Isaca CRISC Dumps

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 concern when assigning multiple risk owners for an identified risk is that accountability may not be clearly defined. Accountability is the obligation of an individual or group to take responsibility for the risk and its associated actions and outcomes. If multiple risk owners are assigned for the same risk, there may be confusion, conflict, or overlap in their roles and responsibilities, and they may not be held accountable for the risk management performance. Risk ratings being inconsistently applied, different risk taxonomies being used, and mitigation efforts being duplicated are other possible concerns, but they are not as important as accountability not being clearly defined. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 12; CRISC Review Manual, 6th Edition, page 215.

The most helpful information to review when determining a system’s criticality is the associated business impact analysis (BIA). A BIA is a process of identifying and evaluating the potential effects of disruptions to the organization’s critical business functions and processes. A BIA can help to determine the system’s criticality by assessing its impact on the organization’s objectives, performance, and value. Process flow, service level agreement (SLA), and system architecture are other possible information sources, but they are not as helpful as the BIA. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 4; CRISC Review Manual, 6th Edition, page 153.