The best way to ensure ongoing control effectiveness is to measure trends in control performance. This will help to monitor and evaluate how well the controls are achieving their objectives, and to identify any deviations or anomalies that may indicate control failures or weaknesses. Measuring trends in control performance also helps to provide feedback and assurance to the stakeholders and decision makers, and to support continuous improvement and optimization of the control environment. Establishing policies and procedures, periodically reviewing control design, and obtaining management control attestations are good practices, but they are not the best way to ensure control effectiveness. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 3, Section 3.1.1.2, page 1071
1: ISACA Certified in Risk and Information Systems Control (CRISC) Exam Guide, Answer to Question
650.

A good IT risk scenario must be aligned with a business objective. This alignment ensures that the risk scenario is relevant to the organization's goals and can be effectively integrated into its risk management processes.
Alignment to Business Objective (Answer C):
Importance: Aligning risk scenarios with business objectives ensures that they are relevant and support the organization's overall strategy.
Impact: This alignment helps in prioritizing risk management efforts and resources toward areas that directly affect the organization's success.
Outcome: It leads to more effective risk management by focusing on risks that could impact key business outcomes.
Comparison with Other Options:
A: The scenario is aligned to business control processes:
Purpose: Control processes are important but secondary to business objectives.
B: The scenario is aligned to the organization's risk appetite and tolerance:
Purpose: Important for overall risk management but not the primary characteristic of a good risk scenario.
D: The scenario is aligned to known vulnerabilities in information technology:
Purpose: While addressing vulnerabilities is important, the primary focus should be on how these vulnerabilities affect business objectives.
References:
ISACA CRISC Review Manual, Chapter 2, "IT Risk Assessment", which emphasizes the need for risk scenarios to be aligned with business objectives for effective risk management.

Customer behavior data is the information that reflects how customers interact with a brand, product, or service, such as their preferences, needs, motivations, and feedback1. Collecting customer behavior data through social media advertising can help an organization to understand its target market, improve its customer experience, and optimize its marketing strategies2.
However, collecting customer behavior data through social media advertising also poses significant business risks, especially for a global organization that operates in different countries. Among the four options given, the most important business risk to be considered is the regulatory requirements that may differ in each country. This means that the organization should:
Be aware of the different laws and regulations that govern the collection, processing, storage, and transfer of personal data in each country, such as the GDPR in the EU, the CCPA in California, or the PDPA in Singapore3 Ensure that the organization complies with the relevant data protection and privacy rules and standards in each country, such as obtaining consent, providing notice, ensuring security, and respecting rights4 Avoid or mitigate the potential legal, financial, reputational, or operational consequences of violating the data protection and privacy laws and regulations in each country, such as fines, lawsuits, sanctions, or loss of trust5 References = What is Customer Behavior Data?, How to Collect Customer Behavior Data for Marketing, Data Protection Laws Around the World, Data Protection and Privacy: The Age of Intelligent Machines, The Risks of Non-Compliance with Data Protection Laws

From a risk management perspective, the primary benefit of using automated system configuration validation tools is that they reduce the inherent risk, which is the risk that exists before any controls are applied.
Automated system configuration validation tools can help to ensure that the system settings are consistent, compliant, and secure, and that they match the predefined standards and policies. This can reduce the likelihood and impact of errors, misconfigurations, vulnerabilities, or deviations that may compromise the system's functionality, performance, or integrity. The other options are not the primary benefits of using automated system configuration validation tools, although they may be secondary benefits or outcomes of doing so. Residual risk is the risk that remains after the controls are applied, and it may not be directly affected by the automated system configuration validation tools. Staff costs and operational costs are related to the efficiency and economy of the system configuration process, but they are not the main risk management objectives. References = Risk and Information Systems Control Study Manual, Chapter 4: Risk Response, page 150.

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.