is incorrect. This analysis provides ability to see a range of values across several scenarios to identify risk in specific situation. It provides ability to identify those inputs which will provide the greatest level of uncertainty. Answer: D is incorrect. Cause-and-effect analysis involves the use of predictive or diagnostic analytical tool for exploring the root causes or factors that contribute to positive or negative effects or outcomes. These tools also help in identifying potential risk. Answer: A is incorrect. Sensitivity analysis is the quantitative risk analysis technique that: Assist in determination of risk factors that have the most potential impact Examines the extent to which the uncertainty of each element affects the object under consideration when all other uncertain elements are held at their baseline values

An incident is an unplanned event that disrupts or degrades the normal operation or performance of an IT service, system, or network1. An incident can cause various negative impacts, such as service outages, data losses, security breaches, or customer dissatisfaction2. An incident can recur if the underlying cause or problem of the incident is not properly identified and resolved3.
The best course of action to help reduce the probability of an incident recurring is to perform root cause analysis. Root cause analysis is a systematic process of finding and eliminating the fundamental cause or problem that led to the incident4. Root cause analysis can help to:
* Prevent or minimize the recurrence of the incident by addressing the source of the problem, not just the symptoms or effects
* Identify and implement corrective or preventive actions that can effectively resolve or mitigate the problem
* Learn from the incident and improve the IT service, system, or network quality and reliability
* Enhance the incident management and problem management processes and capabilities5 References = What is an Incident?, Incident Management - Wikipedia, Problem Management - Wikipedia, Root Cause Analysis - Wikipedia, Root Cause Analysis: A Guide for Business Leaders

Risk likelihood is most likely to be reassessed as a result of implementing a machine learning-based solution to monitor IT usage and analyze user behavior in an effort to detect internal fraud, as it may change the probability of fraud occurrence or detection, and affect the risk assessment and response. Risk culture, risk appetite, and risk capacity are not the most likely to be reassessed, as they are more stable and strategic aspects of risk management, and are not directly influenced by the implementation of a specific solution. References = CRISC Review Manual, 7th Edition, page 108.

Segregation of duties is a key control for preventing and detecting fraudulent transactions, especially in a large organization where there are many employees and transactions involved. Segregation of duties means that no single person has the authority or ability to initiate, approve, execute, and record a transaction without the involvement or oversight of another person. This reduces the opportunity and incentive for fraud, as well as the risk of errors or omissions. Segregation of duties also facilitates the detection of fraud by creating an audit trail and increasing the likelihood of whistleblowing.
The other options are not as effective as segregation of duties for mitigating risk related to fraudulent transactions. Monetary approval limits (B) are useful for controlling the amount and frequency of transactions, but they do not prevent unauthorized or fraudulent transactions from occurring. Clear roles and responsibilities
are important for defining the expectations and accountabilities of employees, but they do not ensure that employees comply with them or that their actions are monitored and verified. Password policies (D) are essential for securing access to systems and data, but they do not prevent fraudsters from exploiting weak or compromised passwords or from using legitimate passwords for fraudulent purposes.