Isaca Updated CDPSE Exam Questions and Answers by hafsah

Reference: [Reference: https://www.isaca.org/resources/isaca-journal/past-issues/2010/an-introduction-to-digital-records-management, A data management plan is a document that describes how data will be collected, stored, processed, shared, and disposed of throughout the data lifecycle. A data management plan should include information such as the purpose and scope of data processing, the data sources and types, the data quality and integrity standards, the data security and privacy measures, the data retention and destruction periods, the data ownership and governance structure, etc. A data management plan should also align with the organization’s privacy policies and applicable privacy regulations and standards. Therefore, a data management plan is where the data record retention period should be defined and established. References: : CDPSE Review Manual (Digital Version), page 169]

Reference: [Reference: https://www.isaca.org/resources/isaca-journal/past-issues/2014/data-owners-responsibilities-when-migrating-to-the-cloud, Cross-border data transfer regulations are laws and rules that govern the movement of personal data across national or regional boundaries. They aim to protect the privacy rights and interests of the data subjects, and to ensure that their personal data are not subject to lower or incompatible standards of protection in other jurisdictions. Examples of cross-border data transfer regulations include the General Data Protection Regulation (GDPR) in the European Union, the California Consumer Privacy Act (CCPA) in the United States, and the Personal Information Protection Law (PIPL) in China., When an organization uses a cloud service provider to store and process data, it may face the risk of transferring personal data to a region with different data protection requirements, such as a region that has not been recognized as providing adequate or equivalent levels of protection by the original jurisdiction, or a region that has conflicting or incompatible laws or regulations with the original jurisdiction. This may result in the following consequences for the organization:, It may violate the cross-border data transfer regulations of the original jurisdiction, and face legal sanctions, fines, or lawsuits from the regulators, customers, or data subjects., It may lose control or visibility over the personal data, and expose them to unauthorized or unlawful access, use, modification, or disclosure by the cloud service provider or third parties., It may compromise the trust and confidence of the customers and data subjects, and damage its reputation and competitiveness., Therefore, an organization subject to cross-border data transfer regulations should carefully assess and manage the risks of using a cloud service provider to store and process data, and ensure that it has appropriate safeguards and mechanisms in place to protect the privacy of personal data across borders., References:, Cross-Border Data Transfer and Data Localization Requirements … - ISACA, section 1: “As a result, China’s National People’s Congress (NPC) and the National Committee of the Chinese People’s Political Consultative Conference (PCC) put forward suggestions on legislation addressing cross-border data transfer.”, Regulatory Approaches to Cross-Border Data Transfers, section 1: “Cross-border transfers of personal information are increasingly common in today’s globalised economy. However, different jurisdictions have different approaches to regulating such transfers.”, Cross-Border Data Transfer Requirements: Global Privacy Laws - Securiti, section 1: “Data transfer conditions, mechanisms, localization and regulatory authority of each law.”, The Regulation of Cross-Border Data Transfers in the Context … - Springer, section 1: “No Party shall prohibit or restrict the cross-border transfer of information, including personal information, by electronic means if this activity is for the conduct of the business of a covered person.”, ]

Reference: [Reference: https://cpl.thalesgroup.com/faq, Encryption is a security practice that transforms data into an unreadable format using a secret key or algorithm. Encryption protects the confidentiality and integrity of data, especially when they are stored in a data lake or other cloud-based storage systems. Encryption ensures that only authorized parties can access and use the original data, while unauthorized parties cannot decipher or modify the data without the key or algorithm. Encryption also helps to comply with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), which require data controllers and processors to implement appropriate technical and organizational measures to safeguard personal data., The other options are less effective or irrelevant for securing the original data before storing them in a data lake. Encoding is a process of converting data from one format to another, such as base64 or hexadecimal. Encoding does not protect the data from unauthorized access or use, as it can be easily reversed without a key or algorithm. Backup is a process of creating a copy of data for recovery purposes, such as in case of data loss or corruption. Backup does not protect the data from unauthorized access or use, as it may create additional copies of sensitive data that need to be secured. Classification is a process of assigning labels or categories to data based on their sensitivity, value or risk level, such as public, confidential or restricted. Classification helps to identify and manage the data according to their security requirements, but it does not protect the data from unauthorized access or use by itself., References:, Tokenization: Your Secret Weapon for Data Security? - ISACA, section 2: “Encryption is one of the most effective security controls available to enterprises, but it can be challenging to deploy and maintain across a complex enterprise landscape.”, Credit Card Tokenization: What It Is, How It Works - NerdWallet, section 2: “Encrypting personal data automatically before sending them through email, using encryption standards and algorithms that are compliant with data protection laws and regulations.”, Tokenized Credit Card Data: Everything You Need to Know - Koombea, section 3: “The sensitive card data itself is stored on a server with much higher security.”, What is Data Tokenization and Why is it Important? | Immuta, section 2: “Tokenization replaces the original sensitive data with randomly generated, nonsensitive substitute characters as placeholder data.”, ]