The data owner is accountable for the confidentiality of the data that is outsourced to a third party with servers located in a foreign country. The data owner is the person or entity that has the authority and responsibility to classify, label, and protect the data according to the organization's policies and standards.
The data owner is also responsible for defining the data access rights and privileges, and for ensuring that the data is handled in compliance with the applicable laws and regulations. The data owner retains the accountability for the data even when it is outsourced to a third party, and must monitor and evaluate the security performance and compliance of the service provider. The third-party data custodian, the data custodian, and the regional office executive are not accountable for the confidentiality of the data, as they have different roles and responsibilities in the outsourcing process. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 5, Section 5.2.1.2, page 2461
1: ISACA Certified in Risk and Information Systems Control (CRISC) Exam Guide, Answer to Question
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Introducing recovery control procedures is the best way to address the risk of an outage of the fraud detection system for an online payment processor, because it helps to restore the functionality and availability of the system as quickly and effectively as possible, and to minimize the impact and disruption to the business operations and customers. A fraud detection system is a system that monitors and analyzes the transactions and activities of an online payment processor, and detects and prevents any fraudulent or suspicious behavior, such as identity theft, money laundering, or chargebacks. An outage is a situation where the system is unavailable or inaccessible, due to factors such as technical failure, human error, or malicious attack. An outage of the fraud detection system may have severe consequences for the online payment processor, such as financial losses, reputational damage, customer dissatisfaction, or regulatory penalties. A recovery control procedure is a procedure that defines the steps and actions to be taken to recover the system from an outage, such as identifying the root cause, isolating the affected components, restoring the data and functionality, testing the system, and reporting the incident. Introducing recovery control procedures is the best way to address the risk, as it helps to ensure that the system is back online and operational as soon as possible, and that the risk exposure and impact are reduced and contained. Implementing continuous control monitoring, communicating the risk to management, and documenting a risk response plan are all possible ways to address the risk, but they are not the best way, as they do not directly address the recovery of the system from an outage, and they may not be sufficient or effective to mitigate the risk. References = Risk and Information Systems Control Study Manual, Chapter 5, Section 5.4.1, page 208

A key performance indicator (KPI) is a measurable value that demonstrates how effectively an organization is achieving its objectives. In the context of disaster recovery planning (DRP), a KPI should reflect the ability of the organization to recover its critical business processes and applications within the predefined time frames and service levels. One of the most important KPIs for DRP is the percentage of applications that met the recovery time objective (RTO) during DRP testing. The RTO is the maximum acceptable length of time that a business process or application can be down after a disaster. By measuring the percentage of applications that met the RTO during DRP testing, the organization can evaluate the performance and reliability of its DRP, identify any gaps or weaknesses, and implement corrective actions to improve its readiness and resilience.
The other options are not the best KPIs for DRP, as they do not directly measure the effectiveness of the recovery process. The number of users that participated in the DRP testing is a measure of the involvement and awareness of the staff, but not of the outcome of the testing. The number of issues identified during DRP testing is a measure of the quality and completeness of the DRP, but not of the actual recovery time. The percentage of issues resolved as a result of DRP testing is a measure of the improvement and maturity of the DRP, but not of the current recovery capability. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 3, Section 3.2.3.3, Page 138.

The best way to ensure the effective decision-making of an IT risk management committee is to enroll key stakeholders as members. Key stakeholders are the individuals or groups who have an interest or influence in the IT risk management process, such as business owners, senior management, IT managers, auditors, regulators, customers, and suppliers. By involving key stakeholders in the IT risk management committee, the committee can benefit from their diverse perspectives, expertise, and experience, and ensure that the IT risk management decisions are aligned with the business objectives, priorities, and expectations. Key stakeholders can also provide valuable input, feedback, and support for the IT risk management activities, and help communicate and implement the IT risk management decisions across the organization. References = CRISC Review Manual, 6th Edition, ISACA, 2015, page 36.

Applying risk appetite is the most important topic to cover in a training session to communicate risk assessment methodologies. Risk appetite is the amount and type of risk that an organization is willing to accept in pursuit of its objectives. It is a key element of the risk management framework and influences the risk assessment process. Applying risk appetite helps to ensure a consistent risk view within the organization by providing a common basis for evaluating and prioritizing risks, aligning risk responses with business goals, and communicating risk information to stakeholders. The other options are not the most important topics to cover in a training session to communicate risk assessment methodologies, although they may be relevant and useful. Applying risk factors is a technique to quantify or qualify the likelihood and impact of risks based on predefined criteria or scales. Referencing risk event data is a source of information to identify and analyze risks based on historical or current incidents. Understanding risk culture is a factor that affects the risk behavior and attitude of the organization and its people. References = CRISC Review Manual, pages 40-411; CRISC Review Questions, Answers & Explanations Manual, page 612