Isaca CRISC Actual Questions

 The most concerning issue found during the review of a newly created disaster recovery plan (DRP) is that some critical business applications are not included in the plan. This means that the DRP is incomplete and does not cover all the essential IT systems and services that support the business continuity. This could result in significant losses and damages in the event of a disaster. The other issues are not as critical, as they can be addressed by ensuring proper contracts, standards, and approvals are in place for the outsourced activities, the framework, and the CISO. References = Risk and Information Systems Control Study Manual, Chapter 3: IT Risk Response, Section 3.3: IT Risk Response Implementation, page 145.

The greatest concern for the risk practitioner when a big data project has resulted in the creation of an application used to support important investment decisions is the data quality. Data quality is the degree to which the data is accurate, complete, consistent, reliable, relevant, and timely. Data quality is essential for the success of any big data project, as it affects the validity and reliability of the analysis and the outcomes. Poor data quality could lead to erroneous or misleading results, which could have negative consequences for the investment decisions and the organization’s performance and reputation. The other options are not as concerning as the data quality, although they may also pose some challenges or risks for the big data project. Maintenance costs, data redundancy, and system integration are all factors that could affect the efficiency and effectiveness of the big data project, but they do not directly affect the accuracy and reliability of the analysis and the outcomes. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.3.1, page 3-20.

The most important activity when conducting a post-implementation review as part of the system development life cycle (SDLC) is to verify that the project objectives are met. The project objectives are the specific and measurable outcomes that the project aims to achieve. By verifying that the project objectives are met, the post-implementation review can evaluate the success and value of the project, and identify the lessons learned and best practices for future projects. Identifying project cost overruns, leveraging an independent review team, and reviewing the project initiation risk matrix are other possible activities, but they are not as important as verifying that the project objectives are met. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 4; CRISC Review Manual, 6th Edition, page 153.

The first thing that should be done when addressing security concerns associated with a new Internet of Things (IoT) solution is to develop new IoT risk scenarios. IoT is a network of physical devices, such as sensors, cameras, appliances, etc., that are connected to the internet and can collect, process, and exchange data. IoT introduces new security concerns, such as privacy, confidentiality, integrity, availability, and accountability of the data and devices, as well as new threats and vulnerabilities, such as unauthorized access, manipulation, or disruption of the data and devices. Developing new IoT risk scenarios is the first thing that should be done, because it helps to identify, analyze, and evaluate the potential risks that could affect the IoT solution’s objectives or operations. Developing new IoT risk scenarios also helps to select the most appropriate and effective controls to minimize the risks, such as avoiding, reducing, transferring, or accepting the risks. The other options are not the first thing that should be done, although they may be part of or derived from the IoT risk scenarios. Implementing IoT device monitoring software, introducing controls to the new threat environment, and engaging external security reviews are all activities that can help to support or improve the security of the IoT solution, but they do not necessarily identify, analyze, or evaluate the risks that could affect the IoT solution. References = 1