UiASAPv1 practice questions, page 10 of 11, with answer review and explanations.
Question 46
What is the difference between rule-based and model-based data extraction methodologies?
Rule-based extraction is more computationally intensive, whereas model-based systems are simpler and require fewer computational resources.
Rule-based extraction requires manual data labeling, while model-based extraction does not need any label or training data.
Rule-based extraction relies on predefined rules and patterns, while model-based extraction utilizes machine learning algorithms to automatically identity and extract data.
Model-based extraction is only effective for structured data sources, whereas rule-based extraction can handle both structured and unstructured data sources seamlessly.
Question 47
How can automated Test Sets be executed?
From both Orchestrator and Test Manager.
Only from Orchestrator.
From both Studio and Test Manager.
Only from Test Manager.
Question 48
Which of the following options can be a handoff point between a Robot and a user, that can be managed through UiPath Action Center?
Create new tasks for Robots.
Start or pause Robot process execution.
Handle business process exceptions.
Add breakpoints on certain activities.
Question 49
What is the UiPath Document Understanding (DU) Process template purpose/role?
To allow deploying a new Document Understanding process, as an Unattended implementation, already tailored to your business use case. Further development s optional and only required when the business presents additional requirements. The testing, debugging, and scaling are easy, and the template is built with the community’s best practices in mind.
To allow one generic implementation to address all business needs without further development, testing, and debugging. The DU template can be deployed immediately, used as-is without any performance concerns, and following the best practices pertaining to RPA, Document Understanding, Orchestration Processes, and Long-running workflows.
To allow deploying a new Document Understanding process as an Attended implementation, already tailored to your business use case, making the testing, debugging, and scaling easy and following the community best practices. It also makes development optional, the template being ready for production deployment out of the box (needed only when the business comes with extraordinary requirements).
To allow a seamless start for any new Document Understanding process, that is suitable for all use cases, production-ready, has a common architecture for both Attended and Unattended implementations, makes development, testing, deployment, debugging, and scaling easy, and follows the best practices pertaining to RPA, Document Understanding, Orchestration Processes, and Long-running workflows.
Question 50
What is the primary function of “Fields” in Data Service Entities?