UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 101:

  DRAG DROP

  How do you load a taxonomy from a given non-default location text file into a variable?

  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 102:

  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 103:

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

• Question 104:

  What additional property does the ML Extractor have compared to the other types of extractors?

  A. Endpoint.
  B. ML Skill.
  C. Timeout.
  D. ApiKey.
  B. ML Skill.

• Question 105:

  What is the Machine Learning Extractor?

  A. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
  B. An extraction model that can be enabled and trained in AI Center. For better accuracy, 25 documents per model are recommended to train the model.
  C. A tool using machine learning models to identify and report on data targeted for data extraction.
  D. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
  D. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.

• Question 106:

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

• Question 107:

  Which activity should be used for classification validation in attended mode?

  A. Create Document Classification Action.
  B. Train Classifiers Scope.
  C. Wait for Document Classification and Resume.
  D. Present Classification Station.
  D. Present Classification Station.

• Question 108:

  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 109:

  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.

• Question 110:

  Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

  A. The popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor. Opt for the ML Extractor that has the highest number of downloads or positive reviews.
  B. Consider the document types, language, and data quality when choosing an ML Extractor. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
  C. The cost of the ML Extractor should be the main consideration when choosing an ML Extractor. Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.
  D. The size of the ML Extractor is the most important factor to consider when choosing an ML Extractor. Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.
  B. Consider the document types, language, and data quality when choosing an ML Extractor. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.