Use this quick start guide to collect all the information about UiPath UiSAIA Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the UiPath Specialized AI Associate (UiSAIA) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual UiPath Certified Professional Specialized AI Associate (UiSAIA) certification exam.
The UiPath UiSAIA certification is mainly targeted to those candidates who want to build their career in Specialized AI domain. The UiPath Certified Professional Specialized AI Associate (UiSAIA) exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of UiPath UiSAIA.
UiPath UiSAIA Exam Summary:
| Exam Name | UiPath Certified Professional Specialized AI Associate (UiSAIA) |
| Exam Code | UiSAIA |
| Exam Price | $150 (USD) |
| Duration | 90 mins |
| Number of Questions | 60 |
| Passing Score | 70% |
| Books / Training | Specialized AI Associate Training |
| Schedule Exam | Pearson VUE |
| Sample Questions | UiPath UiSAIA Sample Questions |
| Practice Exam | UiPath UiSAIA Certification Practice Exam |
UiPath UiSAIA Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Business Knowledge |
- Describe what business process automation is and what value it brings - Identify and describe key concepts related to business processes. |
| Platform Knowledge |
- List and describe high level the use of UiPath products (Including Studio Types, Robot Types, Orchestrator, Integration Service). - Explain the difference between Attended and Unattended processes. |
| Studio Interface |
- Install Studio and connect to Orchestrator. - Use the options available in the Studio Backstage view. - Describe the elements on the Studio Interface. - Use the Manage Packages feature to find, install, update and remove packages. - Use Activity Project Settings - Publish a process to Orchestrator. |
| Variables and Arguments |
- Explain what data types are and how they are used. - Create, manage and use variables. - Create, manage and use In, Out and In/Out arguments. - Explain the difference between variables, arguments |
| Control Flow |
- Use debug modes, debug actions and the debug ribbon options to debug a file or the entire project. - Use simple and conditional breakpoints and simple and conditional tracepoints. - Describe and use all debugging panels. |
| Debugging |
- Describe what the Document Understanding Process template is. - Explain the architecture of the Document Understanding Process - Explain the exception handling within the automation solution. - Explain Classification/Extraction Validation - Explain the Post Processing implementation. - Explain the Locking mechanisms in the Document Understanding Process - Explain the Test implementation in the Document Understanding Process - Explain the importance of Export/End Process - Explain the best practices regarding Data Export - Explain the Config file - Explain Main-Action Center & Main-Attended |
| Exception Handling | - Use Try Catch, Throw, Rethrow and Retry Scope. |
| Logging |
- Describe and interpret robot execution logs. - Apply logging best practices during development |
| Email Automation |
- Get, Send and Manage Microsoft and Gmail Integration Emails. - Use Microsoft 365 and Gsuite packages. |
| Working with Files and Folders | - Create, manage and iterate through local files and folders. |
| Data Manipulation |
- Use VB.Net methods to perform string manipulation: Trim, ToLower, ToUpper, StringConcat, Contains, String,Format,IndexOf, LastIdexOf, String.Join, Replace, Split, Substring. - Use the RegEx Builder for string manipulation. - Initialize an Array variable, iterate through an array, reference elements, replace them and convert arrays of type string to string. - Initialize a List type, iterate through it and use Studio activities to add, remove and modify the elements of the collection. - Explain what the difference is between the Array type and the List type. - Initialize a dictionary, add key-value pairs, remove keys and retrieve values. - Use UiPath activities to build, filter, join, merge and iterate through DataTables. - Perform conversions between the data types. |
| Version Control Integration | - Use the Studio Git integration to add a project, clone a repository, commit, push, use show changes |
| Workflow Analyzer | - Use Workflow Analysis and Validation at file and project level. |
| Implementation Methodology |
- Describe the project implementation stages. - Interpret PDDs and SDDs. |
| Orchestrator |
- Describe Orchestrator Entities (Robot, Folder, Package, Process, Job, Heartbeat), Teanant Entities (User, Machine, License, Webhook, Alerts) and Folder Entities (Assets, Storage Buckets, Queues, Triggers, Credential Stores) - Use Tenant Entities (User, Machine, License) and Folder Entities (Assets, Storage Buckets, Queues) - Provision Robots. - Use Personal Workspaces. - Define Roles and Permissions. - Use Orchestrator Logging features. |
| Integration Service |
- Explain what Integration Service is. - Use Integration Service Connectors and Triggers in an automation project. |
| UiPath Document Understanding |
- Define what UiPath Document Understanding is. - Distinguish between structured, unstructured, and semi-structured documents that can be processed with Document Understanding. - Differentiate between the two common types of data extraction methodologies: rule-based and model-based. - Differentiate between OCR and Document Understanding. |
| UiPath Document Understanding Framework |
- Describe the stages of the Document Understanding Framework. - Use the Document Understanding Framework to build document processing workflows in UiPath Studio. - Describe what the Document Understanding Process template is. - Build POCs and automation components for Document Understanding template (but not a robust and complete Document Understanding process) |
| UiPath Studio - Document Understanding Activities |
- Select and install the Studio Intelligent OCR package activities used for information extraction. - Use the Taxonomy Manager to create a taxonomy for the project. - Load the taxonomy in a variable to be used in conjunction with other activities. - Digitize scanned or digital documents using the Digitize Document activity. - Classify the scope of documents using Classify Document Scope activity and the Classifiers Wizard. - Extract data from the documents using relevant Studio Activities, extractors, and Configure Extractors Wizard. - Distinguish between different types of extractors based on the structure of documents. - Select and configure pre-trained or newly trained Machine Learning extractor for data extraction. - Use the Validation Station to review and correct document classification and automatic data extraction results. - Define how to export data (from Studio). - Export Extraction Results using relevant Studio Activities. |
| UiPath AI Center |
- Define what UiPath AI Center is. - Describe conceptually how machine learning works. - List the applications of machine learning across different industries. |
| UiPath Communications Mining |
- Distinguish between Communications Mining, Process Mining and Task Mining. - Describe how UiPath Communications Mining works. - Distinguish between the two most common scopes of using UiPath Communications Mining (Analytics, Automation). - Distinguish between optimal and sub-optimal data types that Communications Mining can interpret and add structure to. - Explain how UiPath Communications Mining and RPA can work together (including DU). - Describe the Communications Mining user interface elements (admin and project views). |
| UiPath Communications Mining - Model Training |
- Explain, at a minimum, what describes a high performing model. - Explain messages, labels, general fields, metadata, and how to use them. - List and correctly order the stages of the Communications Mining Process. |
| UiPath Communications Mining - Taxonomy Design | - Describe the 'Taxonomy Design' phase of the model training process. |
To ensure success in UiPath UiSAIA certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for UiPath Specialized AI Associate (UiSAIA) exam.