UiPath-ASAPv1 - UiPath Automation Solution Architect Professional v1.0 Exam

 Artificial intelligence (AI) is a broad term that covers various technologies that enable machines to perform tasks that traditionally require human intelligence, such as reasoning, learning, problem-solving, and using language. AI can be classified into different types, such as weak AI, strong AI, and artificial general intelligence (AGI), depending on the level of intelligence and the scope of tasks that the machines can perform2. Some of the common applications of AI include natural language processing, computer vision, speech recognition, machine learning, and deep learning3.

References:

• 1: Artificial intelligence (AI) | Definition, Examples, Types, Applications, Companies, & Facts | Britannica
• 2: What Is Artificial Intelligence? Definition, Uses, and Types | Coursera
• 3: What is Artificial Intelligence (AI) ? | IBM

An Orchestration Process is a type of long-running workflow that supports service orchestration, human intervention, and long-running transactions in unattended environments1. An Orchestration Process can use persistence points, such as Wait for Queue Item and Resume or Wait for Job and Resume, to suspend and resume the execution based on certain conditions1. There is no limit on the number of jobs or other triggers that a job can wait for at a time, as long as there are enough runtimes available on the host machine2. However, if the number of pending jobs exceeds 10,000, a warning message is displayed in Orchestrator3.

References: 1: Studio - Orchestration Process 2: Orchestrator - About Jobs 3: Maximum number of pending jobs - Orchestrator

For UiPath license estimation, two key best practices include assessing the number and complexity of processes to determine the required types of robots (e.g., Attended, Unattended, Studio, StudioX) and evaluating concurrent robot usage during peak workloads. Understanding the complexity of the processes helps in choosing the right type of robots that align with the tasks' needs, ensuring efficient automation. Concurrent usage assessment is crucial for optimizing resource allocation, especially during peak periods, to maintain high efficiency and productivity without overprovisioning resources. This strategic approach to licensing can significantly enhance the scalability and cost-effectiveness of RPA initiatives.

References:

• UiPath Licensing Guide: Robot Types and Licensing
• UiPath Best Practices: License Management