Which of the following processes BEST enables an organization to maintain the quality of personal data?
Correct Answer: A
Explanation The best way to maintain the quality of personal data is to implement routine automatic validation, which is a process of checking the accuracy, completeness, consistency, and timeliness of the data using automated tools or scripts. Routine automatic validation can help identify and correct any errors, anomalies, or discrepancies in the data, as well as ensure that the data meets the specified quality standards and requirements. Routine automatic validation can also help improve the efficiency and reliability of the data processing and analysis12. References: * CDPSE Exam Content Outline, Domain 3 - Data Lifecycle (Data Quality), Task 2: Implement data quality measures3. * CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.2 - Data Quality4.
Question 82
A software development organization with remote personnel has implemented a third-party virtualized workspace to allow the teams to collaborate. Which of the following should be of GREATEST concern?
Correct Answer: B
The answer is B. Personal data could potentially be exfiltrated through the virtual workspace. A comprehensive explanation is: A virtualized workspace is a cloud-based service that provides remote access to a desktop environment, applications, and data. A virtualized workspace can enable software development teams to collaborate and work efficiently across different locations and devices. However, a virtualized workspace also poses significant privacy risks, especially when it is implemented by a third-party provider. One of the greatest privacy concerns of using a third-party virtualized workspace is the potential for personal data to be exfiltrated through the virtual workspace. Personal data is any information that relates to an identified or identifiable individual, such as name, email, address, phone number, etc. Personal data can be collected, stored, processed, or transmitted by the software development organization or its clients, partners, or users. Personal data can also be generated or inferred by the software development activities or products. Personal data can be exfiltrated through the virtual workspace by various means, such as: Data breaches: A data breach is an unauthorized or unlawful access to or disclosure of personal data. A data breach can occur due to weak security measures, misconfiguration errors, human errors, malicious attacks, or insider threats. A data breach can expose personal data to hackers, competitors, regulators, or other parties who may use it for harmful purposes. Data leakage: Data leakage is an unintentional or accidental transfer of personal data outside the intended boundaries of the organization or the virtual workspace. Data leakage can occur due to improper disposal of devices or media, insecure network connections, unencrypted data transfers, unauthorized file sharing, or careless user behavior. Data leakage can compromise personal data to third parties who may not have adequate privacy policies or practices. Data mining: Data mining is the analysis of large and complex data sets to discover patterns, trends, or insights. Data mining can be performed by the third-party provider of the virtual workspace or by other authorized or unauthorized parties who have access to the virtual workspace. Data mining can reveal personal data that was not explicitly provided or intended by the organization or the individuals. The exfiltration of personal data through the virtual workspace can have serious consequences for the software development organization and its stakeholders. It can result in: Legal liability: The organization may face legal actions or penalties for violating the privacy laws, regulations, standards, or contracts that apply to the personal data in each jurisdiction where it operates or serves. For example, the General Data Protection Regulation (GDPR) in the European Union imposes strict obligations and sanctions for protecting personal data across borders. Reputational damage: The organization may lose trust and credibility among its clients, partners, users, employees, investors, or regulators for failing to safeguard personal data. This can affect its brand image, customer loyalty, market share, revenue, or growth potential. Competitive disadvantage: The organization may lose its competitive edge or intellectual property if its personal data is stolen or misused by its rivals or adversaries. This can affect its innovation capability, product quality, or market differentiation. Therefore, it is essential for the software development organization to implement appropriate measures and controls to prevent or mitigate the exfiltration of personal data through the virtual workspace. Some of these measures and controls are: Data minimization: The organization should collect and process only the minimum amount and type of personal data that is necessary and relevant for its legitimate purposes. It should also delete or anonymize personal data when it is no longer needed or required. Data encryption: The organization should encrypt personal data at rest and in transit using strong and standardized algorithms and keys. It should also ensure that only authorized parties have access to the keys and that they are stored securely. Data segmentation: The organization should segregate personal data into different categories based on their sensitivity and risk level. It should also apply different levels of protection and access control to each category of personal data. Data governance: The organization should establish a clear and comprehensive policy and framework for managing personal data throughout its lifecycle. It should also assign roles and responsibilities for implementing and enforcing the policy and framework. Data audit: The organization should monitor and review the activities and events related to personal data on a regular basis. It should also conduct periodic assessments and tests to evaluate the effectiveness and compliance of its privacy measures and controls. Data awareness: The organization should educate and train its staff and users on the importance and best practices of protecting personal data. It should also communicate and inform its clients, partners, and regulators about its privacy policies and practices. The other options are not as great of a concern as option B. The third-party workspace being hosted in a highly regulated jurisdiction (A) may pose some challenges for complying with different privacy laws and regulations across borders. However it may also offer some benefits such as higher standards of privacy protection and enforcement. The organization's products being classified as intellectual property may increase the value and attractiveness of the personal data related to the products, but it does not necessarily increase the risk of exfiltration of the personal data through the virtual workspace. The lack of privacy awareness and training among remote personnel (D) may increase the likelihood of human errors or negligence that could lead to exfiltration of personal data through the virtual workspace. However it is not a direct cause or source of exfiltration, and it can be addressed by providing adequate education and training. Reference: 8 Risks of Virtualization: Virtualization Security Issues1 Security & Privacy Risks of the Hybrid Work Environment2 The Risk of Virtualization - Concerns and Controls3 What is Virtualized Security?4
Question 83
Which of the following is the BEST way to protect personal data in the custody of a third party?
Correct Answer: C
Explanation In GDPR parlance, organizations that use third-party service providers are often, but not always, considered data controllers, which are entities that determine the purposes and means of the processing of personal data, which can include directing third parties to process personal data on their behalf. The third parties that process data for data controllers are known as data processors. The best way to protect personal data in the custody of a third party is to include requirements to comply with the organization's privacy policies in the contract. This means that the organization should specify the terms and conditions of data processing, such as the purpose, scope, duration, and security measures, and ensure that they are consistent with the organization's privacy policies and applicable privacy regulations. The contract should also define the roles and responsibilities of both parties, such as data controller and data processor, and establish mechanisms for monitoring, reporting, auditing, and resolving any issues or incidents related to data privacy. References: : CDPSE Review Manual (Digital Version), page 41
Question 84
Which of the following is the BEST way to ensure privacy considerations are included when working with vendors?
Correct Answer: C
Including privacy requirements in vendor contracts is the best way to ensure privacy considerations are included when working with vendors because it establishes the obligations, expectations and responsibilities of both parties regarding the protection of personal dat a. It also provides a legal basis for enforcing compliance and resolving disputes. Including privacy requirements in the request for proposal (RFP) process, monitoring privacy-related service level agreements (SLAs) and requiring vendors to complete privacy awareness training are helpful measures, but they do not guarantee that vendors will adhere to the privacy requirements or that they will be held accountable for any violations. Reference: CDPSE Review Manual (Digital Version), Domain 1: Privacy Governance, Task 1.7: Participate in the management and evaluation of contracts, service levels and practices of vendors and other external parties1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2: Privacy Governance, Section: Vendor Management2
Question 85
A new marketing application needs to use data from the organization's customer database. Prior to the application using the data, which of the following should be done FIRST?
