Free UiPath UiPath-SAIv1 Exam Actual Questions

The questions for UiPath-SAIv1 were last updated On Jun 15, 2025

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Question No. 1

What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?

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Correct Answer: C

When you create a training dataset for document classification or data extraction, you need to split your documents into two subsets: one for training the model and one for evaluating the model. The training subset is used to teach the model how to recognize the patterns and features of your document types and fields. The evaluation subset is used to measure the performance and accuracy of the model on unseen data.The evaluation subset should not be used for training, as this would bias the model and overfit it to the data1.

The recommended split of documents for training and evaluation depends on the size and diversity of your data. However, a general guideline is to use a 70/30 or 80/20 ratio, where 70% or 80% of the documents are used for training and 30% or 20% are used for evaluation. This ensures that the model has enough data to learn from and enough data to test on. For example, if you have 15 documents per vendor, you can use 10 documents for training and 5 documents for evaluation. This would give you a 67/33 split, which is close to the 70/30 ratio.You can also use the Data Manager tool to create and manage your training and evaluation datasets2.

References:1: Document Understanding - Training High Performing Models2: Data Manager - Creating a Dataset


Question No. 2

Which of the following file types are supported for the DocumentPath property in the Classify Document Scope activity?

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Correct Answer: B

According to the UiPath documentation portal1, the DocumentPath property in the Classify Document Scope activity accepts the path to the document you want to validate. This field supports only strings and String variables. The supported file types for this property field are .png, .gif, .jpe, .jpg, .jpeg, .tiff, .tif, .bmp, and .pdf. Therefore, option B is the correct answer, as it contains four of the supported file types. Option A is incorrect, as .psd is not a supported file type. Option C is incorrect, as .raw is not a supported file type. Option D is incorrect, as .eps is not a supported file type.

References:1Activities - Classify Document Scope - UiPath Documentation Portal


Question No. 3

What is the definition of a UiPath Communications Mining data source?

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Correct Answer: A

According to the UiPath documentation, a data source is a raw collection of verbatims, which are text-based communications such as survey responses, emails, transcripts, or calls1.A data source can be of a similar type and share a similar intended purpose, such as capturing customer feedback or servicing requests2.A data source can be added to up to 10 different datasets, which are collections of sources and labels that are used to train and evaluate ML models3. Therefore, the correct definition of a UiPath Communications Mining data source is A.

References:

1:Communications Mining - Sources2:Communications Mining - Managing Sources and Datasets3:Communications Mining - Understanding the data structure and permissions


Question No. 4

When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?

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Correct Answer: B

Based on the classification of documents, there are two common types of data extraction methodologies: rule-based data extraction and model-based data extraction1.Rule-based data extraction targets structured documents, while model-based data extraction is used to process semi-structured and unstructured documents1. However, neither of these methods alone can handle the high variety of layouts that some document types may have.Therefore, a hybrid data extraction approach is recommended, which combines the strengths of both methods and allows for more flexibility and accuracy23.A hybrid data extraction approach can use one or more extractors, such as RegEx Based Extractor, Form Extractor, Intelligent Form Extractor, Machine Learning Extractor, or FlexiCapture Extractor, depending on the document type and the fields of interest3.The Data Extraction Scope activity in UiPath enables the configuration and execution of a hybrid data extraction methodology, by allowing the user to customize which fields are requested from each extractor, what is the minimum confidence threshold for a given data point extracted by each extractor, what is the taxonomy mapping, at field level, between the project taxonomy and the extractor's internal taxonomy (if any), and how to implement ''fall-back'' rules for data extraction2.

References:2:Data Extraction Overview3:Data Extraction1:Document Processing with Improved Data Extraction


Question No. 5

Who is responsible for devising a strategy to prioritize processes during the Business Case and Technical Validation phase?

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Correct Answer: B

The Solution Architect is responsible for devising a strategy to prioritize processes during the Business Case and Technical Validation phase. Their role involves assessing technical feasibility, scalability, and business value to determine process prioritization.


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