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
    :

UiPath UiPath Certifications UIPATH-SAIV1 Questions & Answers

  • Question 21:

    When using UiPath Communications Mining, how can entities be enabled and configured?

    A. By creating a new model or editing an existing model version.

    B. By creating a new data source or editing an existing data source.

    C. By creating a new dataset or editing an existing dataset.

    D. By creating a new project or editing an existing project.

  • Question 22:

    What is the use of BatchTestingUtilities?

    A. Run tests faster during development.

    B. Save test data faster and for easier debugging and development.

    C. Save data to cache during development and run tests faster.

    D. Save data to cache during development.

  • Question 23:

    What is the purpose of the Projects page in UiPath AI Center?

    A. To display a list of multiple ML (Machine Learning) solutions containing top-level information.

    B. To display a list of the available projects containing top-level information. Including description, active pipelines, and deployed packages.

    C. To display a list of the available resources containing top-level information, including descriptions and datasets.

    D. To display a list of datasets, pipelines, packages, and skills.

  • Question 24:

    What does the "Refine" phase involve as part of the UiPath Communications Mining process?

    A. It involves improving specific labels that are not performing as expected.

    B. It involves diminishing the labels that are overperforming.

    C. It involves diminishing all the labels regardless of their performance.

    D. It involves improving all the labels regardless of their performance.

  • Question 25:

    Which of the following use cases is best suited for label sentiment analysis in UiPath Communications Mining?

    A. Analyzing customer survey responses.

    B. Analyzing process inefficiencies in a shared email inbox.

    C. End-to-end automation of requests from inbound workflow tickets.

    D. Automatically routing inbound emails in a shared email inbox.

  • Question 26:

    In UiPath Communications Mining, how does the Quality of Service score range for each message?

    A. ?5 to 5.

    B. ?10 to 10.

    C. 0 to 10.

    D. 1 to 10.

  • Question 27:

    In UiPath Communications Mining, when creating a model that is intended to enable automation, what is the minimum F1 score recommended for entities?

    A. 60%

    B. 70%

    C. 80%

    D. 90% and above

  • Question 28:

    What categories of events are available in the ML Logs page?

    A. ML PackageValidation Events, Dataset Events, Pipeline Events, ML Skill Deployment Events, and ML Skill Prediction Events.

    B. ML PackageValidation Events, Dataset Events, Pipeline Events, ML Skill Prediction Events, and ML Skill Train Events.

    C. ML PackageValidation Events, Dataset Events, ML Skill Train Events, ML Skill Deployment Events, and ML Skill Prediction Events.

    D. ML PackageValidation Events, Dataset Events, ML Skill Train Events, Pipeline Validation Events, and ML Skill Deployment Events.

  • Question 29:

    Which OCR (Optical Character Recognition) engine from the ones listed below has the highest confidence level?

    A. Google Cloud Vision OCR with DetectionMode = TextDetection.

    B. UiPath Document OCR.

    C. Microsoft Azure Computer Vision OCR with UseReadAPI unselected (default).

    D. Microsoft OCR.

  • Question 30:

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

    A. Different Document Understanding components have support for different languages, so they have to be selected according to the requirements.

    B. The main reason is that all taxonomy fields should have their names translated into all the languages presented in the documents to be processed.

    C. This is a standard check but has no actual effect on the Document Understanding process.

    D. 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.

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