CRISC Exam Dumps - Certified in Risk and Information Systems Control

According to the CRISC Review Manual1, data selection is the process of choosing the appropriate data sources and variables for data analysis. Data selection is the most critical step in data analytics, as it determines the quality and validity of the results and insights derived from the analysis. Incorrect data selection is the greatest risk associated with the use of data analytics, as it can lead to inaccurate, incomplete, irrelevant, or biased outcomes that can adversely affectthe decision making and performance of the organization. Incorrect data selection can also cause legal, regulatory, ethical, or reputational issues for the organization, if the data used for analysis is not authorized, reliable, or compliant. References = CRISC Review Manual1, page 255.

According to the CRISC Review Manual, a control owner is the person who is accountable for ensuring that specific control activities are performed. The control owner is responsible for defining, implementing, monitoring, and improving the control. Therefore, the control ownershould authorize changing the control threshold value, as it is part of their role to ensure that the control is effective and efficient. The other options are not the correct answers, because they are not directly involved in the control activities. The risk owner is the person who is accountable for the risk and its associated mitigation actions. The IT security manager is the person who is responsible for overseeing the IT security function and ensuring that the IT security policy is enforced. The IT system owner is the person who is responsible for the operation andmaintenance of the IT system and its associated data. References = CRISC Review Manual, 7th Edition, Chapter 3, Section 3.1.2, page 108.

 The business application owner should have the authority to accept the associated risk, because they are responsible for the performance and outcomes of the critical application, and they understand the business requirements, expectations, and impact of the application. The business application owner can also evaluate the trade-offs between the potential benefits and costs of the application, and the potential risks and consequences of a disruption or failure of the application. The business application owner can also communicate and justify their risk acceptance decision to the senior management and other stakeholders, and ensure that the risk is monitored and reviewed regularly. The other options are less appropriate to have the authority to accept the associated risk. The business continuity director is responsible for overseeing the planning and execution of the business continuity strategy, which includes ensuring the availability andresilience of the critical business processes and applications. However, they are not the owner of the application, and they may not have the full knowledge or authority to accept the risk on behalf of the business. The disaster recovery manager is responsible for managing the recovery and restoration of the IT systems and applications in the event of a disaster or disruption. However, they are not the owner of the application, and they may not have the full knowledge or authority to accept the risk on behalf of the business. The data center manager is responsible for managing the operation and maintenance of the data center infrastructure, which includes providing the physical and environmental security, power, cooling, and network connectivity for the IT systems and applications. However, they are not the owner of the application, and they may not have the full knowledge or authority to accept the risk on behalf of the business. References = Risk IT Framework, ISACA, 2022, p. 181

 Using anonymized data in a non-production environment is the best approach for an organization in a heavily regulated industry to comprehensively test application functionality. Anonymized data is data that has been stripped of any personally identifiable information (PII) or other sensitive data, such as names, addresses, phone numbers, email addresses, etc. Anonymized data protects the privacy and security of the data, while still preserving the structure and format of the original data. Using anonymized data in a non-production environment allows the organization to test the application functionality without risking data breaches or violating regulations. Using production data, masked data, or test data in either production or non-production environments are not as optimal as using anonymized data, because they may introduce errors, inconsistencies, or vulnerabilities in the data or the application. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.3.1, page 3-21.

Thefirst line of defenseincludesbusiness and operational managerswho own and manage risks directly. They implement controls as part of their day-to-day duties, making them the first to respond to risk.