Explanation
A privacy risk assessment is a process of identifying, analyzing and evaluating the privacy risks associated with the collection, use, disclosure or retention of personal data. A privacy risk assessment is the best way to distinguish between a privacy risk and compliance risk, as it would help to determine the likelihood and impact of privacy incidents or breaches that could affect the rights and interests of the data subjects, as well as the legal obligations and responsibilities of the organization. A privacy risk assessment would also help to identify and implement appropriate controls and measures to mitigate or reduce the privacy risks and ensure compliance with privacy principles, laws and regulations. The other options are not as effective as conducting a privacy risk assessment in distinguishing between a privacy risk and compliance risk. Performing a privacy risk audit is a process of verifying and validating the effectiveness and adequacy of the privacy controls and measures implemented by the organization, but it does not necessarily identify or evaluate the privacy risks or compliance risks. Validating a privacy risk attestation is a process of confirming and certifying the accuracy and completeness of the privacy information or statements provided by the organization, but it does not necessarily identify or evaluate the privacy risks or compliance risks. Conducting a privacy risk remediation exercise is a process of implementing corrective actions or improvements to address the identified or reported privacy risks or compliance risks, but it does not necessarily distinguish between them1, p. 66-67 References: 1: CDPSE Review Manual (Digital Version)

Explanation
The most effective way to incorporate privacy by design principles into applications is to include privacy requirements in software development practices, because this ensures that privacy is considered and integrated from the early stages of the design process and throughout the entire lifecycle of the application. Software development practices include activities such as defining the scope, objectives, and specifications of the application, identifying and analyzing the privacy risks and impacts, selecting and implementing the appropriate privacy-enhancing technologies and controls, testing and validating the privacy functionality and performance, and monitoring and reviewing the privacy compliance and effectiveness of the application. By including privacy requirements in software development practices, the organization can achieve a proactive, preventive, and embedded approach to privacy that aligns with the privacy by design principles.
References:
CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.1.2: Privacy Requirements, p. 75 CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.2.1: Privacy by Design Methodology, p. 79-80 The 7 Principles of Privacy by Design | Blog | OneTrust1

Explanation
The first step toward the effective management of personal data assets is to create a personal data inventory, which is a comprehensive list of the personal data that an organization collects, processes, stores, transfers, and disposes of. A personal data inventory helps an organization to understand the types, sources, locations, owners, purposes, and retention periods of the personal data it holds, as well as the risks and obligations associated with them. A personal data inventory is essential for complying with data privacy laws and regulations, such as the GDPR or the PDPA, which require organizations to implement data protection principles and practices, such as obtaining consent, providing notice, ensuring data quality and security, respecting data subject rights, and reporting data breaches. A personal data inventory also helps an organization to identify and mitigate data privacy risks and gaps, and to implement data minimization and data security controls.
References:
ISACA, Data Privacy Audit/Assurance Program, Control Objective 3: Data Inventory and Classification1 ISACA, Simplify and Contextualize Your Data Classification Efforts2 PDPC, Managing Personal Data3 PDPC, PDPA Assessment Tool for Organisations4

Explanation
Anonymization is a technique that removes or modifies personal data in such a way that it can no longer be attributed to a specific data subject. Anonymization can be achieved by various methods, such as encryption, pseudonymization, aggregation, generalization, etc. When using anonymization techniques to prevent unauthorized access to personal data, the most important consideration to ensure the data is adequately protected is that the key must be kept separate and distinct from the data it protects. The key is a piece of information that is used to reverse the anonymization process and restore the original personal data. The key must be stored and managed in a secure location that is different from where the anonymized data is stored and processed. This way, even if the anonymized data is compromised, the key cannot be accessed or used to re-identify the data subjects. References: : CDPSE Review Manual (Digital Version), page 29