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Top Study Resources & Exam Questions to Master the UiSAIA Exam

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Top Study Resources & Exam
Questions to Master the UiSAIA
Exam
Solve UiPath UiSAIA Practice Tests to Score High!
Check out all the essential details to ace the UiSAIA exam on your first attempt here:
https://bit.ly/4h5zMaf. Say goodbye to your worries and find everything you need in one
place—syllabus details, study guides, practice tests, recommended books, and study
materials. Strengthen your knowledge of syllabus domains and make earning the UiPath
Certified Professional Specialized AI Associate (UiSAIA) certification a breeze.
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How to Earn the UiPath Certified
Professional Specialized AI Associate
(UiSAIA) Certification on Your First
Attempt?
Earning the UiPath UiSAIA certification is a dream for many candidates. But, the
preparation journey feels difficult to many of them. Here we have gathered all the
necessary details like the syllabus and essential UiSAIA sample questions to get
to the UiPath Certified Professional Specialized AI Associate certification on the
first attempt.
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UiPath UiSAIA 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
Let’s Explore the UiPath UiSAIA Exam Syllabus in Detail:
Topic
Details
- Describe what business process automation is and what value it
brings
Business Knowledge
- Identify and describe key concepts related to business
processes.
- List and describe high level the use of UiPath products (Including
Studio Types, Robot Types, Orchestrator, Integration Service).
Platform Knowledge
- Explain the difference between Attended and Unattended
processes.
- Install Studio and connect to Orchestrator.
- Use the options available in the Studio Backstage view.
- Describe the elements on the Studio Interface.
Studio Interface
- Use the Manage Packages feature to find, install, update and
remove packages.
- Use Activity Project Settings
- Publish a process to Orchestrator.
- Explain what data types are and how they are used.
Variables and
- Create, manage and use variables.
Arguments
- Create, manage and use In, Out and In/Out arguments.
- Explain the difference between variables, arguments
- Use debug modes, debug actions and the debug ribbon options
to debug a file or the entire project.
Control Flow
- Use simple and conditional breakpoints and simple and
conditional tracepoints.
- Describe and use all debugging panels.
- Describe what the Document Understanding Process template
is.
Debugging
- Explain the architecture of the Document Understanding Process
- Explain the exception handling within the automation solution.
- Explain Classification/Extraction Validation
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Topic
Exception Handling
Logging
Email Automation
Working with Files
and Folders
Data Manipulation
Version Control
Integration
Workflow Analyzer
Implementation
Methodology
Orchestrator
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Details
- 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
- Use Try Catch, Throw, Rethrow and Retry Scope.
- Describe and interpret robot execution logs.
- Apply logging best practices during development
- Get, Send and Manage Microsoft and Gmail Integration Emails.
- Use Microsoft 365 and Gsuite packages.
- Create, manage and iterate through local files and folders.
- 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.
- Use the Studio Git integration to add a project, clone a
repository, commit, push, use show changes
- Use Workflow Analysis and Validation at file and project level.
- Describe the project implementation stages.
- Interpret PDDs and SDDs.
- 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.
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Topic
Integration Service
UiPath Document
Understanding
UiPath Document
Understanding
Framework
UiPath Studio Document
Understanding
Activities
UiPath AI Center
UiSAIA
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Details
- Use Personal Workspaces.
- Define Roles and Permissions.
- Use Orchestrator Logging features.
- Explain what Integration Service is.
- Use Integration Service Connectors and Triggers in an
automation project.
- Define what UiPath Document Understanding is.
- Distinguish between structured, unstructured, and semistructured 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.
- 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)
- 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.
- Define what UiPath AI Center is.
- Describe conceptually how machine learning works.
- List the applications of machine learning across different
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Topic
UiPath
Communications
Mining
UiPath
Communications
Mining - Model
Training
UiPath
Communications
Mining - Taxonomy
Design
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Details
industries.
- 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).
- 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.
- Describe the 'Taxonomy Design' phase of the model training
process.
Experience the Actual Exam Structure with UiPath UiSAIA
Sample Questions:
Before jumping into the actual exam, it is crucial to get familiar with the exam
structure. For this purpose, we have designed real exam-like sample questions.
Solving these questions is highly beneficial to getting an idea about the exam
structure and question patterns. For more understanding of your preparation
level, go through the UiSAIA practice test questions. Find out the beneficial
sample questions below -
Answers for UiPath UiSAIA Sample Questions
01. What Source Control Plugins are integrated in UiPath Studio?
a) GIT, CVS, Mercurial
b) GIT, SVN, CVS, TFS
c) GIT, TFS, Azure DevOps
d) GIT, SVN, TFS
UiSAIA
Answer: d
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02. What is the name of the UiPath Studio panel where you build automation by
inserting and managing activities?
a) Properties
b) Automation
c) Object Repository
d) Project
e) Designer
Answer: e
03. How can UiPath Communications Mining insight and analytics benefit
operational leaders?
a) It can provide the number of hours each team member works on emails per day.
b) It can provide sales conversion figures.
c) It can enable accurate capacity planning by measuring and tracking contact reasons
and volume spikes.
d) It can advise which team members are taking extra coffee breaks.
Answer: c
04. An automation professional needs to analyze a specific task performed by a
group of 20 users and discover automation and process improvement
opportunities. Which UiPath solution is most suited for capturing each action
performed by the end-users (mouse clicks, keystrokes, and hotkeys), and
identifying variations and repetitive activities?
a) UiPath Document Understanding.
b) UiPath Communications Mining.
c) UiPath Process Mining.
d) UiPath Task Mining.
Answer: d
05. Which of the following is a characteristic of a high-performing model in UiPath
Communications Mining?
a) Less than 1% of the data has been reviewed by a model trainer.
b) The model makes correct predictions across the majority of the dataset.
c) The model has a low balance score.
d) Many of the labels in the taxonomy have fewer than 25 training examples.
UiSAIA
Answer: b
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06. An automation professional needs to use a high volume of customer support
tickets and find intents, themes, and sentiments in the communication. Which
UiPath solution is most suitable in this scenario?
a) UiPath Communications Mining
b) UiPath Process Mining
c) UiPath Task Mining
d) UiPath Document Understanding
Answer: a
07. In UiPath Communications Mining, what is the primary focus of the "Refine"
phase in the model training process?
a) Deleting unnecessary labels.
b) Improving model performance and resolving issues.
c) Grouping intents and conversation themes.
d) Applying labels to messages.
Answer: b
08. Where can you enable/disable Source Control Plugins individually?
a) Home > Team > Plugins
b) Home > Templates > Plugins
c) Home > Tools > Plugins
d) Home > Team > Source Control > Plugins
Answer: c
09. During which stage does an automation developer have the greatest
contribution and responsibility?
a) In the Development and Unit Testing, Integration and UAT, and Deployment and
Hypercare stages.
b) In the Discovery and Kickoff, Development and Unit Testing, and Deployment and
Hypercare stages.
c) In the Process Analysis, Solution Design, and Development and Unit Testing stages.
d) In the Solution Design, Development and Unit Testing, and Deployment and
Hypercare stages.
Answer: a
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10. Which technology enables UiPath Communications Mining to analyze and
enable action on messages?
a) Cloud Computing.
b) Robotic Process Automation (RPA).
c) Natural Language Processing (NLP).
d) Virtual Reality.
UiSAIA
Answer: c
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