CRISC Exam Dumps - Certified in Risk and Information Systems Control

The recovery time objective (RTO) is a metric that defines the maximum acceptable time frame for restoring a system or service after a disruption. The RTO is determined by the business impact and requirements of the system or service, as well as the risk appetite and tolerance of the organization. The calculation of the RTO is necessary to determine the priority of restoration,which means the order and urgency of recovering the systems or services based on their criticality and dependency. The priority of restoration helps to optimize the use of resources and minimize the downtime and losses during a disaster recovery. The other options are not the correct answers, as they are not the main purpose of calculating the RTO. The time required to restore files is a factor that affects the RTO, but it is not the outcome of the RTO calculation. The point of synchronization is the point in time to which the data must be restored to ensure consistency and accuracy. The point of synchronization is related to the recovery point objective (RPO), not the RTO. The annual loss expectancy (ALE) is a measure of the expected loss peryear due to a specific risk or threat. The ALE is calculated by multiplying the single loss expectancy (SLE) by the annualized rate of occurrence (ARO). The ALE is not directly related to the RTO, although it may influence the RTO determination. References = Recovery Time Objective (RTO) - What Is It, Examples, Calculation; CRISC Review Manual, pages 197-1981; CRISC Review Questions, Answers & Explanations Manual, page 842

CRISC emphasizes that the effectiveness of policies depends on enforcement. Even well-written, standards-aligned policies have no value if they are not consistently followed. Lack of enforcement allows inconsistent behavior, increases control breakdowns, and undermines risk governance. Alignment with global standards is beneficial but not essential for effectiveness. A missing repository creates administrative inefficiencies but does not directly increase risk. Higher cost is a business consideration but not a risk governance concern. Insufficient enforcement is the most critical issue because it directly leads to risk exposure and control failure.

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.

In addition to the risk register, which is a tool to document and monitor the risks that affect the organization, a risk practitioner should review the business objectives of the organization to develop an understanding of its risk profile. The risk profile is a description of the set of risks that the organization faces in relation to its goals and strategies. By reviewing the business objectives, the risk practitioner can identify the sources, drivers, and consequences of the risks, as well as the alignment, prioritization, and tolerance of the risks. The business objectives also provide the context and criteria for evaluating and managing the risks. The other options are not the best choices to review for developing an understandingof the organization’s risk profile, as they do not capture the full scope and nature of the risks. The control catalog is a list of the existing controls that are implemented to mitigate the risks, but it does not reflect the effectiveness, efficiency, or sufficiency of the controls. The asset profile is a description of the resources and capabilities that the organization possesses or relies on, but it does not indicate the value, vulnerability, or interdependency of the assets. The key risk indicators (KRIs) are metrics that measure the level and trend of the risks, but they do not explain the causes, impacts, orresponses to the risks. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2, Section 2.1.2, Page 49.

Sensitivity and reliability are the most important criteria for selecting KRIs, as they indicate how well the KRIs reflect the changes in the risk level and how consistent and accurate the KRIs are in measuring the risk.Sensitivity means that the KRIs should respond quickly and proportionally to the variations in the risk exposure, and provide early warning signals of potential risk events. Reliability means that the KRIs should be based on valid and verifiable data sources, and produce consistent and comparable results over time and across different units or functions. Historical data availability, implementation and reporting effort, and ability to display trends are also useful criteria, but they are not as critical as sensitivity and reliability.

The best way to ensure key risk indicators (KRIs) provide value to risk owners is to provide timely notification of the changes in the risk exposure. KRIs are metrics that provide an early warning of increasing risk exposure in various areas of the organization. By providing timely notification of the KRI values, the risk owners can be alerted of the risk situation and take appropriate actions to manage the risk. Ongoing training, return on investment (ROI), and cost minimization are other possible ways to ensure KRIs provide value, but they are not as effective as timely notification. 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 product owner should own the associated risk when contracting with a cloud service provider to support the deployment of a new product. The product owner is the person who has the authority and responsibility for defining the product vision, requirements, and priorities. The product owner also has the accountability for the business value and outcomes of the product. Therefore, the product owner should be the one who identifies, assesses, and manages the risks related to the cloud service provider, such as security, compliance, performance, and quality. The product owner should also collaborate with the other stakeholders, such as the head of EA, the IT risk manager, and the information security manager, to ensure that the cloud service provider meets the organization’s standards and expectations. References = Risk and Information Systems Control Study Manual, Chapter 5: IT Risk Mitigation, Section 5.3: IT Risk Mitigation Strategies and Approaches, Page 254; Best Practices to Manage Risks in the Cloud - ISACA.

 The results of risk analyses should be presented in quantitative or qualitative terms based primarily on the requirements of management, because they are the intended audience and users of the risk information, and they have the authority and responsibility to make risk-based decisions. The requirements of management may vary depending on the purpose, scope, and context of the risk analysis, and the level of detail, accuracy, and reliability that they need. Quantitative risk analysis uses numerical data and mathematical models to estimate theprobability and impact of risks, and to express the risk exposure and value in monetary or other measurable units. Qualitative risk analysis uses descriptive data and subjective judgmentsto assess the likelihood and severity of risks, and to rank the risks according to their relative importance or priority. Both methods have their advantages and disadvantages, and they can be used separately or together, depending on the situation and the availability of data and resources. However, the primary factor that determines the choice of the method is the requirements of management, as they are the ones who will use the risk information to support their objectives, strategies, and actions. References = Risk IT Framework, ISACA, 2022, p. 141