The objective of aligning mitigating controls to risk appetite is to ensure that the cost of controls does not exceed the expected loss. The cost of controls is the amount of resources and efforts required to implement and maintain the controls that are designed to reduce the risk exposure. The expected loss is the estimated amount of loss or harm that may result from a risk event. The risk appetite is the amount and type of risk that an organization is willing to accept in pursuit of its objectives. By aligning mitigating controls to risk appetite, the organization can optimize the balance between the cost of controls and the expected loss, and avoid over- or under-investing in controls. Exposures being reduced to the fullest extent, exposures being reduced only for critical business systems, and insurance costs being minimized are other possible objectives, but they are not as relevant as the cost of controls not exceeding the expected loss. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 8; CRISC Review Manual, 6th Edition, page 97.

The greatest concern when establishing key risk indicators (KRIs) is using ineffective methods to assess risk.
KRIs are metrics that measure the likelihood and impact of risks, and help monitor and prioritize the most critical risks. To establish effective KRIs, the risk assessment methods should be reliable, valid, consistent, and timely. Ineffective methods to assess risk could lead to inaccurate or misleading KRIs, which could result in poor risk management decisions and outcomes. The other options are not as significant as using ineffective methods to assess risk, although they may also affect the quality and usefulness of KRIs. References = Risk and Information Systems Control Study Manual, Chapter 4, Section 4.4.1, page 4-36.

The best way to facilitate the implementation of data classification requirements is to assign a data owner. A data owner is a person who has the authority and responsibility for defining, classifying, and protecting the data. A data owner can help to facilitate the implementation of data classification requirements by providing the criteria, categories, roles, and procedures for classifying the data according to its sensitivity, value, and criticality. A data owner can also ensure that the data is handled and stored appropriately, and that the data classification policy is enforced and monitored. The other options are not as effective as assigning a data owner, as they are related to the prevention, audit, or control of the data, not the classification or protection of the data. References = Risk and Information Systems Control Study Manual, Chapter 4: Risk and Control Monitoring and Reporting, Section 4.4: Key Control Indicators, page 211.