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[Hardware] New UiPath-SAIAv1 Study Materials & UiPath-SAIAv1 Valid Examcollection

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【Hardware】 New UiPath-SAIAv1 Study Materials & UiPath-SAIAv1 Valid Examcollection

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DOWNLOAD the newest Actual4Labs UiPath-SAIAv1 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=10wph19wO6DJmUVIdnwOLT5cbKbWKwJh6
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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q171-Q176):NEW QUESTION # 171
What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?
  • A. Access detailed, queryable charts, statistics, and customizable dashboards.
  • B. Train models using unsupervised learning.
  • C. View, save, and modify dataset model versions.
  • D. Monitor model performance and receive recommendations.
Answer: A
Explanation:
Reference: UiPath Communication Mining Reports

NEW QUESTION # 172
What is the function of the Immediate Panel in UiPath Studio during the debugging process?
  • A. Displaying the performance analysis of all the operations, showing the execution time of each activity.
  • B. Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.
  • C. Displaying the next activity to be executed and its parent containers when the project is paused in debugging.
  • D. Modifying the values of variables and arguments at runtime during the debugging process.
Answer: B
Explanation:
Reference: UiPath Debugging Tools

NEW QUESTION # 173
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, and hybrid mode {cloud Al Center + Orchestrator on-premise).
  • C. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (Al Center on-premise
    + Orchestrator on-premise). and Automation Suite.
  • D. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (cloud Al Center + Orchestrator on-premise). and Automation Suite.
Answer: C
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 # 174
What are the two main data extraction methodologies used in document understanding processes?
  • A. Hybrid and manual data extraction.
  • B. Manual and model-based data extraction.
  • C. Rule-based and model-based data extraction.
  • D. Rule-based and hybrid data extraction.
Answer: C
Explanation:
According to the UiPath documentation, there are two common types of data extraction methodologies used in document understanding processes: rule-based data extraction and model-based data extraction12. Rule- based data extraction targets structured documents, such as forms, invoices, or receipts, that have a fixed layout and a predefined set of fields. Rule-based data extraction uses predefined rules, such as regular expressions, keywords, or coordinates, to locate and extract the relevant data from the documents1. Model- based data extraction is used to process semi-structured and unstructured documents, such as contracts, emails, or reports, that have a variable layout and a diverse set of fields. Model-based data extraction uses machine learning models, such as neural networks, to learn from examples and extract the relevant data from the documents1. Both methodologies have their advantages and limitations, and depending on the use case, they can be used separately or in combination, in a hybrid approach2.
References: 1: Data Extraction Overview 2: Document Processing with Improved Data Extraction

NEW QUESTION # 175
When designing the Taxonomy for document types, what should be a primary consideration?
  • A. Designing taxonomies without considering the need for post-processing rules.
  • B. Creating taxonomies that focus solely on scanned documents.
  • C. Focusing on creating separate taxonomies for each document type to avoid confusion.
  • D. Grouping as many document types under the same taxonomy as possible.
Answer: D
Explanation:
When designing a taxonomy for document types in UiPath, a key consideration is to structure it in a way that maximizes efficiency and reusability. Grouping related document types under the same taxonomy helps to simplify processing and reduce redundancy. This approach ensures that similar document types are treated consistently, making it easier to apply extraction methods and post-processing rules across different but related document types. Over-segmentation into separate taxonomies for each document type can lead to unnecessary complexity and confusion, making management and scaling of automation workflows more difficult. The goal is to create a cohesive structure that can handle various document types effectively.
(Source: UiPath Document Understanding and Communications Mining documentation)

NEW QUESTION # 176
......
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