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Valid UiPath-SAIAv1 Exam Dumps & UiPath-SAIAv1 Test Study Guide
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UiPath UiPath-SAIAv1 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 3
- 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 4
- 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 5
- 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 6
- 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 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
- 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 9
- 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 10
- 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 11
- 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 12
- 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.
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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q112-Q117):
NEW QUESTION # 112
When training labels and general fields in UiPath Communications Mining, what is the recommended approach to training efficiency?
- A. Train both labels and general fields at the same time.
- B. Focus on labels, and general fields will be trained automatically.
- C. Train general fields first, then labels.
- D. Train only general fields for faster results.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The recommended practice in Communications Mining is to train both labels and general fields simultaneously. This ensures the system learns the relationships and intent expressions effectively.
This approach helps improve the overall model accuracy by leveraging training signals from both classification and field extraction.
UiPath Documentation Reference: UiPath Communications Mining Documentation - Labeling Strategy
NEW QUESTION # 113
What role do Triggers play in the UiPath Integration Service?
- A. Manage connections between UiPath Studio and third-party applications.
- B. Provide a mechanism for starting processes on a scheduled basis from Orchestrator.
- C. Assist in the creation of automation projects by providing event-based activities.
- D. Provide a mechanism for subscribing to specific events from third-party applications, automatically starting processes in Orchestrator.
Answer: D
Explanation:
Reference: UiPath Integration Service Triggers
NEW QUESTION # 114
What is OCR (Optical Character Recognition)?
- A. OCR is a document classification method.
- B. OCR is a tool used to interpret information extracted from documents.
- C. OCR is a method that reads text from images, recognizing each character and its position.
- D. OCR is a platform that enables you to do text-to-speech and speech-to-text.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Optical Character Recognition (OCR)is a method used to convert different types of documents (PDFs, scanned paper documents, images) intoeditable and searchable databy recognizing characters and their positions.
* OCR is vital in Document Understanding todigitize unstructured data from images and scanned docs
.
* UiPath Documentation Reference:OCR Engines in Document Understanding
NEW QUESTION # 115
Which of the following is a main feature of the Manage Packages feature in UiPath Studio?
- A. Automatically updating all packages in a project to their latest versions.
- B. Disabling previously installed packages without uninstalling them.
- C. Managing package dependencies exclusively for attended automation projects.
- D. Installing, uninstalling, and updating activity packages in a project.
Answer: D
Explanation:
Reference: UiPath Manage Packages
NEW QUESTION # 116
How are UiPath RPA and AI Center used for process improvement?
- A. UiPath RPA and AI Center work together in process improvement by leveraging RPA capabilities to automate repetitive tasks and integrating AI Center to enhance decision-making and cognitive abilities.RPA bots can collect data, perform actions, and feed information to ML models in AI Center, which in turn can analyze the data and make predictions.
- B. UiPath RPA and AI Center are independent tools that do not work together in process improvement.
RPA focuses on task automation, while AI Center is primarily used for training and deploying machine learning models. - C. UiPath RPA and AI Center have overlapping functionalities, so they are not designed to work together in process improvement. Each tool serves different purposes and is used independently to achieve automation and AI capabilities, respectively.
- D. UiPath RPA and AI Center work together in process improvement by utilizing RPA bots to execute models deployed in Action Center that can be monitored in Insights. The ML models process data and generate insights, which are then used by the RPA bots to make informed decisions and carry out automated actions.
Answer: A
Explanation:
Reference: UiPath RPA and AI Center Integration
NEW QUESTION # 117
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