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UiPath Certified Professional Specialized AI Professional v1.0
Last Updated: Oct 2, 2024
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79 Questions and Answers for the UiPath UiPath-SAIv1 exam
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UiPath Certified Professional Specialized AI Professional v1.0 Syllabus
- UiPath Document Understanding Framework: In this topic, students will explore the UiPath Document Understanding Framework, which includes building POCs and automation components for the Document Understanding template, but not a complete and robust process.
- UiPath Studio - Document Understanding Activities: This topic covers various activities within UiPath Studio related to Document Understanding. Students will delve into the Document Object Model, OCR engine selection, classifier and extractor analysis.
- Document Understanding Specific UiPath Implementation Methodology: In this topic, students will learn about the specific methodologies for implementing Document Understanding in UiPath. They will cover data gathering and analysis for documents, languages, and OCR engines, as well as integrating exception handling within the automation solution. UiPath AI Center: This topic focuses on the UiPath AI Center. Students will distinguish between AI, ML, NLP, DL, and computer vision, and between various types of learning. They will also learn about AI Center functionality, user personas, ML model types, and deployment methods.
- UiPath Communications Mining - Model Training: In this topic, students will explore model training within UiPath Communications Mining. They will learn about the golden rules of label and general fields training, using the train tab, generative annotation, and extraction.
- UiPath Communications Mining - Taxonomy Design: This topic covers taxonomy design in UiPath Communications Mining. Students will create label taxonomies, differentiate between analytics and automation taxonomies, and learn about typical groups of labels and types of general fields.
- UiPath Communications Mining - Setup: In this topic, students will learn about setting up UiPath Communications Mining. They will cover managing data components, enabling and updating general fields, importing taxonomies, and distinguishing between tone analysis and label sentiment.
- UiPath Communications Mining - Discover: This topic focuses on the discovery phase of UiPath Communications Mining. Students will learn about labeling clusters, search functionality, and balancing search with shuffle and teach label.
- UiPath Communications Mining - Explore: In this topic, students will explore label and entity predictions within UiPath Communications Mining. They will distinguish between label predictions and suggestions, and understand when to use shuffle, teach label, or low confidence training.
- UiPath Communications Mining - Refine and Maintain: This topic covers refining and maintaining models in UiPath Communications Mining. Students will learn about the importance of the refine phase, precision and recall metrics, model rating assessments, and typical solutions to improve scores for labels, coverage, and balance.
- Analytics & Monitoring: In this topic, students will explore analytics and monitoring within UiPath. They will learn to use reports to create dashboards, analyze charts and summary statistics, and assess trends and segments. These sub-topics are crucial for effectively monitoring and analyzing data within UiPath.
- Updates introduced to 2023.10: This topic covers the updates introduced in UiPath's 2023.10 version. Students will learn about document manager updates, business rules in taxonomy manager, document understanding cloud APIs, deprecations, dataset import from document manager, and field configuration experiences.