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UiPath UiPath-SAIAv1 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	UiPath Document Understanding: This section of the exam measures skills of RPA developers and covers the concepts and capabilities of UiPath Document Understanding, including processing various document types, understanding rule-based and ML-based extraction, and distinguishing DU from traditional OCR.
Topic 4	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 5	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.
Topic 6	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 7	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 8	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 9	Debugging: This section of the exam measures skills of automation analysts and covers debugging within Document Understanding workflows. It explores the template’s architecture, exception handling, validation steps, and post-processing techniques that ensure accuracy and fault tolerance.
Topic 10	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 11	Platform Knowledge: This section of the exam measures skills of RPA developers and covers the high-level purpose and use of UiPath platform components, including Studio, Robots, Orchestrator, and Integration Service. It also explains the difference between attended and unattended processes, providing foundational knowledge of process deployment environments.
Topic 12	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 13	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 14	Workflow Analyzer: This section of the exam measures skills of RPA developers and covers using Workflow Analyzer and validation tools to identify errors, maintain project compliance, and ensure workflow efficiency during development.
Topic 15	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 16	Orchestrator: This section of the exam measures skills of RPA developers and covers Orchestrator's structure and functionality, including entities at the tenant and folder level. It includes using assets, queues, storage buckets, and provisioning robots along with setting up roles and logging.
Topic 17	UiPath Document Understanding Framework: This section of the exam measures skills of automation analysts and covers how to apply the Document Understanding Framework, use templates, and develop proof-of-concept components. It focuses on building workflows for document processing.
Topic 18	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 19	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 20	Implementation Methodology: This section of the exam measures skills of automation analysts and covers project lifecycle knowledge, understanding key stages of implementation, and interpreting Process Design Documents (PDDs) and Solution Design Documents (SDDs).
Topic 21	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 22	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 23	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 24	Version Control Integration: This section of the exam measures skills of automation analysts and covers the use of Git integration in UiPath Studio for source control, including committing changes, cloning repositories, and pushing updates in collaborative environments.

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q145-Q150):

NEW QUESTION # 145
What does adding missed labels help improve in UiPath Communications Mining?

A. Increases the taxonomy coverage.
B. Label precision and recall.
C. Label bias warnings.
D. Increases data security.

Answer: B

Explanation:
Adding missed labels helps improve the label precision and recall in UiPath Communications Mining.
Precision is the percentage of correctly labeled verbatims out of all the verbatims that have the label applied, while recall is the percentage of correctly labeled verbatims out of all the verbatims that should have the label applied. By adding missed labels, you are increasing the recall of the label, as you are reducing the number of false negatives (verbatims that should have the label but do not). This also improves the precision of the label, as you are reducing the noise in the data and making the label more informative and consistent. Adding missed labels is one of the recommended actions that the platform suggests to improve the model rating and performance of the labels.
References: Communications Mining - Training using 'Check label' and 'Missed label', Communications Mining - Model Rating

NEW QUESTION # 146
If you need to retrieve an item based on a corresponding identifier in UiPath, which collection type would you use?

A. ArrayOf<T> or System.DataType[] as it stores indexed values
B. System.Collections.Generic.Dictionary<TKey, TValue> as it stores key-value pairs
C. System.Collections.Generic.List<T> as it stores ordered values
D. System.Collections.Generic.Dictionary<TKey, TValue> as it stores indexed values

Answer: B

Explanation:
Reference: UiPath Dictionaries

NEW QUESTION # 147
What action should be performed to have the Taxonomy Manager button appear on the Ribbon, in the Wizard section?

A. Install a newer version of Studio.
B. Install UiPath.Documentunderstanding.ML.Activities package.
C. Nothing to do, it should be already there.
D. Install UiPath.IntelligentOCR.Activities package.

Answer: D

Explanation:
To enable the Taxonomy Manager button in the Ribbon, the UiPath.IntelligentOCR.Activities package must be installed. This package includes all activities related to Document Understanding, including the Taxonomy Manager.
Reference: UiPath Taxonomy Manager Setup

NEW QUESTION # 148
In a Document Understanding project, the user needs to extract information from PDF documents with the following requirements:
The documents can contain scanned or digitally typed text.
The documents can contain checkboxes, and these must be extracted.
The automation must use the logical processors in the most efficient way to obtain the maximum degree of parallelism.What are the properties provided to the Digitize Document activity in the Digitize phase?

A. ApplyOcrOnPdf -> No DegreeOfParallelism -> True DetectCheckboxes -> True
B. ApplyOcrOnPdf -> Auto DegreeOfParallelism -> Max DetectCheckboxes -> True
C. ApplyOcrOnPdf -> Auto
D. ApplyOcrOnPdf -> Auto DegreeOfParallelism -> -1 DetectCheckboxes -> True
E. ApplyOcrOnPdf -> No DegreeOfParallelism -> -1 DetectCheckboxes -> False

Answer: D

Explanation:
For the described requirements:
ApplyOcrOnPdf set to Auto ensures OCR is applied only when needed.
DegreeOfParallelism set to -1 uses all available logical processors for maximum parallelism.
Reference: UiPath Digitize Document Activity

NEW QUESTION # 149
What are the options available in the Export Now tab of the Export Files dialog box in Document Manager?

A. Download to Excel. Download, and Export to Al Center.
B. Download to Excel and Export All.
C. Export to Al Center, Export All. and Download.
D. Download to Excel. Export to Al Center, and Export All.

Answer: D

Explanation:
Document Understanding documentation, when using the "Export Now" tab in the Export Files dialog box within the Document Manager, the available options include:
Download to Excel - This allows downloading the dataset locally in an Excel format.
Export to AI Center - This exports the data directly to the AI Center for use in model training or evaluation.
Export All - This option exports all documents regardless of labeling or filtering status.
These features are designed to facilitate exporting labeled data for further processing in AI Center, or locally for offline analysis

NEW QUESTION # 150
......

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UiPath-SAIAv1 Exam Practice | New UiPath-SAIAv1 Braindumps Free

UiPath UiPath-SAIAv1 Exam Syllabus Topics:

Top Features of UiPath UiPath-SAIAv1 Practice Test Material

UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q145-Q150):

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