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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. What is the difference between the Document Understanding Process and the Document Understanding Framework?

A) The Document Understanding Process contains the activities that can be used in a Library, while the Document Understanding Framework is the template that can be found in Studio.
B) The Document Understanding Framework contains the activities that can be used in a Process, while the Document Understanding Process is the template that can be found in Studio.
C) The Document Understanding Process contains the activities that can be used in a Process, while the Document Understanding Framework is the template that can be found in Studio.
D) The Document Understanding Framework contains the activities that can be used in a Library, while the Document Understanding Process is the template that can be found in Studio.

2. While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?

A) Use the "Rebalance" training mode to pin the label to more communications.
B) Use the "Search" feature to pin the label to more communications.
C) Use the "Low confidence" training mode to pin the label to more communications.
D) Use the 'Teach" training mode to pin the label to more communications.

3. Which of the below is the correct definition of "recall" in UiPath Communications Mining?

A) For a given concept what % of cases will the model correctly predict.
B) For a given concept what % of cases will the model incorrectly predict.
C) For a given concept, what % of cases will the model not detect.
D) For a given concept, what % of cases will the model detect.

4. What are the out-of-the-box model types available in AI Center?

A) Pre-trained, custom training, and reviewed.
B) Pre-trained, fine-tunable, and reviewed.
C) Custom training, fine-tunable, and reviewed.
D) Pre-trained, custom training, and fine-tunable.

5. When creating a training dataset, what is the recommended number of samples for the Classification fields?

A) 10-20 document samples from each class.
B) 5-10 document samples from each class.
C) 20-50 document samples from each class.
D) 50-200 document samples from each class.

Solutions: