UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 11:

  When training a model in UiPath Communications Mining, what is the recommended rating if we want to enable downstream automations?

  A. Excellent.
  B. Average.
  C. Good.
  D. Poor.
  A. Excellent.

• Question 12:

  Which of the following is true about Label Suggestions in UiPath Communications Mining?

  A. Label suggestions are identifiable through their double outline and dark fill.
  B. If a label suggestion is wrong, it must be explicitly dismissed on the verbatim it was suggested on.
  C. Label suggestions and label predictions serve the same purpose.
  D. They will not be counted in Reports for analytics, or made available downstream for automation.
  D. They will not be counted in Reports for analytics, or made available downstream for automation.

• Question 13:

  What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?

  A. Document Manager.
  B. Digitization.
  C. Data Manager.
  D. ML Extractor.
  A. Document Manager.

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  Explanation/Reference:

  UiPath Document Manager is a lightweight web application that allows users to prepare, review and make corrections to datasets required for Training and Evaluation of Document Understanding Machine Learning models. It enables multiple

  users to perform a variety of operations:

  Define and configure the fields to be extracted by an ML model.

  Import documents for labeling.

  Prelabel documents using a preexisting ML model such as Invoice Extraction or Receipt Extraction provided by UiPath out-of-the-box, or by using a model trained using AI Center.

  Label documents.

  Export documents in the format expected by the AI Center Training pipelines.

• Question 14:

  What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

  A. Train models using unsupervised learning.
  B. View, save, and modify dataset model versions.
  C. Monitor model performance and receive recommendations.
  D. Access detailed, queryable charts, statistics, and customizable dashboards.
  D. Access detailed, queryable charts, statistics, and customizable dashboards.

• Question 15:

  Which activity from the UiPath.IntelligentOCR.Activities Package allows you to retrieve text from PDF or image files?

  A. Data Extraction Scope activity.
  B. Present Classification Station activity.
  C. Classify Document activity.
  D. Digitize Document activity.
  D. Digitize Document activity.

• Question 16:

  What is the recommended data extraction methodology to be used when processing documents where data points don't have a fixed structure or position in the document layout?

  A. Rule-based data extraction.
  B. Manual data extraction.
  C. Hybrid data extraction.
  D. Model-based data extraction.
  D. Model-based data extraction.

• Question 17:

  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 18:

  DRAG DROP

  What is the correct order of recommended steps when introducing new labels into a mature taxonomy?

  Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

  Select and Place:

  

  

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  Explanation/Reference:

• Question 19:

  What is the primary goal of exception training for a production model in UiPath Communications Mining?

  A. To teach the model what to ignore in the future.
  B. To improve the model's ability to confidently predict future similar verbatims.
  C. To identify user interface issues.
  D. To remove examples from the dataset that the model could not confidently make predictions for.
  B. To improve the model's ability to confidently predict future similar verbatims.

• Question 20:

  Why is working with the Low Confidence training mode important during the "Explore" phase in UiPath Communications Mining?

  A. Because it's providing training examples that have no confident informative label predictions, so reviewing these can help to significantly boost the model's coverage.
  B. Because it enables the user to focus on the labels with low accuracy.
  C. Because the user can train underperforming labels on new examples that have high confidence.
  D. Because it allows for the use of multiple sources of data despite the low confidence.
  A. Because it's providing training examples that have no confident informative label predictions, so reviewing these can help to significantly boost the model's coverage.

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  Explanation/Reference:

  Training using 'Low confidence'

  User permissions required: 'View Sources' AND 'Review and label'.

  The final key step in Explore is training using 'Low confidence' mode, which shows you messages that are not well covered by informative label predictions. These messages will have either no predictions or very low confidence predictions for labels that the platform understands to be informative.

  https://docs.uipath.com/communications-mining/automation-cloud/latest/user-guide/training-using-low-confidence