UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 61:

  What can be found in the Images folder within the exported dataset coming from Document Manager?

  A. Each page of the exported documents saved as an image.
  B. Each page of the images of logs.
  C. Each page of the images used for schema configuration.
  D. Each page of the images of exported files.
  A. Each page of the exported documents saved as an image.

• Question 62:

  What are the required development activities that the Document Understanding Process contains in order to provide a template to speed up the implementation?

  A. Document Understanding, Error Handling, Post Processing, Export, and Testing.
  B. Document Understanding, Error Handling, Post Processing, Export, Testing, and Validation.
  C. Document Understanding, Error Handling, Post Processing, Testing, and Validation.
  D. Document Understanding, Error Handling, Post Processing, Orchestrator, Export, Testing, and Validation.
  B. Document Understanding, Error Handling, Post Processing, Export, Testing, and Validation.

• Question 63:

  Which of the following statements is a Best Practice when choosing an ML (Machine Learning) Model?

  A. Choosing the ML model with the highest number of parameters and layers is a best practice. More complexity always leads to better performance and accuracy because of the extra time and effort developers put into building the algorithm.
  B. Choosing the ML model that has been most used in previous projects is a best practice since the team can provide fast support if the project is not performing as expected, assuming it will be also suitable for the industry of the use case.
  C. Choosing the ML model based on research and analysis of available models is a best practice, considering factors like model performance, suitability for the task at hand, computational requirements, and compatibility with the customer license availability.
  D. Choosing the ML model that has the highest accuracy on a benchmark dataset is more important than a potentially unbalanced evaluation set provided by the customer.
  C. Choosing the ML model based on research and analysis of available models is a best practice, considering factors like model performance, suitability for the task at hand, computational requirements, and compatibility with the customer license availability.

• Question 64:

  Which of the following is an indicator that sufficient training has been completed for a model in UiPath Communications Mining?

  A. A model rating of 30-40.
  B. A model rating of 40-50.
  C. A model rating of 50-60.
  D. A model rating of 70-90 or better.
  D. A model rating of 70-90 or better.

• Question 65:

  What is supervised learning?

  A. Supervised 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. Supervised 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.
  C. Supervised 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. Supervised 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. Supervised 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.

• Question 66:

  Which statement accurately describes the utilization of out-of-the-box models in UiPath?

  A. Out-of-the-box models require extensive training and customization before they can be used effectively.
  B. Out-of-the-box models are custom-built models created specifically for each project.
  C. Out-of-the-box models are pre-trained models that cover a wide range of document types.
  D. Out-of-the-box models are only available for specific languages and cannot be adapted for multilingual documents.
  D. Out-of-the-box models are only available for specific languages and cannot be adapted for multilingual documents.

• Question 67:

  What are the requirements that must be fulfilled by a custom ML package containing the training and evaluation component?

  A. A folder containing the main.py file which implements the __init__(self) and predict(self, input) functions, the train.py file which implements the __init__(self), train(self, training_directory), evaluate(self, evaluation_directory) functions.
  B. A folder containing the main.py file which implements the __init__(self) and predict(self, input) functions, the train.py file which implements the __init__(self), train(self, training_directory), evaluate(self, evaluation_directory), save(self), and process_data(self, input_directory) functions, and the requirements.txt file which lists the dependencies needed to run the model.
  C. A folder containing the main.py file which implements the __init__(self), evaluate(self, evaluation_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
  D. A folder containing the main.py file which implements the __init__(self), train(self, training_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
  B. A folder containing the main.py file which implements the __init__(self) and predict(self, input) functions, the train.py file which implements the __init__(self), train(self, training_directory), evaluate(self, evaluation_directory), save(self), and process_data(self, input_directory) functions, and the requirements.txt file which lists the dependencies needed to run the model.

• Question 68:

  What does the Digitize step of the Document Understanding Framework do?

  A. It classifies the document into one of the predefined document types.
  B. It uses different extractors to process the document.
  C. It uses the Taxonomy Manager to define the document types and fields.
  D. It reads the text of the document using OCR if necessary.
  D. It reads the text of the document using OCR if necessary.

• Question 69:

  How many types of synchronization mechanisms exist in the Document Understanding Process to prevent multiple robots to write in a file at the same time?

  A. 2
  B. 3
  C. 4
  D. 5
  B. 3

• Question 70:

  DRAG DROP

  What is the order of steps for automatically retraining and deploying a Document Understanding ML Model in Al Center with data from Document Validation Action?

  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: