topic 4: Document Understanding | - OCR and document classification - Extraction and validation workflows |
| Topic 5: UiPath AI Center | - AI model deployment and lifecycle management - Using AI Center in automation workflows |
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
1. Which generic ML Package should be used when the document type you are using is not part of the out of the box models?
A) DocumentMLPackage
B) DocumentClassifier
C) Document
D) DocumentUnderstanding
2. Which of the following statements best defines Dashboards in UiPath Communications Mining?
A) Dashboards are used for monitoring label and entity performance.
B) Dashboards are a tool used for monitoring the performance of live communications channel integrations.
C) Dashboards are fully customizable pages containing relevant charts and visuals for a specific dataset.
D) Dashboards are pre-set visual displays for each dataset that can be modified only by admins.
3. What is the Machine Learning Extractor?
A) A tool using machine learning models to identify and report on data targeted for data extraction.
B) A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
C) A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
D) An extraction model that can be enabled and trained in Al Center. For better accuracy. 25 documents per model are recommended to train the model.
4. Which OCR (Optical Character Recognition) option is recommended to be initially utilized for document processing in a project?
A) UiPath Document OCR.
B) Tesseract OCR.
C) UiPath CJK (for Chinese. Japanese. Korean).
D) OmniPage.
5. For what type of documents is it recommended to use the RegEx Based Extractor?
A) For structured or semi-structured documents in which layouts of different document providers have little to no variation.
B) For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.
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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: D |
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