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

1. What can the Custom Named Entity Recognition out-of-the-box model be used for?

A) Classify text in resumes, emails, web pages, and other formats.
B) Relate customer questions to FAQ documents and automatically pull responses from these documents.
C) Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
D) Understand sentiment in product reviews, customer surveys, social media posts, and emails.

2. Having the following Rules defined in the Taxonomy Manager for Billing Address field.

At the data extraction step. 42 W 80th St. West New York, NJ 1234, USA have been extracted (or the Billing Address field. When processing a Invoice using the DU process what will happen in (he Validation Station after data extraction step?

A) There will be an error for Billing Address field regarding the ContainsNY rule, and the validation step will throw the user specified exception.
B) There will be a warning message for Billing Address field regarding the ContalnsNY rule, and the validation step will throw the user specified exception.
C) There will be an error for Billing Address field regarding the ContalnsNY rule, but the validation can be performed.
D) There will be a warning message for Billing Address field regarding the ContalnsNY rule, but the validation can be performed.

3. Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?

A) Average label performance.
B) Coverage.
C) Underperforming labels.
D) Balance.

4. How do you use the Generative Classifier within UiPath Document Understanding Cloud APIs to classify a document as either an "Invoice" or a "Receipt"?

A) By sending a GET request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
B) By sending a POST request to yapi/framework/projectsy{projectld}/ctassifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
C) By sending a PUT request to /api/framework/proiects/{projectld}/classifiers/generative_classifier
/classification without any specific classification details in the body of the request.
D) By sending a POST request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/dassification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and a description for their fields.

5. How long does the typical Machine Learning model deployment process take in UiPath AI Center?

A) Between 5 and 10 minutes.
B) More than 15 minutes.
C) Between 10 and 15 minutes.
D) Less than 5 minutes.

Solutions: