UiPath Updated UiPath-ASAPv1 Exam Questions and Answers by mara

The Robotic Enterprise Framework is a pre-built template that follows the best practices for implementing an unattended transactional process. It is designed to handle exceptions, application errors, transactions, logging, and reporting. It also uses queues and orchestrator assets to manage the data and configuration of the process. The Robotic Enterprise Framework is suitable for complex and long-running processes that require high reliability and scalability.

References:

• Robotic Enterprise Framework
• RPA Solution Architect Learning Plans

Machine Learning (ML) is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Unlike traditional programming, where a developer writes the instructions to solve a problem, ML algorithms learn from the data. They improve their performance as the amount of data increases. This learning process involves training an ML model on a dataset, allowing it to learn from the examples provided. Once the model is trained, it can make predictions or decisions based on new, unseen data. This approach is powerful in handling complex tasks where defining explicit rules is challenging.

References:

• UiPath AI Center Guide: Introduction to Machine Learning
• UiPath AI Fabric: Machine Learning Models

This answer aligns with UiPath's emphasis on ensuring that automation solutions adhere to compliance standards and safeguard against security vulnerabilities and data privacy concerns, as outlined in UiPath's documentation and best practices for automation development.