RELIABLE UIPATH-SAIV1 EXAM SIMS & UIPATH-SAIV1 RELIABLE REAL EXAM

Reliable UiPath-SAIv1 Exam Sims & UiPath-SAIv1 Reliable Real Exam

Reliable UiPath-SAIv1 Exam Sims & UiPath-SAIv1 Reliable Real Exam

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q14-Q19):

NEW QUESTION # 14
What fields are available when creating an Al Center project?

  • A. Name, description, and permissions.
  • B. Name, description, and labels.
  • C. Name and description.
  • D. Name and labels.

Answer: C

Explanation:
When creating an AI Center project in UiPath, the fields available to input are the project's name and description. These fields allow you to clearly label and describe the purpose of the AI project within the UiPath platform. Permissions and labels can be managed separately after the project is created


NEW QUESTION # 15
What is the definition of a UiPath Communications Mining data source?

  • A. A permissioned storage area within the platform which contains communications and labels.
  • B. A collection of raw unlabeled communications data of a similar type, that can be associated with up to 10 datasets.
  • C. A user-permissioned project containing a taxonomy with labels and entities.
  • D. The model that we create when training the platform to understand the data in those sources.

Answer: B


NEW QUESTION # 16
What are all the types of ML (Machine Learning) models supported by Al Center?

  • A. Out-of-the-box models from UiPath technology partners and custom models.
  • B. Out-of-the-box models from UiPath, UiPath technology partners, open-source models from the community, and custom models.
  • C. Out-of-the-box models from UiPath technology partners, and open-source models from the community.
  • D. Out-of-the-box models from UiPath and UiPath technology partners.

Answer: B

Explanation:
In UiPath AI Center, the platform supports several types of machine learning (ML) models, including:
* Out-of-the-box models from UiPath: Pre-built models designed for common automation tasks.
* Models from UiPath technology partners: External models developed by UiPath's partners.
* Open-source models: Community-contributed models that can be used and adapted for various use cases.
* Custom models: Models that users build and train specifically for their projects using their datasets.
This flexibility in model support ensures that organizations can leverage a wide range of machine learning capabilities to suit different automation needs.
For more details, refer to:
* UiPath AI Center Documentation: AI Center Models
* Machine Learning Model Types: Types of Models in UiPath AI Center


NEW QUESTION # 17
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 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.
  • C. 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.
  • D. 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.

Answer: B

Explanation:
Supervised learning is one of the most popular and widely used machine learning approaches. It involves providing the algorithm with labeled input/output pairs, which serve as examples of the desired behavior or outcome. The algorithm then learns a function that can generalize from these examples and make predictions for new, unseen data. Supervised learning can be used for tasks such as classification, regression, and anomaly detection. Some common supervised learning algorithms are linear regression, logistic regression, decision trees, support vector machines, and neural networks.
References:
* UiPath AI Fabric - Machine Learning Concepts
* UiPath Document Understanding - Machine Learning Models
* UiPath Communications Mining - Overview


NEW QUESTION # 18
What are all the ways to deploy Al Center?

  • A. In cloud availability, on-premises, hybrid mode (Al Center on-premise + cloud Orchestrator), and Automation Suite.
  • B. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (Al Center on-premise
    + Orchestrator on-premise). and Automation Suite.
  • C. In cloud availability, on-premises air-gapped, on-premises online, and hybrid mode {cloud Al Center + Orchestrator on-premise).
  • D. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (cloud Al Center + Orchestrator on-premise). and Automation Suite.

Answer: B

Explanation:
UiPath AI Center can be deployed in multiple ways to meet different organizational needs and infrastructures. The available deployment options include:
* Cloud availability: Using UiPath's cloud services.
* On-premises air-gapped: A fully isolated, offline environment for organizations with strict security requirements.
* On-premises online: Deployed on-premise but with internet connectivity.
* Hybrid mode: Combining on-premises AI Center with on-premises Orchestrator for flexibility.
* Automation Suite: A comprehensive deployment of UiPath tools, including AI Center.
For more details, refer to:
* UiPath AI Center Deployment Models: Deployment Options


NEW QUESTION # 19
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