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Quiz 2025 UiPath Pass-Sure UiPath-ABAv1: New UiPath Certified Professional Automation Business Analyst Professional v1.0 Test Objectives

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UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q127-Q132):

NEW QUESTION # 127
What is the difference between training an ML model using a CPU versus using a GPU in UiPath Cloud Platform?

A. Training a model using a GPU is around five times faster than using a CPU
B. Training a model using a GPU is around five times slower than using a CPU
C. You can train multiple models on the same GPU at the same time
D. Training a model using a GPU provides more accurate results

Answer: A

Explanation:
In the context of UiPath Cloud Platform, training a machine learning (ML) model using a GPU (Graphics Processing Unit) is significantly faster than using a CPU (Central Processing Unit). This is because GPUs are designed to handle parallel processing, which is highly beneficial for the matrix and vector computations required in ML model training. GPUs can perform more calculations simultaneously compared to CPUs, leading to faster training times, especially with large and complex datasets1.
The UiPath documentation specifically recommends using GPU training for large and production datasets, as CPU training is much slower and should be used sparingly, for small datasets for demo or testing purposes1.
This aligns with the general understanding that for deep learning training, GPUs should be used due to their significant speed advantage over CPUs23.
References: The information is verified as per the UiPath Documentation Portal and other reliable sources that discuss the advantages of using GPUs over CPUs for ML model training123.

NEW QUESTION # 128
What event can affect selector reliability in automations?

A. Automation target applications being updated
B. An increase in the volume of transactions
C. An update to the UiPath Robot running the automation
D. Target applications changing their position on the screen

Answer: A

Explanation:
An event that can affect selector reliability in automations is the target applications being updated. Updates to applications can alter the UI elements and structures that selectors depend on, leading to failures in identifying these elements during automation execution.References: UiPath Documentation on Selector Reliability at
https://docs.uipath.com/.

NEW QUESTION # 129
What should be done when the process documentation is missing?

A. Create a checklist to ensure the documentation is accurate and consistent
B. Increase the time dedicated for process development
C. Identify the right SMEs and decision makers in order to gather the necessary information
D. Look at every possible impact that might be generated by accepting the change

Answer: C

Explanation:
When the process documentation is missing, it is crucial to identify the right Subject Matter Experts (SMEs) and decision-makers in order to gather the necessary information. This approach ensures that accurate, comprehensive, and relevant data about the process are collected to create or update the missing documentation effectively.References: UiPath Documentation on Process Documentation at
https://docs.uipath.com/.

NEW QUESTION # 130
For what kind of documents is the ML approach recommended'?

A. Unstructured or semi-structured documents in which layouts of different documents vary greatly
B. Unstructured or fixed-form documents in which layouts of different documents vary greatly
C. Unstructured or fixed-form documents in which layouts of different documents are exactly the same
D. Structured or semi-structured documents in which layouts of different documents are exactly the same

Answer: A

Explanation:
The Machine Learning (ML) approach in UiPath Document Understanding is particularly recommended for dealing with unstructured or semi-structured documents where the layouts vary significantly between different document providers. The ML models are designed to learn and infer values for targeted fields, even from documents with layouts they have not encountered before. This makes the ML approach suitable for scenarios where documents do not follow a consistent text or layout pattern1.

NEW QUESTION # 131
From a Document Understanding perspective, what kind of document is the one below?
Invoice Content:
ACME Corporation
Beep peep/ 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

A. Structured
B. Fixed structured format
C. Semi-unstructured
D. Semi-structured

Answer: D

Explanation:
Understanding Semi-Structured Documents:
Semi-structured documents, such as invoices, contain a mix of fixed fields (e.g., "Invoice #", "Date", "Total Due") and variable content (e.g., line items or descriptions).
The layout is consistent, but the number of items or specific details can vary between documents.
Analysis of the Provided Example:
The invoice contains a structured header with fields like "Invoice #", "Date", and "Due Date".
The line items section varies depending on the products and quantities.
Option Analysis:
Structured (B): Incorrect, as fully structured documents have fixed layouts with no variability.
Fixed structured format (C): Incorrect, as the variability in line items disqualifies this.
Semi-unstructured (D): Incorrect, as this refers to documents with highly variable layouts like free-form emails.
Correct Option (A): Invoices are classic examples of semi-structured documents.

NEW QUESTION # 132
......

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Don't Miss Golden Opportunity–Download UiPath UiPath-ABAv1 Dumps Now at Affordable Rates

Quiz 2025 UiPath Pass-Sure UiPath-ABAv1: New UiPath Certified Professional Automation Business Analyst Professional v1.0 Test Objectives

UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q127-Q132):

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