UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 1:

  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

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  explanation:

  Explanation/Reference:

• Question 2:

  What does the feature in the red highlighted box indicate?

  

  A. A label annotation.
  B. A label's confidence level.
  C. A label prediction.
  D. A label suggestion.
  D. A label suggestion.

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  explanation:

  Explanation/Reference:

• Question 3:

  What are the benefits of using UiPath Document Understanding for document processing tasks?

  A. Improved accuracy, reduced manual effort, and faster processing times.
  B. Integrated voice recognition technology for automated transcription.
  C. Streamlined robotic process automation (RPA) workflows and error handling.
  D. Enhanced data visualization capabilities and real-time analytics.
  A. Improved accuracy, reduced manual effort, and faster processing times.

• Question 4:

  What is the page unit cost per extracted page for the ML Extractor?

  B. 0.2
  C. 0.5
  D. 1
  B. 0.2

• Question 5:

  Which Activities Package is required to create a Document Understanding process flow?

  A. UiPath.IntelligentOCR.Activities.
  B. UiPath.Documentunderstanding.ML.Activities.
  C. UiPath.DU.Activities.
  D. UiPath.UnderstandingDocuments.Activities.
  A. UiPath.IntelligentOCR.Activities.

• Question 6:

  Which of the following is true about the Trends tab in UiPath Communications Mining?

  A. It can be used to monitor the top trending entities.
  B. It can be used to monitor the top trending thread properties.
  C. It can be used to monitor the top trending metadata properties.
  D. It can be used to monitor verbatim volumes, label volumes, and sentiment over a given period of time.
  D. It can be used to monitor verbatim volumes, label volumes, and sentiment over a given period of time.

• Question 7:

  Under what condition can a dataset be deleted in UiPath AI Center?

  A. If it is not being used in any active pipeline.
  B. If it has not been modified within the last 24 hours.
  C. If it is not associated with any ML skills.
  D. If it has never been used in a pipeline.
  A. If it is not being used in any active pipeline.

• Question 8:

  For what purpose can data coming from human validation be used in AI Center?

  A. To evaluate the ML model.
  B. To retrain the ML model.
  C. To keep track of corrections done on the extracted data.
  D. To keep track of the number of documents that require human validation.
  B. To retrain the ML model.

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  explanation:

  Explanation/Reference:

  Using Data Labeling with human in the loop Data Labeling enables you to upload raw data, annotate text data in the labeling tool (for classification or entity recognition), and use the labeled data to train ML models. Apart from this, you can use data labeling for human validation on model outputs.

  A common scenario is when you train an extractor or classifier model. When the model prediction falls below a set confidence threshold, that data can be sent to Action Center for human validation. The validated data can be used to retrain the model in order to improve confidence on subsequent model predictions.

  https://docs.uipath.com/ai-center/automation-cloud/latest/user-guide/using-data-labeling-with-human-in-the-loop

• Question 9:

  Given the following scenario: You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1. You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1. The business team labeled 800 pages and they ask for an increment of the Model that would contain all 1000+800 pages.

  What is the first recommended pipeline run configuration to create the new version?

  A. Run a Pipeline on the Package with the following settings: Pipeline type: Full Package Major Version: 22.10.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages
  B. Run a Pipeline on the Package with the following settings: Pipeline type: Training Package Major Version: 22.10.0 Package Minor Version: 1 Input Dataset: 1000+800 pages Evaluation Dataset: N/A
  C. Run a Pipeline on the Package with the following settings: Pipeline type: Full Package Major Version: 22.10.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages
  D. Run a Pipeline on the Package with the following settings: Pipeline type: Evaluate Package Major Version: 22.10.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages
  B. Run a Pipeline on the Package with the following settings: Pipeline type: Training Package Major Version: 22.10.0 Package Minor Version: 1 Input Dataset: 1000+800 pages Evaluation Dataset: N/A

• Question 10:

  How does adding missed entities impact entity performance in UiPath Communications Mining?

  A. It improves precision and recall.
  B. It reduces precision and recall.
  C. It only affects recall.
  D. It has no impact on entity performance.
  C. It only affects recall.