What is the purpose of the End Process in the Document Understanding Process?
A. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
B. End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing/cleaning if required.
C. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
D. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
When dealing with variable-length data, or data spanning over multiple pages of the document (e.g. item tables), what is the recommended data extraction methodology to be used?
A. Hybrid data extraction.
B. Rule-based data extraction.
C. Model-based data extraction.
D. Manual data extraction.
What should a UiPath Communications Mining taxonomy contain when it is being imported?
A. Label predictions.
B. Entity descriptions.
C. Entity predictions.
D. Label descriptions.
Under what condition can a project be deleted in UiPath AI Center?
A. If it does not have any pipeline data.
B. If it does not have any running pipelines.
C. If it does not have any deployed packages.
D. If it does not have any scheduled pipelines.
When creating a training dataset, what is the recommended number of samples for a Column field?
A. 10-20 document samples per column field.
B. 20-50 document samples per column field.
C. 50-200 document samples per column field.
D. 100-200 document samples per column field.
What is the Train Extraction Scope activity used for?
A. To pass the human-validated extracted data back to the extractors, and to improve their extraction predictions.
B. To assist in the human validation and correction of the automatically extracted data results.
C. To provide a scope for any extractor activities that should be trained.
D. To pass the human-validated information back to the classifiers, and to use it to improve their future predictions.
What is one of the reasons to deselect Remove Data from Storage in the Wait For Document Classification Action and Resume activity?
A. To have examples of the extracted documents.
B. For local disk space saving
C. To know how many actions have been completed.
D. For auditing reasons.
In UiPath Communications Mining, what is the primary focus of the "Refine" phase in the model training process?
A. Deleting unnecessary labels.
B. Improving model performance and resolving issues.
C. Grouping intents and conversation themes.
D. Applying labels to verbatims.
Which is the most suitable extractor for extracting data from a survey?
A. The Regex Based Extractor.
B. The Intelligent Form Extractor.
C. The Machine Learning Extractor.
D. FlexiCapture Extractor.
What can the Semantic Similarity out-of-the-box model be used for?
A. Understand sentiment in product reviews, customer surveys, social media posts, and emails.
B. Relate customer questions to FAQ documents and automatically pull responses from these documents.
C. Classify text in resumes, emails, web pages, and other formats.
D. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.