Exam Details

  • Exam Code
    :UIPATH-SAIV1
  • Exam Name
    :UiPath Specialized AI Professional v1.0 (UiSAI)
  • Certification
    :UiPath Certifications
  • Vendor
    :UiPath
  • Total Questions
    :185 Q&As
  • Last Updated
    :Apr 14, 2025

UiPath UiPath Certifications UIPATH-SAIV1 Questions & Answers

  • Question 51:

    What value should be set for the DegreeOfParallelism property of the DigitizeDocument activity to maximize the number of logical processors?

    A. ?1

    B. 0

    C. 1

    D. 2

  • Question 52:

    Which component is used to assess the impact of OCR (Optical Character Recognition) on extraction accuracy during evaluation?

    A. eval.enable_gpu variable.

    B. eval.redo_ocr variable.

    C. eval.use_cuda variable.

    D. eval.enable_ocr variable.

  • Question 53:

    When should the data extraction training pipeline be run?

    A. When automatically extracted data is correct (no correction required), as well as in the case of human corrections.

    B. When automatically extracted data needs human correction.

    C. When automatically extracted data fails the validation and is sent to either the Validation Station or Action Center for human intervention.

    D. When automatically extracted data is correct (no correction required).

  • Question 54:

    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.

  • Question 55:

    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.

  • Question 56:

    What are the required development activities that the Document Understanding Process contains in order to provide a template to speed up the implementation?

    A. Document Understanding, Error Handling, Post Processing, Export, and Testing.

    B. Document Understanding, Error Handling, Post Processing, Export, Testing, and Validation.

    C. Document Understanding, Error Handling, Post Processing, Testing, and Validation.

    D. Document Understanding, Error Handling, Post Processing, Orchestrator, Export, Testing, and Validation.

  • Question 57:

    How can we get an estimate on how many documents we require for an ML (Machine Learning) model in Document Understanding?

    A. The estimate will be provided after adding documents in Document Manager and seeing if the export is successful.

    B. The estimate will be provided based on the number of fields, layouts, or languages configured when creating a new document type in Document Understanding on Automation Cloud.

    C. The estimate will be provided based on the number of fields, layouts, or languages when creating a new ML Model in Document Understanding on Automation Cloud.

    D. The number is standard and contains 15 documents per vendor.

  • Question 58:

    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.

  • Question 59:

    What is a possible outcome specific to the Low confidence training mode in the "Explore" phase while working with UiPath Communications Mining?

    A. The dataset will be enriched with additional data sources, so the entity extraction process may suffer significant changes.

    B. Due to the fact that most of the verbatims don't have any predictions, the training process may reveal the need to add new labels that are not yet covered in the taxonomy.

    C. Due to the fact that most labels have a high recall percentage, the training process may reveal the need for a "human in the loop" scenario.

    D. The pinned model may suffer from performance degradation, so the training process may require additional effort on a regular basis.

  • Question 60:

    What is the order in which model training should occur inside UiPath Communications Mining?

    A. Discover, Refine, Explore.

    B. Refine, Discover, Explore.

    C. Discover, Explore, Refine.

    D. Refine, Explore, Discover.

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