End-user computing (EUC) is a system in which users are able to create working applications besides the divided development process of design, build, test and release that is typically followed by software engineers1. Examples of EUC tools include spreadsheets, databases, low-code/no-code platforms, and generative AI applications2. EUC tools can provide flexibility, efficiency, and innovation for the users, but they also pose significant risks if not properly managed and controlled3.
The greatest risk when relying on reports generated by EUC is that the data may be inaccurate. Data accuracy refers to the extent to which the data in the reports reflect the true values of the underlying information4.
Inaccurate data can lead to erroneous decisions, misleading analysis, unreliable reporting, and compliance violations. Some of the factors that can cause data inaccuracy in EUC reports are:
Lack of rigorous testing: EUC tools may not undergo the same level of testing and validation as IT-developed applications, which can result in errors, bugs, or inconsistencies in the data processing and output3.
Lack of version and change control: EUC tools may not have a clear record of the changes made to them over time, which can create confusion, duplication, or loss of data. Users may also modify or overwrite the data without proper authorization or documentation3.
Lack of documentation and reliance on end-user who developed it: EUC tools may not have sufficient documentation to explain their purpose, functionality, assumptions, limitations, and dependencies. Users may also rely on the knowledge and expertise of the original developer, who may not be available or may not have followed best practices3.
Lack of maintenance processes: EUC tools may not have regular updates, backups, or reviews to ensure their functionality and security. Users may also neglect to delete or archive obsolete or redundant data3.
Lack of security: EUC tools may not have adequate access controls, encryption, or authentication mechanisms to protect the data from unauthorized access, modification, or disclosure. Users may also store or share the data in insecure locations or devices3.
Lack of audit trail: EUC tools may not have a traceable history of the data sources, inputs, outputs, calculations, and transformations. Users may also manipulate or falsify the data without detection or accountability3.
Overreliance on manual controls: EUC tools may depend on human intervention to input, verify, or correct the data, which can introduce errors, delays, or biases. Users may also lack the skills or training to use the EUC tools effectively and efficiently3.
The other options are not as great as data inaccuracy when relying on EUC reports. Reports may not work efficiently, reports may not be timely, and historical data may not be available are all potential risks associated with EUC tools, but they are less severe and less frequent than data inaccuracy. Moreover, these risks can be mitigated by improving the performance, scheduling, and storage of the EUC tools. However, data inaccuracy can have a pervasive and lasting impact on the quality and credibility of the reports and the decisions based on them. Therefore, option A is the correct answer.
References:
What is Data Accuracy?
What Is End User Computing (EUC) Risk?
End-user computing
End-User Computing (EUC) Risks: A Comprehensive Guide

The best approach for management in developing a test plan is to use processing parameters that are simulated by production entities and customers. This is because using realistic data and scenarios can help to evaluate the functionality, performance, reliability, and security of the new system under actual operating conditions and expectations. Using processing parameters that are randomly selected by a test generator, provided by the vendor of the application, or randomly selected by the user may not be sufficient or representative of the production environment and may not reveal all the potential issues or defects of the new system. References: [ISACA CISA Review Manual 27th Edition], page 266.

The correct answer is B. Recovery point objective (RPO).
RPO is the best answer because the question focuses on data availability. RPO defines the point in time to which data must be recoverable after a disruption. In practical terms, it determines how much data loss the organization can tolerate and therefore influences the data backup, replication, synchronization, and recovery approach.
ISACA's contingency planning guidance states that RPO represents the point in time before a disruption to which business process data can be recovered, based on the most recent backup copy. ISACA also explains that RPO is a factor of how much data loss the mission or business process can tolerate during recovery.
Option A is not the best answer because MTO addresses how long a critical function or system can be disrupted before significant harm occurs. It is more focused on outage duration than data currency. Option C is not the best answer because cost-benefit analysis helps choose among recovery options, but it does not define the data recovery requirement. Option D is not the best answer because SDO refers to the level of service required during alternate processing until normal operations are restored. ISACA's glossary distinguishes MTO and SDO from RPO.
This question maps to Information Systems Operations and Business Resilience, because ISACA's CISA Exam Content Outline includes business continuity, disaster recovery, data backup, storage, and restoration under Domain 4.
References: ISACA CISA Exam Content Outline, Domain 4; ISACA Journal, Information System Contingency Planning Guidance; ISACA Interactive Glossary, "Maximum tolerable outage" and "Service delivery objective."

In a controlled application development environment, the most important segregation of duties should be between the person who implements changes into the production environment and the application programmer. This segregation of duties ensures that no one person can create and deploy code without proper review, testing, and approval. This reduces the risk of errors, fraud, or malicious code being introduced into the production environment.
The other options are not as important as the segregation between the application programmer and the person who implements changes into production, but they are still relevant for achieving a secure and reliable application development environment. The segregation of duties between the person who implements changes into production and the systems programmer is important to prevent unauthorized or untested changes to system software or configuration. The segregation of duties between the person who implements changes into production and the computer operator is important to prevent unauthorized or uncontrolled access to production data or resources. The segregation of duties between the person who implements changes into production and the quality assurance (QA) personnel is important to ensure independent verification and validation of code quality and functionality.
References:
* ISACA CISA Review Manual 27th Edition (2019), page 247
* Segregation of Duties in an Agile Environment | AKF Partners3
* Separation of Duties: How to Conform in a DevOps World4