UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 31:

  When dealing with variable-length data, or data spanning over multiple pages of the document (e.g. item tables), what is the recommended data extraction methodology to be used?

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

• Question 32:

  Which is the most suitable extractor for extracting data from a survey?

  A. The Regex Based Extractor.
  B. The Intelligent Form Extractor.
  C. The Machine Learning Extractor.
  D. FlexiCapture Extractor.
  B. The Intelligent Form Extractor.

• Question 33:

  What is the page unit cost per extracted page for the ML Extractor?

  B. 0.2
  C. 0.5
  D. 1
  B. 0.2

• Question 34:

  What is unsupervised learning?

  A. Unsupervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments. There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).
  B. Unsupervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data. There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.
  C. Unsupervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables. In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.
  D. Unsupervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system of rewards and punishments. There are no correct answers, but feedback is given in the form of rewards and penalties.
  B. Unsupervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data. There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.

• Question 35:

  What happens during the Classify stage of the Document Understanding Framework?

  A. The OCR engine is used to extract text from the image document.
  B. The extracted data is exported as a dataset.
  C. The target fields are extracted from the document and sent to Action Center for human validation.
  D. The documents are included in one of the taxonomy document types or skipped.
  D. The documents are included in one of the taxonomy document types or skipped.

• Question 36:

  What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

  A. OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position, while IntelligentOCR is an enhanced version of it that can also work with noisier input data.
  B. IntelligentOCR is simply a rebranding of the OCR (Optical Character Recognition), both of them being methods that read text from images, recognizing each character and its position.
  C. OCR (Optical Character Recognition) is a UiPath Studio activity package that contains IntelligentOCR as an activity used to read text from images, recognizing each character and its position. OCR is widely used in Document Understanding processes.
  D. IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.
  D. IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.

• Question 37:

  What is the order of magnitude when looking at UiPath Communications Mining objects?

  A. Message < Source < Dataset < Project
  B. Source < Message < Project < Dataset
  C. Message < Dataset < Source < Project
  D. Source < Dataset < Message < Project
  C. Message < Dataset < Source < Project

• Question 38:

  What are the available content types for the Column field in Document Manager?

  A. String, Number, Date, Phone, Currency.
  B. String, Number, Date, Phone, id-no.
  C. String, Number, Double, Date, Currency.
  D. String, Number, Long Number, Date, Boolean.
  A. String, Number, Date, Phone, Currency.

• Question 39:

  Which role consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package?

  A. Data Scientist.
  B. Administrator.
  C. RPA Developer.
  D. Process Controller.
  C. RPA Developer.

• Question 40:

  Which solutions are combined within UiPath Communications Mining?

  A. Machine learning (ML), Robotics Process Automation (RPA), employee-led supervised learning, and custom development tools.
  B. Machine learning (ML), natural language processing (NLP), employee-led supervised learning, and custom development tools.
  C. Machine learning (ML), natural language processing (NLP), employee-led supervised learning, and no-code interface.
  D. Machine learning (ML), Robotics Process Automation (RPA), employee-led supervised learning, and no-code interface.
  B. Machine learning (ML), natural language processing (NLP), employee-led supervised learning, and custom development tools.