UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 151:

  Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?

  A. A single entity value can be split across multiple paragraphs.
  B. If the entity value is correctly predicted, but the entity type is wrong, it cannot be changed.
  C. All of the entities within a paragraph should be reviewed.
  D. All of the entities in a communication must be reviewed.
  C. All of the entities within a paragraph should be reviewed.

• Question 152:

  Which Activities Package is required to create a Document Understanding process flow?

  A. UiPath.IntelligentOCR.Activities.
  B. UiPath.Documentunderstanding.ML.Activities.
  C. UiPath.DU.Activities.
  D. UiPath.UnderstandingDocuments.Activities.
  A. UiPath.IntelligentOCR.Activities.

• Question 153:

  Under what condition can a dataset be edited 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. There are no restrictions in editing a dataset.
  D. If it is not linked to any data labeling session.
  A. If it is not being used in any active pipeline.

• Question 154:

  Which environment variable is relevant for Evaluation pipelines?

  A. eval.enable_ocr
  B. eval.redo_ocr
  C. eval.enable_gpu
  D. eval.use_cuda
  B. eval.redo_ocr

• Question 155:

  When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?

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

• Question 156:

  What does the Export stage of the Document Understanding Framework do?

  A. Converts the result of extraction to a dataset or to a customized format.
  B. Allows a human to validate and correct the extracted data.
  C. Classifies the document as one of the predefined document types.
  D. Extracts the text out of the image document using OCR (Optical Character Recognition).
  A. Converts the result of extraction to a dataset or to a customized format.

• Question 157:

  What is one of the purposes of the Config file in the UiPath Document Understanding Template?

  A. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
  B. It stores the API keys and authentication credentials for accessing external services.
  C. It specifies the output file path and format for the processed documents.
  D. It defines the input document types and formats supported by the template.
  B. It stores the API keys and authentication credentials for accessing external services.

• Question 158:

  What information does the comparison between two cohorts display on the Comparison page in UiPath Communications Mining?

  A. Total verbatim count and proportion for each label.
  B. Entity count for each metadata.
  C. Verbatim content for each label.
  D. Differences in verbatim length between Group A and Group B.
  A. Total verbatim count and proportion for each label.

• Question 159:

  What is the definition of Deep Learning?

  A. 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.
  B. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
  C. 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. 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. 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.

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  Explanation/Reference:

  Deep learning is a subset of machine learning that uses multi-layered neural networks.

• Question 160:

  A Document Understanding Process is in production. According to best practices, what are the locations recommended for exporting the result files?

  A. Network Attached Storage and Orchestrator Bucket.
  B. Locally, Temp Folder, Network Attached Storage, and Orchestrator Bucket.
  C. Orchestrator Bucket and Queue Item.
  D. On a VM, Orchestrator Bucket, and Network Attached Storage.
  A. Network Attached Storage and Orchestrator Bucket.