UiPath UiPath-ASAPv1 Questions Answers

According to the process automation visibility criteria, the tasks that are most suitable for automation are those that are rule-based and repetitive. Rule-based tasks are those that follow a clear and consistent logic that can be programmed without human judgment. Repetitive tasks are those that are performed frequently and in large volumes, and do not vary much in their execution. These tasks are ideal for automation because they can be easily standardized, optimized, and scaled by software robots, while reducing human errors, costs, and efforts.

References:

• Are all processes are suitable for RPA, so how to identify the right processes for Robotic Process Automation
• Determining What Business Processes To Automate
• How To Choose Which Processes To Automate With RPA

In UiPath Orchestrator, using the queue name as an argument for the process is the most efficient way to handle varying data sources for different schedule times. When scheduling the process, you can specify different queue names as input arguments for each trigger (9AM, 1PM, 6PM). This approach allows for a single, flexible process that adapts to different data sources at different times without the need for multiple deployments or manual updates to assets or configuration files.

References:

• UiPath Orchestrator Guide: Managing Triggers
• UiPath Orchestrator Guide: About Arguments

This answer is correct because the Object Repository allows for creating and reusing UI taxonomies inside and across automation projects. By referencing Library B, which contains the Object Repository for application C, process A can reuse the UI elements defined there without creating a new Object Repository or using selectors. This way, process A can benefit from the centralized management, reusability, and reliability of the UI elements in the Object Repository12

References:

• Studio - About Object Repository - UiPath Documentation Portal
• Object Repository | UiPath UI Library | UiPath Academy

UiPath AI Center is a service that allows you to integrate and automate AI models into your RPA workflows. You can use pre-built or custom models, templates, and a drag-and-drop interface to deploy, manage, and improve your AI-enhanced automations. You can also consume the models within Studio or Orchestrator using the ML Skill activity or the ML Extract activity.

References:

• RPA & AI Integration with AI Center
• AI Center - About AI Center
• How to use UiPath AI Center for Object Detection