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

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

2. Which activity can be used to convert the default taxonomy.json file into a variable for further use?

A) UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomy
B) UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFile
C) UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFileTaxonomy
D) UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomyFile

3. Why is it important to gather and analyze data about the languages in scope?

A) The main reason is that all taxonomy fields should have their names translated into all the languages presented in the documents to be processed.
B) Different Document Understanding components have support for different languages, so they have to be selected according to the requirements.
C) If an ML (Machine Learning) extractor is used, the model schema fields should be renamed according to the most frequently used language from the documents to be processed
D) This is a standard check but has no actual effect on the Document Understanding process.

4. What does adding missed labels help improve in UiPath Communications Mining?

A) Label bias warnings.
B) Increases the taxonomy coverage.
C) Increases data security.
D) Label precision and recall.

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

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

Solutions: