UIPATH-ABAV1 LATEST TEST SAMPLE - 2025 FIRST-GRADE UIPATH UIPATH-ABAV1 LATEST TEST PREP 100% PASS

UiPath-ABAv1 Latest Test Sample - 2025 First-grade UiPath UiPath-ABAv1 Latest Test Prep 100% Pass

UiPath-ABAv1 Latest Test Sample - 2025 First-grade UiPath UiPath-ABAv1 Latest Test Prep 100% Pass

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UiPath UiPath-ABAv1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Working with Files and Folders: Creating, managing, and iterating through local files and folders are covered here.
Topic 2
  • Workflow Analyzer: This topic covers the use of Workflow Analysis, along with configuring Workflow Analyzer settings.
Topic 3
  • Integration Service: This topic explains Integration Service, use of integration service connectors, triggers, and the Integration Service Connector Builder.
Topic 4
  • Debugging: Debugging modes, actions, breakpoints, and debugging panels are explained in this topic, along with using Profile Execution features to improve project execution performance.
Topic 5
  • Version Control Integration: It focuses on utilizing Git integration in Studio to add a project, clone a repository is explained, including common Git operations.
Topic 6
  • Excel Automation: It explains Excel Automation principles and modern Excel integration including reading, writing, and manipulating Excel files. Additionally, the topic focuses on the usage of the Excel Workbook activities.
Topic 7
  • Orchestrator: Understanding Orchestrator entities, tenant entities, provisioning robots, defining roles, and utilizing logging features are covered in this topic.
Topic 8
  • Libraries and Templates: Creating, publishing, and consuming process libraries, as well as working with templates, are discussed here.
Topic 9
  • UI Automation: UI Automation principles, including modern and classic design experiences, are discussed alongside utilizing modern recorder and input
  • output activities.
Topic 10
  • Data Manipulation: String manipulation, array operations, list initialization, dictionary usage, and DataTable operations are discussed in this topic.
Topic 11
  • Object Repository: Creation, publication, and consumption of UI libraries with static and dynamic descriptors are covered in this section.

UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which of the following statements is true considering Attended vs Unattended Automation?

  • A. Attended Automation works with UI elements but always expects the user to input the passwords.
  • B. Unattended Automation can work with UI elements.
  • C. When using Attended Automation, you always have to ask for human input.
  • D. Unattended Automations using UI need to be converted to Attended Automations.

Answer: B

Explanation:
Unattended Automation and UI Elements:
Unattended robots can work with UI elements by simulating user interactions, such as clicks and data entry.
They can operate autonomously without requiring human intervention, provided access and permissions are configured.
Option Analysis:
Option A: Attended Automation may involve human input but does not always require it.
Option C: UI-based unattended automations do not need conversion to attended automations.
Option D: Attended automations can work with UI elements but do not inherently require manual password input.
Correct Option (B): Accurately describes that Unattended Automation supports working with UI elements without manual involvement.
Relevance: Understanding this distinction helps align robot types with process requirements in RPA design.


NEW QUESTION # 44
For text assets, is there any character limit for the Global Value Field?

  • A. Yes, this field allows for up to 1000000 characters
  • B. Yes. this field allows for up to 4000 characters
  • C. Yes, this field allows for up to 100000 characters
  • D. No. there is no such limit

Answer: B

Explanation:
For text assets in UiPath, there is a character limit for the Global Value Field, which allows for up to 4000 characters. This limit is important for managing data sizes and ensuring performance and stability within the UiPath Orchestrator environment.References: UiPath Documentation on Assets Management athttps://docs.uipath.com/.


NEW QUESTION # 45
You are a Business Analyst tasked to analyze the feasibility of automating a process that takes as input a few hundred invoices per day. The invoices are received from a few dozen vendors. What is the best data extraction method for this process, keeping in mind the robustness of the process?
ACME Corporation
Beep freep/ Outsmart the competition
123 Road Runner Lane Desert City. AZ 85001 Phone: (800) 555-1234
TO:
Wile E Coyote
456 Canyon Chase Desert City. AZ 85002
INVOICE
INVOICE #20240731-001 DATE: 2024-07-31 DUE DATE: 2024-08-15
SHIP TO:
Wile E Coyote 456 Canyon Chase
Desert City, AZ 85002
QUANTITY DESCRIPTION UNIT PRICE TOTAL
2 ACME Rocket Skates $125 $250
1 ACME Giant Rubber Band (for tripping Road Runners) $45 $45
3 ACME Dynamite Kit $35 $105
1 ACME Anvil $75 $75
5 ACME Bird Seed $5 $25
SUBTOTAL SALES TAX (8 6%) SHIPPING & HANDLING TOTAL DUE $500
$43
$10
$553
Make all checks payable to ACME Corporation
If you have any questions concerning this invoice, contact Road Runner
THANK YOU FOR YOUR BUSINESS!

  • A. Model-based extractor
  • B. Rule-based extractor
  • C. RegEx-based extractor
  • D. Form-based extractor

Answer: A

Explanation:
Understanding the Scenario:
The process involves handling a few hundred invoices per day from several dozen vendors.
Each vendor likely uses different invoice templates, formats, and layouts, leading to high variability in input data.
The goal is to implement a robust and scalable data extraction method.
Why Model-Based Extractor is the Best Choice:
Model-based extractors leverage machine learning models trained on various document templates, making them ideal for diverse and semi-structured data like invoices.
The machine learning model can adapt to multiple formats and intelligently extract required data fields (e.g., invoice numbers, dates, line items, totals).
It ensures scalability as new vendor templates are introduced-additional training allows the model to learn new patterns effectively.
Comparison with Other Options:
Form-Based Extractor (Option A): Effective for extracting data from fixed, structured forms with minimal layout changes. It is not suitable for invoices with varying designs.
Rule-Based Extractor (Option C): Relies on static rules for data extraction. This approach fails to handle complex layouts or adapt to variations across dozens of vendor templates.
RegEx-Based Extractor (Option D): Uses regular expressions for specific patterns but is labor-intensive and error-prone for datasets with multiple formats and inconsistent structures.
Additional Benefits of Model-Based Extractor:
Can detect and extract data from images and scanned PDFs using OCR (Optical Character Recognition).
Reduces the time and effort required for manual intervention and template-specific configuration.
Relevance in UiPath Ecosystem:
UiPath's Document Understanding Framework includes AI-powered model-based extractors, designed to efficiently process a wide range of document types like invoices, purchase orders, and receipts.
By utilizing a model-based extractor, you ensure that the solution is robust, scalable, and capable of handling the high volume and variability of invoices effectively.


NEW QUESTION # 46
UiPath Process Mining offers the feature of simulating automation potential. Which of the following three elements you can find in the Automation Potential dashboard?

  • A. Automation Rate, Manual Processing Time. FTE
  • B. Automation Rate, Manual Processing Time. Number of cases
  • C. Automation Rate, Total case value, FTE
  • D. Automation Rate, Avg number of events, FTE

Answer: A

Explanation:
In the UiPath Process Mining's Automation Potential dashboard, the elements you can find include Automation Rate, Manual Processing Time, and FTE (Full-Time Equivalent). These metrics provide insights into the efficiency of the processes, potential time savings through automation, and the impact on workforce requirements, aiding in strategic decision-making for automation investments.
Reference: UiPath Documentation on Process Mining at https://docs.uipath.com/.


NEW QUESTION # 47
What are the current technical limitations of Task Mining that the Business Analyst has to consider prior to the implementation?

  • A. a Avoid web applications
    b Avoid processes involving heavily mainframe-type applications (green screen)
  • B. Avoid applications with user interfaces in other languages than English
  • C. Avoid applications with heavy scripting transparent to the user
    c Avoid applications with user interfaces in other languages than English
  • D. Avoid processes involving heavily mainframe-type applications (green screen)
  • E. a. Avoid applications written with legacy or out-of-support software.
    b Avoid mobile applications
    c Avoid applications with user interfaces in English
  • F. a Avoid Citrix environments
  • G. a. Avoid real-time applications
  • H. Avoid applications with user interfaces in other languages than English

Answer: F


NEW QUESTION # 48
......

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