Isaca Updated CRISC Exam Questions and Answers by rocky

The best time to conduct a risk analysis in a software development project is at each stage of the development life cycle. This is because risks can emerge or change at any point of the project, and they need to be identified, assessed, and managed as soon as possible. By conducting a risk analysis at each stage, the project team can ensure that the risks are aligned with the project objectives, scope, and deliverables, and that the appropriate risk responses are implemented and monitored. Conducting a risk analysis at each stage can also help to avoid or reduce the impact of potential issues, such as schedule delays, cost overruns, quality defects, and customer dissatisfaction. The other options are not the best time to conduct a risk analysis, although they may be useful or necessary depending on the project context and nature. Conducting a risk analysis during the business requirement definitions phase is important, but it is not sufficient, as the risks may change or evolve as the project progresses. Conducting a risk analysis before periodic steering committee meetings is a good practice, but it is not the only time to do so, as the risks may arise or escalate between the meetings. Conducting a risk analysis during the business case development is a part of the project initiation process, but it is not the most effective time, as the risks may not be fully known or understood at that stage. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2: Risk Identification, Section 2.1: Risk Identification Process, p. 79-80.

SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) is used in the riskidentification phase to comprehensively analyze the organization's internal and externalenvironments. By understanding strengths and weaknesses, internal risks can be identified, while opportunities and threats help to identify external risks. This method provides a foundation for proactive risk management.

 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.

Using aconsistent risk taxonomyensures that IT risks can be aggregated and compared with enterprise-level risks in a meaningful way. ISACA emphasizes that standardized risk language and categories are critical to integrating IT risk with ERM processes.

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