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UiPath UiSAIAv1 Exam Questions
UiPath Specialized AI Associate (Page 5 )

Updated On: 14-Mar-2026
Page 5 of 37
PDF with 180 Questions

Which of the following is a stated for UiPath IXP and the new Generative Extraction feature?

  1. To completely replace human involvement in all unstructured document processing tasks within the next five years.
  2. To develop a universal document format that standardizes all business communications globally.
  3. In integrate artificial general intelligence capabilities for autonomous decision-making in document processing.
  4. To create new automation opportunities and further extend end-to-end automation into previously untapped areas.

Answer(s): D

Explanation:

UiPath IXP and the new Generative Extraction feature are designed to expand automation capabilities by enabling extraction from complex, unstructured documents. This opens new automation opportunities and extends end-to-end automation into areas that were previously difficult to automate.



While creating a process automation pipeline, what process attribute should be avoided to ensure there are minimal or not automation maintenance requirements?

  1. The process is prone to human error.
  2. Frequent business logic change.
  3. The process requires exception handling.
  4. High process run time.

Answer(s): B

Explanation:

Processes with frequent business logic changes require constant updates to the automation, leading to higher maintenance needs. To minimize or avoid maintenance overhead, it's best to automate processes with stable and predictable logic.



How are UiPath and AI Center used for process improvement?

  1. UiPAth RPA and AI Center have overlapping functionalities, so they are not designed to work together in process improvement. Each tool serves different purposes and is used independently to achieve automation and AI capabilities, respectively.
  2. UiPAth RPA and AI Center work together in process improvement by leveraging RPA capabilities to automate repetitive tasks and integrating AI Center to enhance decision-making and cognitive abilities. RPA bots can collect data, perform actions and feed information to ML models in AI Center, which in turn can analyze the data and make predictions.
  3. UiPath RPA and AI Center are independent tools that do not work together in process improvement. RPA focuses on task automation, while AI Center is primarily used for training and deploying machine learning models.
  4. UiPath RPA and AI Center work together in process movement by utilizing RPA bots to execute models deployed in Action Center that can be monitored in Insights. The ML models process data and generate insights, which are then used by the RPA bots to make informed decisions and carry out automated actions.

Answer(s): B

Explanation:

UiPath RPA automates structured, repetitive processes, while AI Center integrates machine learning to add intelligence. Together, they enable end-to-end automation where bots not only execute tasks but also leverage ML models to analyze data, predict outcomes, and make smarter decisions, driving process improvement.



Which activity is used to validate and correct automatic classification outputs?

  1. Digitize Document activity.
  2. Classify Document activity.
  3. Present Classification Station activity.
  4. Present Validation Station activity.

Answer(s): C

Explanation:

The Present Classification Station activity is specifically designed to validate and, if needed, correct the automatic classification outputs of documents before proceeding further in the Document Understanding workflow.



What is a mandatory requirement before using the One Click Classification functionality?

  1. The Document Understanding project must be linked to AI Fabric.
  2. The Document Understanding project must be linked to AI Center.
  3. The Document Understanding project must have at least five Document Types defined.
  4. The Document Understanding project must be linked to Action Center.

Answer(s): B

Explanation:

One Click Classification relies on machine learning models managed and deployed through AI Center. Linking the Document Understanding project to AI Center is mandatory to enable this functionality.



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