UiPath Specialized AI Associate Exam UiPath-SAIAv1 (UiPath-SAIAv1) - UiPath Actual Exam Questions
Last updated on May 13, 2026
Which of the following extractors can be used for Data Extraction Scope activity?
Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.
Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
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Having the taxonomy in a file, shared and updated across multiple projects, what is the most convenient way to load it in a UiPath Studio project?
Using Read Taxonomy activity.
Using DeserializeTaxonomy activity.
Using Load Taxonomy activity.
Using DocumentTaxonomy.Deserialize method inside an Assign activity.
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Which UiPath Studio activity creates a Data Labeling Action in UiPath Action Center?
Create Document Labeling Action activity
Create Labeling Task activity
Create Labeling Action activity
Create External Task activity
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Given the following scenario: • You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1. • You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1. • The business team labeled 800 pages and they ask for an increment of the Model that would contain all 1000+800 pages. What is the first recommended pipeline run configuration to create the new version?
Pipeline type: Full Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages
Pipeline type: Evaluate Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages
Pipeline type: Full Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages
Pipeline type: Training Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 1000+800 Evaluation Dataset: N/A
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What is the definition of Deep Learning?
A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.
An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.
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