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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	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 3	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 4	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 5	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 6	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 7	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.
Topic 8	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 9	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 10	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 11	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 12	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 13	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 14	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 15	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.

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q178-Q183):

NEW QUESTION # 178
What fields are available when creating an Al Center project?

A. Name and labels.
B. Name, description, and labels.
C. Name and description.
D. Name, description, and permissions.

Answer: C

Explanation:
When creating an AI Center project in UiPath, the fields available to input are the project's nameand description. These fields allow you to clearly label and describe the purpose of the AI project within the UiPath platform. Permissions and labels can be managed separately after the project is created

NEW QUESTION # 179
What is one of the purposes of the Config file in the UiPath Document Understanding Template?

A. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
B. It specifies the output file path and format for the processed documents.
C. It stores the API keys and authentication credentials for accessing external services.
D. It defines the input document types and formats supported by the template.

Answer: C

Explanation:
The Config file in the UiPath Document Understanding Template is a JSON file that contains various parameters and values that control the behavior and functionality of the template. One of the purposes of the Config file is to store the API keys and authentication credentials for accessing external services, such as the Document Understanding API, the Computer Vision API, the Form Recognizer API, and the Text Analysis API. These services are used by the template to perform document classification, data extraction, and data validation tasks. The Config file also allows theuser to customize the template according to their needs, such as enabling or disabling human-in-the-loop validation, setting the retry mechanism, defining the custom success logic, and specifying the taxonomy of document types.
References: Document Understanding Process: Studio Template, Automation Suite - Document Understanding configuration file

NEW QUESTION # 180
What does the Label Trends table in UiPath Communications Mining show?

A. How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.
B. How the top 10 entities for a given time period perform compared to the previous period and their change in rank.
C. How the top 10 labels for a given time period perform compared to the previous period and their change in rank.
D. How the top 10 senders for a given time period perform compared to the previous period and their change in rank.

Answer: C

Explanation:
The Label Trends table in UiPath Communications Mining shows the trend of the top 10 highest volume labels over the selected time period, as well as their percentage change and rank change compared to the previous period1. The table allows users to quickly identify which labels are increasing or decreasing in volume, and by how much, over time. The table also shows the net sentiment score for each label, which is calculated as the difference between the positive and negative sentiment probabilities for each verbatim2. The table can be filtered by data type, source, date range, and label category. Users can also sort the table by label name, volume, percentage change, rank change, or net sentiment1.
References: 1: Trends 2: Sentiment Analysis

NEW QUESTION # 181
What differentiates UiPath Communications Mining general fields trained from scratch from general fields that are pre-trained?

A. The trained-from-scratch general fields need to be normalized to be used in downstream automation, while the ones that are pre-trained can only be used in dashboards within the platform.
B. The trained-from-scratch general fields are entirely user-trained, while the ones that are pre-trained are typically based on a set of standard or custom-defined rule
C. The trained-from-scratch general fields depend on the model version, while the ones that are pre-trained do not.
D. The trained-from-scratch general fields have better accuracy, while the pre-trained general fields have a longer training time.

Answer: B

Explanation:
In UiPath Communications Mining, general fields that are trained from scratch require user-defined inputs and training data, making them highly customizable but dependent on the specific data provided by the user.
In contrast, pre-trained general fields are based on predefined rules and training models developed by UiPath.
These pre-trained fields offer out-of-the-box functionality and are optimized for common use cases, whereas user-trained fields offer more flexibility to meet specific business requirements.
(Source: UiPath Communications Mining documentation)

NEW QUESTION # 182
What is the function of the Immediate Panel in UiPath Studio during the debugging process?

A. Modifying the values of variables and arguments at runtime during the debugging process.
B. Displaying the performance analysis of all the operations, showing the execution time of each activity.
C. Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.
D. Displaying the next activity to be executed and its parent containers when the project is paused in debugging.

Answer: C

Explanation:
Reference: UiPath Debugging Tools

NEW QUESTION # 183
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