CRISC Exam Dumps - Certified in Risk and Information Systems Control

The most effective way to mitigate the risk of unintentional data disclosure through the use of social media sites is to conduct user awareness training. User awareness training is a process of educating and informing the users about the security policies, procedures, and practices that are relevant and applicable to their roles and responsibilities. User awareness training can help to increase the knowledge, understanding, and compliance of the users regarding the data protection and privacy requirements, and the potential risks and consequences of data disclosure through social media sites. User awareness training can also help to influence the behavior, attitude, and culture of the users toward data security and privacy. The other options are not as effective as conducting user awareness training, as they are related to the technical, procedural, or contractual measures to mitigate the risk, not the human or behavioral measures to mitigate the risk. References = Risk and Information Systems Control Study Manual, Chapter 3: IT Risk Response, Section 3.3: IT Risk Response Implementation, page 145.

The situation that presents the greatest challenge to creating a comprehensive IT risk profile of an organization is having inaccurate documentation of enterprise architecture (EA). EA is the blueprint that describes the structure and operation of an organization, including its business processes, information systems, technology infrastructure, and governance. EA helps to align the IT strategy and objectives with the business strategy and objectives, and to identify and manage the IT risks and opportunities. Having inaccurate documentation of EA could lead to incomplete, inconsistent, or misleading information about the organization’s IT environment, which could affect the quality and reliability of the IT risk profile. The other situations are not as challenging as having inaccurate documentation of EA, although they may also pose some difficulties or limitations for the IT risk profile. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.2.1, page 2-12.

When developing a response plan to address security incidents regarding sensitive data loss, it is most important to review the data classification policy. A data classification policy is a document that defines the categories and levels of data based on their sensitivity, value, and criticality, and specifies the appropriate security measures and handling procedures for each data type. A data classification policy helps to identify and protect the sensitive data that could be exposed or compromised in a security incident, and to comply with the relevant laws, regulations, standards, and contracts. Reviewing the data classification policy is important when developing a response plan, because it helps to determine the scope, impact, and priority of the security incident, and to select the most appropriate and effective response actions and strategies. Reviewing the data classification policy also helps to communicate and coordinate the response plan with the internal and external stakeholders, such as the data owners, users, custodians, and regulators, and to report and disclose the security incident as required. The other options are not as important as reviewing the data classification policy, although they may be part of or derived from the response plan. Revalidating current key risk indicators (KRIs), revising risk management procedures, and revalidating existing risk scenarios are all activities that can help to improve or update the risk management process, but they are not the most important when developing a response plan. References = Risk and Information Systems Control Study Manual, Chapter 5, Section 5.3.1, page 5-25.

Business impact analysis (BIA) is a process that involves analyzing the potential consequences of an IT risk event on the organization’s critical business functions and processes. BIA can help to understand the severity and duration of the disruption, the financial and operational losses, the recovery time objectives, and the recovery point objectives. BIA can also help to prioritize the recovery activities and resources, as well as to determine the acceptable level of risk and the risk mitigation strategies. BIA is the most helpful tool to understand the consequences of an IT risk event, as it provides a comprehensive and quantitative assessment of the impact and the recovery requirements. References = Risk and Information Systems Control Study Manual, Chapter 4, Section 4.4.2, p. 206-207

 The most concerning issue for a risk practitioner reviewing an organization risk register is that several risk action plans have missed target completion dates. This indicates that the risk responses are not being implemented effectively or timely, and that the risk exposure may not be reduced as expected. Senior management accepting more risk than usual, risk associated with many assets being expressed in qualitative terms, and many risk scenarios being owned by the same senior manager are not as concerning as the missed deadlines, as they may reflect the risk appetite, tolerance, and culture of the organization. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 10; CRISC Review Manual, 6th Edition, page 140.

The best course of action to determine the root cause of the high number of policy exceptions approved by senior management is to interview the control owner. The control owner is the person who has the authority and responsibility for designing, implementing, and monitoring the controls that enforce the policy. The control owner can provide insight into the reasons, circumstances, and impacts of the policy exceptions, and the effectiveness and efficiency of the controls. The control owner can also suggest possible improvements or alternatives to the policy or the controls. The other options are not as useful as interviewing the control owner, as they are related to the review, analysis, or testing of the policy or the controls, not the investigation or understanding of the policy exceptions. References = Risk and Information Systems Control Study Manual, Chapter 4: Risk and Control Monitoring and Reporting, Section 4.4: Key Control Indicators, page 211.

The best course of action for a risk practitioner when senior management is deciding whether to share confidential data with the organization’s business partners is to submit a report to senior management containing the possible risk and suggested mitigation plans. A risk practitioner is a professional who is responsible for identifying, assessing, and managing the risks that could affect the organization’s objectives or operations. A risk practitioner should provide senior management with the information and guidance they need to make informed and effective decisions regarding the sharing of confidential data. A risk practitioner should submit a report that outlines the possible risk scenarios, such as data loss, theft, or compromise, and their likelihood and impact. A risk practitioner should also suggest mitigation plans, such as encryption, access control, monitoring, or contractual agreements, that could reduce or transfer the risk. The other options are not as effective as submitting a report containing the possible risk and suggested mitigation plans, although they may be part of or derived from the report. Designing controls to encrypt the data to be shared, developing a project plan for classification of the data, and summarizing the data protection and privacy legislation are all activities or outcomes that could be included or referenced in thereport, but they are not the best course of action for a risk practitioner. References = CISA Review Manual, 27th Edition, Chapter 2, Section 2.3.1, page 2-23

 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.