Isaca Updated CRISC Exam Questions and Answers by harlow

Control effectiveness is the degree to which a control achieves its intended objective and mitigates the risk that it is designed to address. It is measured by comparing the actual performance and outcome of the control with the expected or desired performance and outcome.

The best method for assessing control effectiveness is continuous monitoring, which is the process of collecting, analyzing, and reporting on the performance and outcome of the controls on an ongoing basis. Continuous monitoring provides timely and accurate information on the status and results of the controls, and enables the identification and correction of any issues or gaps in the control environment.

Continuous monitoring can be performed using various techniques, such as automated tools, dashboards, indicators, metrics, logs, audits, reviews, etc. Continuous monitoring can also be integrated with the risk management process, and aligned with the organization’s objectives and risk appetite.

The other options are not the best methods for assessing control effectiveness, because they do not provide the same level of timeliness, accuracy, and completeness of information on the performance and outcome of the controls.

Ad hoc control reporting is the process of collecting, analyzing, and reporting on the performance and outcome of the controls on an irregular or occasional basis. Ad hoc control reporting may be triggered by specific events, requests, or incidents, and it may not cover all the relevant or critical controls. Ad hoc control reporting may not provide sufficient or consistentinformation on the control effectiveness, and it may not enable the timely and proactive identification and correction of any issues or gaps in the control environment.

Control self-assessment is the process of allowing the control owners or operators to evaluate and report on the performance and outcome of their own controls. Control self-assessment can provide useful insights and feedback from the control owners or operators, and it can enhance their awareness and accountability for the control effectiveness. However, control self-assessment may not be objective, reliable, or independent, and it may not cover all the relevant or critical controls. Control self-assessment may not provide sufficient or consistent information on the control effectiveness, and it may not enable the timely and proactive identification and correction of any issues or gaps in the control environment.

Predictive analytics is the process of using statistical techniques and models to analyze historical and current data, and to make predictions or forecasts about future events or outcomes. Predictive analytics can provide useful insights and trends on the potential performance and outcome of the controls, and it can support the decision making and planning for the control effectiveness. However, predictive analytics may not be accurate, valid, or reliable, and it may not reflect the actual or current performance and outcome of the controls. Predictive analytics may not provide sufficient or consistent information on the control effectiveness, and it may not enable the timely and proactive identification and correction of any issues or gaps in the control environment. References =

ISACA, CRISC Review Manual, 7th Edition, 2022, pp. 40-41, 47-48, 54-55, 58-59, 62-63

ISACA, CRISC Review Questions, Answers & Explanations Database, 2022, QID 150

CRISC Practice Quiz and Exam Prep

Robotic process automation (RPA) is the use of software robots or artificial intelligence (AI) agents to automate repetitive, rule-based tasks that are normally performed by humans. RPA can improve efficiency, accuracy, and scalability of business processes, but it can also introduce new risks or change the existing risk profile. Therefore, the risk practitioner’s best course of action is to reassess whether the mitigating controls that were designed for the human-performed processes are still effective and adequate for the RPA-enabled processes. This may involve reviewing the control objectives, testing the control performance, identifying the control gaps,and recommending the control enhancements or modifications. References = CRISC Review Manual, 7th Edition, page 177.

Risk appetite should be the primary driver for periodically reviewing and adjusting key risk indicators (KRIs), because it reflects the level of risk that the enterprise is willing to accept in pursuit of its objectives. KRIs should be aligned with the risk appetite and adjusted accordingly when the risk appetite changes due to internal or external factors. The other options are not the primary drivers, although they may also influence the review and adjustment of KRIs. Risk impact, risk likelihood, and control self-assessments (CSAs) are secondary drivers that depend on the risk appetite. References = Most Asked CRISC Exam Questions and Answers

 Contractually obligating the supplier to follow privacy laws is the best way to mitigate the risk of violating privacy laws when transferring personal information to a supplier, because it ensures that the supplier is legally bound to comply with the applicable laws and regulations that protect the privacy and security of the personal information. This also creates a clear accountability andliability for the supplier in case of a privacy breach, and defines the rights and obligations of both parties in relation to the personal information. The other options are not the best ways to mitigate the risk of violating privacy laws, although they may also be helpful in reducing the likelihood or impact of a privacy breach. Encrypting the data while in transit to the supplier, requiring independent audits of the supplier’s control environment, and utilizing blockchain during the data transfer are examples of technical or assurance controls that aim to protect the confidentiality, integrity, and availability of the personal information, but they do not address the legal or contractual aspects of the privacy laws. References = CRISC: Certified in Risk & Information Systems Control Sample Questions