UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 41:

  What happens when multiple users try to label the same document concurrently?

  A. The changes made by one user override the changes made by others.
  B. The changes made by all users are saved successfully.
  C. Concurrent labeling is not allowed.
  D. A warning message is displayed to the other user(s) indicating unsuccessful changes.
  D. A warning message is displayed to the other user(s) indicating unsuccessful changes.

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  Explanation/Reference:

  Multiple Users Labeling in Parallel

  You can have multiple users use the same instance to label at the same time, even on the same document.

  If there are concurrent changes on the schema for one user, the change goes through and for the other(s), a warning message is displayed stating that the changes could not be performed. The other user(s) should immediately refresh their

  browser to see the changes.

  https://docs.uipath.com/document-understanding/standalone/2022.4/user-guide/data-manager-label-documents

• Question 42:

  What do entity predictions refer to within UiPath Communications Mining?

  A. The understanding of the parent-label relationship when assigning label predictions.
  B. The difference between label suggestions and label predictions in a training process.
  C. The identification of a specific span of text as a value for a particular entity type.
  D. The model's confidence that a specific concept exists within a communication.
  C. The identification of a specific span of text as a value for a particular entity type.

• Question 43:

  What is Computer Vision?

  A. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
  B. A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
  C. An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.
  D. A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.
  D. A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

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  Explanation/Reference:

  Computer vision is a field of artificial intelligence (AI) enabling computers to derive information from images, videos and other inputs.

• Question 44:

  In UiPath Communications Mining, what is the primary focus of the "Refine" phase in the model training process?

  A. Deleting unnecessary labels.
  B. Improving model performance and resolving issues.
  C. Grouping intents and conversation themes.
  D. Applying labels to verbatims.
  B. Improving model performance and resolving issues.

• Question 45:

  Which UiPath Communications Mining model performance factor assesses how well the platform predicts every concept in the taxonomy?

  A. Underperforming labels.
  B. Balance.
  C. Average label performance.
  D. Coverage.
  C. Average label performance.

• Question 46:

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

• Question 47:

  What happens during one of the Validate stages of the Document Understanding Framework?

  A. The extracted data is reviewed and corrected by a human.
  B. The document types and fields are defined by a human as part of the taxonomy.
  C. The document is classified as one of the predefined document types.
  D. The extraction results are exported as a dataset.
  A. The extracted data is reviewed and corrected by a human.

• Question 48:

  What is the primary purpose of the Comparison page in UiPath Communications Mining?

  A. To view and update sources.
  B. To manage user access and permissions.
  C. To analyze verbatim sentiments.
  D. To conduct A/B testing on different cohorts of verbatims.
  D. To conduct A/B testing on different cohorts of verbatims.

• Question 49:

  As a best practice, who should perform the data labeling?

  A. Data Scientists.
  B. Business Analysts.
  C. Subject Matter Experts.
  D. Automation RPA Developers.
  C. Subject Matter Experts.

• Question 50:

  How can you build custom models supported by AI Center?

  A. Using the AI Center IDE (Integrated Development Environment).
  B. Using the AI Center model builder.
  C. Using a Python IDE (Integrated Development Environment) or an AutoML platform.
  D. Using a C/C++ IDE (Integrated Development Environment), then upload the code to Al Center IDE.
  C. Using a Python IDE (Integrated Development Environment) or an AutoML platform.

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  Explanation/Reference:

  Building ML Packages

  The data scientists build pre-trained, models using Python or using an AutoML platform. Those models are consumed by RPA developers within a workflow.