FREE PDF QUIZ UIPATH - UIPATH-ABAV1 - HIGH HIT-RATE UIPATH CERTIFIED PROFESSIONAL AUTOMATION BUSINESS ANALYST PROFESSIONAL V1.0 EXAM SIMS

Free PDF Quiz UiPath - UiPath-ABAv1 - High Hit-Rate UiPath Certified Professional Automation Business Analyst Professional v1.0 Exam Sims

Free PDF Quiz UiPath - UiPath-ABAv1 - High Hit-Rate UiPath Certified Professional Automation Business Analyst Professional v1.0 Exam Sims

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UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q128-Q133):

NEW QUESTION # 128
How can you improve the accuracy of information extracted using UiPath Document Understanding ML Extractor?

  • A. By allowing users to create custom extraction rules
  • B. By using machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable
  • C. By providing a visual interface for manually verifying extracted information
  • D. By providing a central repository for storing and organizing documents

Answer: B

Explanation:
To improve the accuracy of information extracted using UiPath Document Understanding ML Extractor, you can use machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable. This approach allows the system to learn from corrections and variations, progressively enhancing its accuracy and reliability in data extraction.
Reference: UiPath Documentation on Document Understanding ML Extractor at https://docs.uipath.com/.


NEW QUESTION # 129
UiPath Process Mining provides TemplateOne application that offers different generic dashboards containing information, KPIs, and analysis functionality focused on a specific process area What are the 3 standard KPIs part of the Automation Dashboard within the TemplateOne application?

  • A. Automation Rate, Material Group Count. Avg. throughput time
  • B. Automation Rate, Total Manual Processing time. Total Manual event cost
  • C. Automation Rate, Total Manual event cost. Intercompany case value
  • D. Automation Rate, Total Manual Processing time Supplier Avg. Time

Answer: B

Explanation:
In the TemplateOne application provided by UiPath Process Mining, the Automation Dashboard includes the following three standard KPIs: Automation Rate, Total Manual Processing Time, and Total Manual Event Cost. These KPIs help in assessing the efficiency and cost-effectiveness of manual vs automated processes within an organization.References: UiPath Documentation on Process Mining and TemplateOne athttps://docs.uipath.com/.


NEW QUESTION # 130
Is it possible to use a third-party ML model with AI Center?

  • A. Yes, but it cannot use a GPU in that case.
  • B. No, you can only use the ML models available within AI Center.
  • C. Yes, but only if AI Center is deployed on-premise.
  • D. Yes, by creating a custom package that uses the third-party model.

Answer: D

Explanation:
UiPath AI Center provides flexibility for integrating third-party ML models into its framework. Here's how:
Third-Party Model Integration: Users can create a custom package for AI Center that incorporates a third-party model. This involves exporting the model in a compatible format (e.g., ONNX or TensorFlow SavedModel) and wrapping it into a package deployable in AI Center.
Scenarios for Usage: This is especially useful when businesses already have proprietary models developed externally or sourced from other vendors. These can be fine-tuned and deployed alongside UiPath's RPA workflows.
Infrastructure Consideration: While deploying on-premises provides better control over model usage and performance, AI Center supports GPU acceleration and third-party model integration across different deployment modes, ensuring scalability and processing efficiency.
This approach allows businesses to maintain the versatility of their ML pipelines and integrate advanced analytics with minimal disruption to their existing automation setup.


NEW QUESTION # 131
Which feature in UiPath Process Mining allows for the adaptation of data used in a process app according to custom data understanding, as well as the creation of new KPIs?

  • A. Data Manager
  • B. Process Manager
  • C. App Manager
  • D. Chart Manager

Answer: A

Explanation:
Data Manager in UiPath Process Mining:
The Data Manager feature is designed to adapt, clean, and transform data imported into Process Mining.
It allows users to:
Define custom logic for data interpretation.
Create new KPIs based on process insights.
Tailor data to fit specific business requirements and use cases.
Option Analysis:
App Manager (A): Used to manage process apps, but not for data adaptation or KPI creation.
Process Manager (B): Oversees process modeling, not data handling.
Chart Manager (C): Focuses on creating and managing visual representations, not transforming data.
Correct Option (D): Data Manager is specifically designed for handling and adapting process data to enhance insights and custom KPI creation.


NEW QUESTION # 132
Which of the following principles applies during the Process Documentation stage?

  • A. Including more scenarios and business rules should be done after the first review
  • B. High-level process map should be created only after the To-Be process map is done
  • C. A minimum of one review is required
  • D. Sign-Off is not mandatory if the feedback was implemented after review.

Answer: C

Explanation:
During the Process Documentation stage, it is a best practice and often a requirement to have at least one review of the documentation created, such as the Process Design Document (PDD). This ensures that all stakeholders agree on the process as documented and that it accurately represents the business needs and technical requirements.References: UiPath Documentation on Process Documentation at
https://docs.uipath.com/.


NEW QUESTION # 133
......

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