Isaca Updated CRISC Exam Questions and Answers by mathias

The most useful tool for measuring the existing risk management process against a desired state is the capability maturity model, as it provides a structured and standardized way to assess the current and target levels of maturity, performance, and effectiveness of the risk management process, and to identify the gaps and improvement opportunities. The balanced scorecard, the risk management framework, and the risk scenario analysis are not the most useful tools, as they are more related to the evaluation, design, or identification of the risk management process, respectively, rather than the measurement of the risk management process. References = CRISC Review Manual, 7th Edition, page 154.

Personal data is any information that relates to an identified or identifiable individual, such as name, address, email, phone number, etc. Processing personal data involves collecting, storing, using, disclosing, or deleting it. Processing personal data poses various risks to the privacy and security of the data subjects,such as unauthorized access, disclosure, modification, or loss. Therefore, processing personal data requires appropriate technical and organizational measures to safeguard the data and to comply with the relevant laws and regulations. One of the most effective practices to safeguard the processing of personal data is to use tokenization. Tokenization is a technique that replaces sensitive data elements with non-sensitive equivalents, called tokens, that have no meaning or value outside of a specific system or context. Tokenization reduces the risk of exposing personal data to unauthorized parties, as the tokens cannot be reversed or linked back to the original data without the proper key or algorithm. Tokenization also helps to minimize the amount of personal data that is stored or transmitted, and to limit the scope of compliance requirements. References = Risk and Information Systems Control Study Manual, Chapter 4, Section 4.3.2.2, p. 196-197

Well-developed, data-driven risk measurements should be focused on providing a forward-looking view, as they enable the organization to anticipate and prepare for the potential changes and impacts of the risk level and exposure, and to take proactive and appropriate actions toaddress the risk. The other options are not the characteristics of well-developed, data-driven risk measurements, as they may not reflect the strategic, comprehensive, or timely aspects of the risk measurements, respectively. References = CRISC Review Manual, 7th Edition, page 110.

The best recommendation to reduce the risk associated with potential system compromise when a vendor stops releasing security patches and updates for a business-critical legacy system is to segment the system on its own network. Network segmentation is the process of dividing a network into smaller subnetworks or segments, based on different criteria, such as function, location, or security level. Network segmentation helps to isolate the system from the rest of the network, and limit the exposure and access to the system. Network segmentation also helps to improve the performance and security of the network, by reducing the network traffic and congestion, and enhancing the monitoring and control capabilities. The other options are not as effective as segmenting the system on its own network, although they may provide some additional protection or recovery options. Ensuring regular backups take place, virtualizing the system in the cloud, and installing antivirus software on the system are all measures that can helpto reduce the risk of data loss or system damage, but they do not address the root cause of the risk, which is the lack of security patches and updates for the system. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.2.1, page 3-11.