UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 171:

  When does UiPath Communications Mining charge AI units?

  A. When comments are uploaded or updated on the platform.
  B. When model training occurs.
  C. When using the automation framework to consume predictions from a stream.
  D. When pinning a new model version.
  C. When using the automation framework to consume predictions from a stream.

• Question 172:

  Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?

  A. The label precision and recall statistics are determined by the model's rating.
  B. The label precision and recall statistics are determined by the confidence threshold.
  C. The label precision and recall statistics are determined by the mean average precision (MAP).
  D. The label precision and recall statistics are determined by the model's coverage.
  B. The label precision and recall statistics are determined by the confidence threshold.

  ---

  Explanation/Reference:

  https://docs.uipath.com/communications-mining/automation-cloud/latest/user-guide/precision-and-recall

• Question 173:

  In the context of Post Processing, how do you modify the value of countryField to Taiwan in the io_ExtractionResult object?

  addressField = io_ExtractionResults.ResultsDocument.Fields.Where(Function(field) field.FieldType.Equals(UiPath.DocumentProcessing.Contracts.Taxonomy.FieldType.Address)).FirstOrDefault

  countryField = io_ExtractionResults.ResultsDocument.Fields.Where(Function(field) field.FieldName.Equals("Country")).FirstOrDefault

  A. countryField.Value = Taiwan
  B. countryField.Values(0).Value = Taiwan
  C. countryField.Values(0) = Taiwan
  D. countryField.Fields(0).Value = Taiwan
  B. countryField.Values(0).Value = Taiwan

  ---

  Explanation/Reference:

• Question 174:

  Which UiPath product is most suitable for processing invoices?

  A. UiPath Document Understanding.
  B. UiPath Process Mining.
  C. UiPath Communications Mining.
  D. UiPath Task Mining.
  A. UiPath Document Understanding.

• Question 175:

  What is Document Understanding?

  A. A solution for combining different approaches to extract information from workflows.
  B. A solution that offers the ability to digitize, extract, validate, and train data from documents.
  C. A solution for the processing of Excel files for extracting data tables.
  D. A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.
  B. A solution that offers the ability to digitize, extract, validate, and train data from documents.

  ---

  Explanation/Reference:

  Document UnderstandingTM: is a no-code and user-friendly solution that combines specialized and generative models to extract and interpret data from various documents and ensure end-to-end document processing. From structured to unstructured, the tool can process a wide variety of documents, recognizing different objects like tables, handwriting, signatures, and checkboxes, and is versatile in handling various file formats.

• Question 176:

  Which of the following is the main benefit of combining UiPath Communications Mining and Robotic Process Automation (RPA)?

  A. UiPath Communications Mining structures real-time calls data before handing it over to UiPath robots for automation.
  B. UiPath Communications Mining processes documents, then hands them over to UiPath robots for automation.
  C. UiPath Communications Mining processes images, then hands them over to UiPath robots for automation.
  D. UiPath Communications Mining structures conversational data before handing it over to UiPath robots for automation.
  D. UiPath Communications Mining structures conversational data before handing it over to UiPath robots for automation.

• Question 177:

  What is the minimum number of pinned examples users should provide per label in UiPath Communications Mining?

  A. 5
  B. 10
  C. 15
  D. 25
  D. 25

• Question 178:

  What information should be provided when adding a classification label for the OOB (Out Of the Box) labeling template?

  A. Name, Input to be labeled, Attribute name, Color, and Shortcut.
  B. Name, Classification type, Input to be labeled, Attribute name, Shortcut, and Color.
  C. Name, Classification type, Input to be labeled, Attribute name, and Shortcut.
  D. Name, Input to be labeled, Attribute name, and Shortcut.
  B. Name, Classification type, Input to be labeled, Attribute name, Shortcut, and Color.

• Question 179:

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

• Question 180:

  What is the correct approach when discovering that a label's name does not reflect the desired intent within a UiPath Communications Mining taxonomy?

  A. Export dashboards where the original label appeared, then manually change the name.
  B. Create another label with the correct name and apply it to all verbatims that have the original label.
  C. Create a label intending to show the error in naming and insert it into all dashboards where the original label appeared.
  D. Rename the label in the taxonomy as it doesn't negatively affect the model training and performance.
  D. Rename the label in the taxonomy as it doesn't negatively affect the model training and performance.