PDF UiPath-ABAv1 Download | UiPath-ABAv1 Latest Exam Vce
PDF UiPath-ABAv1 Download | UiPath-ABAv1 Latest Exam Vce
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UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q79-Q84):
NEW QUESTION # 79
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. Rule-based extractor
- B. RegEx-based extractor
- C. Form-based extractor
- D. Model-based extractor
Answer: D
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 # 80
What is the purpose of creating an AS IS process map during the business analysis phase for RPA?
- A. To evaluate the feasibility of the automation solution
- B. To understand the current state of the business process
- C. To design the automation solution
- D. To identify potential automation opportunities
Answer: B
Explanation:
The purpose of creating an AS IS process map during the business analysis phase for RPA is to understand the current state of the business process. This mapping is crucial as it provides a detailed visualization of the process as it currently operates, including all steps, decision points, and interactions, which is essential for identifying inefficiencies and areas suitable for automation.
Reference: UiPath Documentation on Business Analysis at https://docs.uipath.com/.
NEW QUESTION # 81
What are the current technical limitations of Task Mining that the Business Analyst has to consider prior to the implementation?
- A. a. Avoid real-time applications
- B. a Avoid web applications
b Avoid processes involving heavily mainframe-type applications (green screen) - C. Avoid applications with user interfaces in other languages than English
- D. Avoid processes involving heavily mainframe-type applications (green screen)
- E. a Avoid Citrix environments
- F. Avoid applications with user interfaces in other languages than English
- G. a. Avoid applications written with legacy or out-of-support software.
b Avoid mobile applications
c Avoid applications with user interfaces in English - H. Avoid applications with heavy scripting transparent to the user
c Avoid applications with user interfaces in other languages than English
Answer: E
Explanation:
The current technical limitations of Task Mining that the Business Analyst must consider prior to implementation include: avoiding Citrix environments, avoiding processes involving heavily mainframe-type applications (green screen), and avoiding applications with user interfaces in languages other than English.
These factors can significantly impact the effectiveness and applicability of Task Mining technologies.References: UiPath Documentation on Task Mining athttps://docs.uipath.com/.
NEW QUESTION # 82
Where can you find details about business rules exceptions and how to be handled?
- A. In the PDD, in the As-Is Process Description
- B. In the Traceability Matrix
- C. In the PDD, in the To-Be Process Description
- D. In the Detailed As-Is Process Steps
Answer: C
Explanation:
Details about business rules exceptions and how they are to be handled can typically be found in the Process Design Document (PDD), specifically in the To-Be Process Description section. This section of the PDD outlines the future state of the process after automation, including how exceptions and business rules are managed. It provides a clear guide on how the automated process should handle different scenarios, including exceptions that may arise due to business rules1.
NEW QUESTION # 83
Which of the following statements would define the UAT planning phase in RPA?
- A. It is a phase during which a plan is developed for user acceptance testing of UiPath robots
- B. It is a phase during which UiPath software is installed and configured
- C. It is a phase during which employees are trained on how to use UiPath software
- D. It is a phase during which UiPath software is tested for performance and reliability
Answer: A
Explanation:
The UAT (User Acceptance Testing) planning phase in RPA defines a crucial stage where a plan is developed for testing UiPath robots by end-users to ensure they meet the business requirements and perform as expected. This phase is essential for validating the functionality and reliability of the automation before it goes live.
Reference: UiPath training materials from the UiPath Academy.
NEW QUESTION # 84
......
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