Real UiPath UiPath-SAIv1 practice exam questions for easy pass!
Last Updated: Sep 05, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Document Understanding | 30% | - Document Understanding Activities
|
| Topic 2: AI Center & ML Integration | 25% | - Deploy and monitor ML models - Integrate AI models with Studio workflows - Model lifecycle management |
| Topic 3: AI-Powered Automation Design | 20% | - Select appropriate AI capabilities for business problems - Apply AI governance and security principles - Design scalable and reliable AI-enabled automation solutions |
| Topic 4: Communications Mining | 25% | - Model training, annotation and refinement - Analyze predictions and improve performance - Taxonomy design and management |
Question 1
Which are all the options for managing ML Skills?
A. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, made public or private, or deleted.
B. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. modified to use or not use Al units, made public or private, or deleted.
C. ML skills can be created, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
D. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
Question 2
What does Data Extraction do?
A. Digitizes the document that should be processed.
B. Identifies and extracts specific information that should be processed.
C. Applies rules for validating that the information extracted from a document is correct.
D. Identifies words and their coordinates from images and PDFs.
Question 3
How do the prediction mechanisms for labels and general fields differ in the UiPath Communications Mining platform?
A. Label predictions rely solely on metadata properties, general fields are learnt from the presence of certain key phrases in the text.
B. Label predictions are made based on the text of the message as well as some metadata properties, while general fields are learnt from the assigned span of text and the context of the text surrounding that span.
C. Labels predictions are based on assigned span of text and entities are predicted solely from metadata properties.
D. Labels and general fields are both predicted based on the text of the message, with no consideration given to metadata properties or contextual surrounding text.
Question 4
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal
A. Sums up the subtotal to the total variable by converting it to CDec
B. Sums up all the line amounts and converts the fields to CDec.
C. Sums up subtotal fields from the config file converted to CDec with the subtotal.
D. Sums up all the line amounts converted to CDec and the subtotal
Question 5
Which is a high-level view of the tabs within an AI Center project?
A. Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.
B. Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.
C. Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.
D. Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: A |
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