RPA EXAM SCRIPT BUNDLE 2026 QUESTIONS
WITH SOLUTIONS GRADED A+
◉ Which of the following is a key security concern when deploying
bots in a healthcare setting?
A. Ensuring that bots have access to all patient data across
departments.
B. Managing bot credentials and ensuring compliance with
healthcare regulations like HIPAA.
C. Automating the security protocols for bots to reduce manual
oversight.
D. Integrating AI to allow bots to make secure decisions on behalf of
medical professionals. Answer: B. Managing bot credentials and
ensuring compliance with healthcare regulations like HIPAA.
◉ What is a common challenge after automating a process using
RPA in healthcare?
A. Bots are unable to handle repetitive tasks efficiently without
constant IT intervention.
B. Lack of governance or oversight in scaling RPA efforts across
multiple departments.
C. Bots taking over critical decision-making roles usually performed
by senior employees.
,D. Bots becoming obsolete quickly due to rapid changes in
healthcare protocols. Answer: B. Lack of governance or oversight in
scaling RPA efforts across multiple departments.
◉ Which of the following is an example of an internal RPA use case?
A. Automating customer service chat responses across multiple
platforms.
B. Processing high-volume customer credit card disputes to
minimize manual work.
C. Automating the generation of internal financial reports for audits
and compliance.
D. Handling insurance claims processing for external stakeholders.
Answer: C. Automating the generation of internal financial reports
for audits and compliance.
◉ In which industry is RPA commonly used to automate credit card
disputes?
A. Manufacturing and production.
B. Financial services, such as retail banking and credit card
companies.
C. Healthcare and insurance.
D. Government and public sector. Answer: B. Financial services, such
as retail banking and credit card companies.
, ◉ Which of the following industries benefits most from RPA in
processing multiple systems and stakeholders?
A. Healthcare, where multiple systems (hospitals, insurers, etc.)
require automation.
B. Automotive, where robots can automate physical manufacturing
tasks.
C. Retail, where online transactions are processed in real-time.
D. Real estate, where managing tenant data across properties is
automated. Answer: A. Healthcare, where multiple systems
(hospitals, insurers, etc.) require automation.
◉ What enables the rapid scaling of RPA within organizations?
A. Having a team of developers who continuously build and deploy
bots across departments.
B. Relying on IT to oversee bot deployment while reducing the need
for process documentation.
C. Starting with a few successful bots and expanding quickly by
providing adequate training and monitoring.
D. Automating every single department simultaneously to maximize
the use of bots. Answer: C. Starting with a few successful bots and
expanding quickly by providing adequate training and monitoring.
◉ Which of the following is NOT a risk associated with scaling RPA
too quickly?A. Increased dependency on bots leading to over-
automation without sufficient governance.
WITH SOLUTIONS GRADED A+
◉ Which of the following is a key security concern when deploying
bots in a healthcare setting?
A. Ensuring that bots have access to all patient data across
departments.
B. Managing bot credentials and ensuring compliance with
healthcare regulations like HIPAA.
C. Automating the security protocols for bots to reduce manual
oversight.
D. Integrating AI to allow bots to make secure decisions on behalf of
medical professionals. Answer: B. Managing bot credentials and
ensuring compliance with healthcare regulations like HIPAA.
◉ What is a common challenge after automating a process using
RPA in healthcare?
A. Bots are unable to handle repetitive tasks efficiently without
constant IT intervention.
B. Lack of governance or oversight in scaling RPA efforts across
multiple departments.
C. Bots taking over critical decision-making roles usually performed
by senior employees.
,D. Bots becoming obsolete quickly due to rapid changes in
healthcare protocols. Answer: B. Lack of governance or oversight in
scaling RPA efforts across multiple departments.
◉ Which of the following is an example of an internal RPA use case?
A. Automating customer service chat responses across multiple
platforms.
B. Processing high-volume customer credit card disputes to
minimize manual work.
C. Automating the generation of internal financial reports for audits
and compliance.
D. Handling insurance claims processing for external stakeholders.
Answer: C. Automating the generation of internal financial reports
for audits and compliance.
◉ In which industry is RPA commonly used to automate credit card
disputes?
A. Manufacturing and production.
B. Financial services, such as retail banking and credit card
companies.
C. Healthcare and insurance.
D. Government and public sector. Answer: B. Financial services, such
as retail banking and credit card companies.
, ◉ Which of the following industries benefits most from RPA in
processing multiple systems and stakeholders?
A. Healthcare, where multiple systems (hospitals, insurers, etc.)
require automation.
B. Automotive, where robots can automate physical manufacturing
tasks.
C. Retail, where online transactions are processed in real-time.
D. Real estate, where managing tenant data across properties is
automated. Answer: A. Healthcare, where multiple systems
(hospitals, insurers, etc.) require automation.
◉ What enables the rapid scaling of RPA within organizations?
A. Having a team of developers who continuously build and deploy
bots across departments.
B. Relying on IT to oversee bot deployment while reducing the need
for process documentation.
C. Starting with a few successful bots and expanding quickly by
providing adequate training and monitoring.
D. Automating every single department simultaneously to maximize
the use of bots. Answer: C. Starting with a few successful bots and
expanding quickly by providing adequate training and monitoring.
◉ Which of the following is NOT a risk associated with scaling RPA
too quickly?A. Increased dependency on bots leading to over-
automation without sufficient governance.
