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New UiPath-SAIAv1 Exam Topics - Latest UiPath-SAIAv1 Dumps Questions
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UiPath UiPath-SAIAv1 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 3
- 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 4
- 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 5
- UiPath Studio - Document Understanding Activities: This section of the exam measures skills of RPA developers and covers configuring document classification and extraction workflows using Studio activities, taxonomy management, digitization, and validation tools. It also includes the use of trained ML models and prebuilt extractors.
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
- 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 9
- 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 10
- 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 11
- 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 12
- 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 13
- 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 14
- 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 15
- 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 16
- 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.
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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q219-Q224):
NEW QUESTION # 219
Which of the following are the two key categories that use cases for UiPath Communications Mining typically fall into?
- A. Customer Support and Marketing
- B. Analytics and Automation
- C. Research and Development
- D. Communication and Collaboration
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Use cases inUiPath Communications Miningtypically fall into two major categories:
* Analytics- Understand themes, sentiment, and intent in communications.
* Automation- Trigger workflows based on classified and extracted data from messages.
These capabilities help organizationsact on insights and automate responsesefficiently.
* UiPath Documentation Reference:Communications Mining Use Cases
NEW QUESTION # 220
Which is the most suitable extractor for extracting data from invoices from different customers?
- A. The Form Extractor
- B. The Intelligent Form Extractor
- C. The Machine Learning Extractor
- D. The Regex Based Extractor
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
TheMachine Learning Extractoris best suited for handlingsemi-structured documentslike invoices, which often vary by layout, format, and provider. Unlike template-based extractors, ML extractors learn from data and generalize across multiple formats.
* It is trained to recognize fields regardless of positioning or formatting, making it ideal for vendor invoices, receipts, and more.
* UiPath Documentation Reference:Choosing the Right Extractor - UiPath DU
NEW QUESTION # 221
What actions can be performed on a pipeline which is in the running state?
- A. Remove and restart.
- B. Kill, remove, and restart.
- C. Remove and kill.
- D. Kill.
Answer: D
Explanation:
When a pipeline is in the running state in UiPath AI Center, the only action that can be performed is to Kill it.
This terminates the process immediately, stopping any further processing. Actions like removing or restarting the pipeline can only be performed after the pipeline has stopped.(Source: UiPath Pipeline documentation
NEW QUESTION # 222
What is the Machine Learning Extractor?
- A. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
- B. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
- C. A tool using machine learning models to identify and report on data targeted for data extraction.
- D. An extraction model that can be enabled and trained in Al Center. For better accuracy. 25 documents per model are recommended to train the model.
Answer: A
Explanation:
The Machine Learning Extractor utilizes machine learning models to effectively extract data from documents, especially when dealing with varying structures or formats within the same document type. This capability is crucial in scenarios where documents do not follow a strict template and have variations in their layout or content organization. The extractor can be trained to understand these variations and accurately extract the needed information.
The Machine Learning Extractor is a data extraction tool that uses machine learning models to extract data from various types of documents, such as invoices, receipts, or forms. It is especially useful when the same document type has multiple layouts or formats, as it can learn and infer the values for the targeted fields, even from documents and layouts it has never seen before1.
The Machine Learning Extractor can be used with one of UiPath's public Document Understanding endpoints, which provide generic models for certain document types, or with custom trained machine learning models hosted in AI Center, which can be tailored to specific use cases. The Machine Learning Extractor can be configured and trained using the Data Extraction Scope activity in UiPath Studio2.
References:
Document Understanding - Machine Learning Extractor
UiPath Activities - Data Extraction Scope
NEW QUESTION # 223
For which version(s) from Out-of-the-Box ML Packages minor versions is the download functionality available?
- A. Version 1 and above
- B. Version 0 and above
- C. Version 0 only
- D. Version 1 only
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
UiPath AI Center allowsdownloading only Out-of-the-Box ML packages from version 1 and above.
* Version 0 is consideredexperimental or in preview, and the download functionality isnot availablefor those.
* This is important when users want to clone or retrain these models.
* UiPath Documentation Reference:Managing ML Packages - AI Center
NEW QUESTION # 224
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