Updated Jul-2025 Pass UiPath-SAIAv1 Exam – Real Practice Test Questions [Q61-Q84]

Q61. Which are the the minimum required inputs in order to configure the Classification Station as an attended activity?

Taxonomy, Document Object Model, Automatic Extraction Results, Document Directory.

Taxonomy, Document Path, Document Object Model, Document Text, Automatic Classification Results.

Taxonomy, Document Path, Document Directory, Document Text, Automatic Extraction Results.

Taxonomy, Document Path, Document Object Model, Document Text.

Q62. Which of the following are the two key categories that use cases for UiPath Communications Mining typically fall into?

Research and Development

Communication and Collaboration

Customer Support and Marketing

Analytics and Automation

Q63. What is the primary function of the Wait for Classification Validation Task and Resume activity In UiPath’s Document Understanding Framework?

It prioritizes actions in Action Center based on document classification results, optimizing task management and allocation according to the importance of document classifications.

It initiates the classification process for documents across different platforms, ensuring consistent and accurate document organization and categorization.

It automatically validates classified data without human intervention, expediting document processing by removing the need for manual review and correction.

It suspends the workflow until a specified document validation action is completed, ensuring human review and correction.

Q64. Which of the following use cases is best suited for tone analysis instead of label sentiment analysis in UiPath Communications Mining?

Analyzing customer complaints in a B2C organization.

Analyzing employee engagement survey responses.

Analyzing customer satisfaction survey responses.

Monitoring “Quality of Service” in an operations-focused shared mailbox in a B2B organization.

Q65. How is the Taxonomy component used in the Document Understanding Template?

To define the document types and the pieces of information targeted for data extraction (fields) for each document type.

To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.

To organize knowledge by using a controlled vocabulary to make it easier to find related information.

To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

Q66. What rule should be used in Taxonomy Manager for a text field that can have one of multiple known values?

Ends with

Contains

Possible values

Starts with

Q67. Which features in Generative Annotation are automatically enabled on datasets in Communication Mining technology?

Taxonomy Uploading

Assisted Labelling

Preview Mode

Sentiment Analysis

Q68. What is the correct execution order of the Document Understanding template stages?
Instructions: Drag the stages found on the “Left” and drop them on the “Right” in the correct order.

Explanation:
The correct execution order of the Document Understanding template stages is:
Taxonomy
Digitize
Classify
Extract
Extraction Validation
Export
Comprehensive and Detailed Explanation: The Document Understanding template stages are based on a document processing flowchart that follows these steps:
First, you need to define the Taxonomy of the document types and fields that you want to process and extract information from. This is done using the Taxonomy Manager in UiPath Studio1.
Next, you need to Digitize the input documents, which can be in various formats such as PDF, image, or text. This is done using the Digitize Document activity, which converts the documents into a machine- readable format and performs OCR if needed2.
Then, you need to Classify the digitized documents into the predefined document types in your taxonomy. This is done using the Classify Document Scope activity, which can use various classifiers such as Keyword Based Classifier, Machine Learning Classifier, or Intelligent Form Extractor3.
After that, you need to Extract the relevant information from the classified documents based on the fields in your taxonomy. This is done using the Data Extraction Scope activity, which can use various extractors such as Regex Based Extractor, Machine Learning Extractor, or Form Extractor.
Next, you need to perform Extraction Validation to review and correct the extracted information, either manually or automatically. This is done using the Present Validation Station activity, which can use either the Validation Station or the Action Center for human-in-the-loop validation.
Finally, you need to Export the validated information to the desired output location, such as a file, a database, or a queue. This is done using the Export Extraction Results activity, which can use various exporters such as Excel Exporter, CSV Exporter, or Queue Item Exporter.
References:
UiPath Studio – Taxonomy Manager
UiPath Activities – Digitize Document
UiPath Activities – Classify Document Scope

Q69. In UiPath Communications Mining, what does the Reports section contain?

Tools for evaluating model performance.

Tools for evaluating label and entity performance.

Tools for comparing different model versions.

Tools for message analytics and monitoring.

Q70. What is the difference in scope between variables and arguments in UiPath?

Variables can only be used within the main workflow, while arguments can only be used within invoked workflows.

Variables are used for input data, while arguments are used for output data.

Variables have a limited scope within a specific workflow or sequence, while arguments are used to pass data between workflows.

Variables are global and arguments are local.

Q71. How long does the typical Machine Learning model deployment process take in UiPath AI Center?

Less than 5 minutes.

Between 5 and 10 minutes.

Between 10 and 15 minutes.

More than 15 minutes.

Q72. What is the primary metric used to calculate the score for the All Labels performance factor in UiPath Communications Mining?

Mean Average Precision.

Number of labels.

Volume of data uploaded.

Number of annotations.

Q73. Having the following list of documents:
Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg, Invoice5.docx
Please choose all the files that can be used in the DocumentPath property of the Classify Document Scope activity.

Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg

Invoice1.pdf, Invoice3.gif, Invoice4.jpg

Invoice1.pdf, Invoice4.jpg, Invoice5.docx

Invoice1.pdf, Invoice3.gif, Invoice5.docx

Q74. What is the page unit cost per extracted page for the RegEx Extractor?

0

0.2

0.5

1

Q75. What happens to your document and the process of pre-labeling when you choose the “Predict” option from the “Predict” dropdown in Document Manager?

It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.

It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.

It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.

It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.

Q76. Which of the following scenarios is a good candidate for using Document Understanding Cloud APIs with synchronous calls?

You need to process documents larger than five pages.

You need real-time interaction and you are only processing documents with maximum five pages.

You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.

You have a large dataset that needs long-term processing.

Q77. 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 mimicsbiological neural networks.

Q78. What information should be provided when adding a classification label for the OOB (Out Of the Box) labeling template?

Name, Classification type. Input to be labeled. Attribute name. Shortcut, and Color.

Name, Input to be labeled. Attribute name, and Shortcut.

Name, Classification type, Attribute name, and Shortcut.

Name, Classification Type. Attribute name. Color, and Shortcut.

Q79. When using UiPath Studio’s publishing options, which location(s) can automation projects be published to?

Orchestrator, Locally, and Git repository.

Orchestrator, Locally, and SharePoint.

Orchestrator, Locally, and Custom NuGet feed.

Custom NuGet feed, Cloud-based storage, and SharePoint.

Q80. What does the Document Classification step do?

Identifies what type of document the robot is currently processing.

Presents a document processing-specific user interface for validating and correcting automatic classification outputs.

Empowers the closing of the feedback loop to any classification algorithm capable of learning.

Retrieves the text from any PDF or image, using, only if necessary, the OCR engine.

Q81. How can a Pipeline be scheduled?

A Pipeline can be scheduled at multiple future dates or with a recurring schedule.

A Pipeline can be scheduled at a single future date.

A Pipeline can be scheduled with a recurring schedule.

A Pipeline can be scheduled at a single future date or with a recurring schedule.

Q82. Which activity enables the identification of the document type by using any classifier?

Digitize Document activity.

Train Classifiers Scope activity.

Present Classification Station activity.

Classify Document Scope activity.

Q83. What information does the comparison between two cohorts display on the Comparison page in UiPath Communications Mining?

Total verbatim count and proportion for each label.

Entity count for each metadata.

Verbatim content for each label.

Differences in verbatim length between Group A and Group B.

Q84. Given the following variable assignments:

outputX = If(CInt(doubleX + CDbl(intX) + CDbl(stringX)) > 38.30, 1, 0)
What will be the output of the conditional?

0

1

Compilation Error

Error During Runtime

Updated Jul-2025 Pass UiPath-SAIAv1 Exam – Real Practice Test Questions [Q61-Q84]

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