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UiPath-SAIv1 Exam Questions
- Topic 1: 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.
- Topic 2: 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.
- Topic 3: 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.
- Topic 4: 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.
- Topic 5: 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.
- Topic 6: 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.
- Topic 7: 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.
- Topic 8: 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.
- Topic 9: 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.
- Topic 10: 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.
- Topic 11: 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.
Free UiPath UiPath-SAIv1 Exam Actual Questions
Note: Premium Questions for UiPath-SAIv1 were last updated On Jun. 21, 2025 (see below)
Which environment variable is relevant for Evaluation pipelines?
The environment variable eval.redo_ocr is relevant for Evaluation pipelines because it allows you to rerun OCR when running the pipeline to assess the impact of OCR on extraction accuracy. This assumes an OCR engine was configured when the ML Package was created. The other options are not valid environment variables for Evaluation pipelines.
References:Document Understanding - Evaluation Pipelines
When creating a training dataset, what is the recommended number of samples for the Classification fields?
For an analytics use case, what are the recommended minimum model performance requirements in UiPath Communications Mining?
What is the function of the Immediate Panel in UiPath Studio during the debugging process?
The Immediate Panel is used during debugging to evaluate variables, arguments, or expressions at runtime. It helps developers inspect data at specific points in the workflow to identify and resolve issues.
What action should be performed to have the Taxonomy Manager button appear on the Ribbon, in the Wizard section?
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.
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