UiPath UiPath-SAIAv1 Exam Information and Actual Questions

  • Exam Code/Number: UiPath-SAIAv1
  • Exam Name/Title: UiPath Specialized AI Associate Exam (2023.10)
  • Certification Provider: UiPath
  • Corresponding Certification: UiPath Specialized AI Associate
  • Exam Questions: 250
  • Updated On: Jun 17, 2026

UiPath-SAIAv1
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UiPath
UiPath-SAIAv1 Exam
UiPath Specialized AI Associate Exam (2023.10)

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UiPath UiPath-SAIAv1 Exam Overview:

Certification Vendor:UiPath
Exam Name:UiPath Specialized AI Associate Exam (2023.10)
Exam Number:UiPath-SAIAv1
Exam Price:$150 USD
Passing Score:70%
Exam Format:Multiple Choice, Scenario-Based
Real Exam Qty:45-60
Related Certifications:UiPath Certified Professional Specialized AI Associate
Certificate Validity Period:3 years
Available Languages:English, Japanese
Exam Duration:90 minutes
Sample Questions:UiPath UiPath-SAIAv1 Sample Questions
Exam Way:Online proctored exam or test center delivery through Pearson VUE
Pre Condition:No prerequisite exams or certifications required
Official Syllabus URL:https://www.uipath.com/learning/certification

UiPath UiPath-SAIAv1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • UiPath Communications Mining - Taxonomy Design: This section of the exam measures skills of RPA developers and covers how to design a taxonomy for Communications Mining, enabling models to interpret and structure data effectively during classification and automation processes.
Topic 2
  • Logging: This section of the exam measures skills of automation analysts and covers interpretation of robot execution logs and the application of logging best practices to support auditability, diagnostics, and monitoring.
Topic 3
  • Environments, Applications, and
  • or Tools: This section of the exam measures skills of RPA developers and covers the candidate’s comfort level with common development tools, platforms, and environments such as Excel, Outlook, browsers, version control, Studio, Document Understanding Template, AI Center, and Communication Mining.
Topic 4
  • Exception Handling: This section of the exam measures skills of RPA developers and covers structured error handling using Try Catch, Throw, Rethrow, and Retry Scope. It prepares the candidate to handle and resolve automation errors gracefully.
Topic 5
  • Data Manipulation: This section of the exam measures skills of RPA developers and covers data handling with VB.Net string functions, RegEx patterns, arrays, lists, and dictionaries. It also covers DataTable operations such as building, filtering, and converting data for automation.
Topic 6
  • Email Automation: This section of the exam measures skills of RPA developers and covers automating email processes using Microsoft 365 and Gmail integrations. It focuses on sending, receiving, and managing emails as part of workflow automation.
Topic 7
  • Studio Interface: This section of the exam measures skills of RPA developers and covers essential navigation and setup within UiPath Studio. It includes installing Studio, connecting to Orchestrator, navigating the interface, managing packages, configuring activity settings, and publishing processes to Orchestrator.
Topic 8
  • Control Flow: This section of the exam measures skills of RPA developers and covers debugging methods and logic handling in projects. It introduces the use of breakpoints, tracepoints, and debugging panels for managing and improving workflow execution.
Topic 9
  • Updates Introduced to 2023.10: This section of the exam measures skills of automation analysts and covers the most recent product updates in UiPath, including one-click classification and extraction, Generative AI features, and enhancements to validation, annotation, and workflow design.
Topic 10
  • UiPath Communications Mining - Model Training: This section of the exam measures skills of automation analysts and covers model training concepts in Communications Mining, explaining what defines a strong model and outlining the stages and components involved in developing one.
Topic 11
  • Variables and Arguments: This section of the exam measures skills of automation analysts and covers the creation and management of variables and arguments. It introduces key data types and explains how to apply variables and arguments across workflows to pass, store, and manipulate data.
Topic 12
  • UiPath AI Center: This section of the exam measures skills of automation analysts and covers the basics of UiPath AI Center, its role in applying machine learning to automation, and the industries where AI models can be applied effectively.
Topic 13
  • Integration Service: This section of the exam measures skills of automation analysts and covers the use of UiPath Integration Service, its connectors, and triggers, showing how these elements enable smooth interaction between UiPath and third-party systems.
Topic 14
  • Business Knowledge: This section of the exam measures skills of automation analysts and covers the fundamental understanding of business process automation, its value in real-world operations, and essential concepts used to identify, map, and analyze business processes.
Topic 15
  • Working with Files and Folders: This section of the exam measures skills of automation analysts and covers creating and managing files and folders within local directories, including iteration and file manipulation using Studio activities.
Topic 16
  • UiPath Communications Mining: This section of the exam measures skills of RPA developers and covers the application of Communications Mining in automation and analytics. It distinguishes this capability from Task Mining and Process Mining, explains the interface, and describes use cases.

Reference: https://start.uipath.com/rs/995-XLT-886/images/UiPath%20Certified%20Professional%20-%20Specialized%20AI%20Associate%20v1.0%20Exam%20Description.pdf?version=1



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