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Last Updated: Aug 19, 2026
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| Section | Objectives |
|---|---|
| Topic 1: AI Governance and Best Practices | - Security and compliance considerations - Responsible AI usage in enterprise automation |
| Topic 2: Document Understanding | - Extraction and validation workflows - OCR and document classification |
| Topic 3: UiPath AI Center | - Using AI Center in automation workflows - AI model deployment and lifecycle management |
| Topic 4: AI Fundamentals for Automation | - Machine learning and deep learning basics - Introduction to AI concepts in enterprise automation |
| Topic 5: Generative AI and LLM Integration | - Using LLMs in UiPath automation - Prompt engineering and AI orchestration |
1. Under what condition can a project be deleted in UiPath AI Center?
A) If it does not have any scheduled pipelines.
B) If it does not have any pipeline data.
C) If it does not have any deployed packages.
D) If it does not have any running pipelines.
2. Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?
A) Consider the document types, language, and data quality when choosing an ML Extractor.
It is important to select one that is specifically trained or optimized for the document types being processed.
It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
B) The popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor.
Opt for the ML Extractor that has the highest number of downloads or positive reviews.
C) The cost of the ML Extractor should be the main consideration when choosing an ML Extractor.
Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.
D) The size of the ML Extractor is the most important factor to consider when choosing an ML Extractor.Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.
3. Which filter option should be used for the For Each File in Folder activity to iterate through all the Microsoft Word documents in a local folder?
A) "* doc, *docx"
B) "* doc"
C) Microsoft Word
D) ".doc"
4. In the general fields training, what actions does the Communications Mining Train feature guide you through?
A) It guides you to start entity training without a dataset.
B) It guides you right from the moment you create a dataset with the next best action to take to advance your general fields training.
C) It guides you to focus solely on model refinement.
D) It guides you through the completion of model training before starling entity training.
5. The "Train" stage from Document Understanding Framework usually comes after?
A) Digitization.
B) Classification.
C) Extraction.
D) Validation.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |
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