CDPSE Exam Dumps - Certified Data Privacy Solutions Engineer

Degaussing is a hard drive sanitation method that uses a powerful magnetic field to erase or destroy the data stored on a magnetic disk or tape. Degaussing should be used to sanitize hard drives containing personal data prior to being crushed, as it provides an additional layer of assurance that data has been permanently erased and cannot be recovered by any means. Degaussing also damages the drive itself, making it unusable for future storage. The other options are not effective or necessary hard drive sanitation methods prior to being crushed. Low-level formatting is a hard drive sanitation method that erases the data and the partition table on the drive, but it may leave some traces of data that can be recovered by forensic tools or software. Remote partitioning is a hard drive sanitation method that creates separate logical sections on the drive, but it does not erase or destroy the data on the drive. Hammer strike is a hard drive sanitation method that physically damages the drive by hitting it with a hammer, but it may not erase or destroy the data completely or prevent data recovery by advanced tools or techniques1, p. 93-94 References: 1: CDPSE Review Manual (Digital Version)

Cryptographic erasure is a data sanitization method that uses encryption to render data unreadable and unrecoverable. It is the best method when there is a need to balance the destruction of data and the ability to recycle IT assets, because it does not damage the storage media and allows it to be reused or sold. It is also faster and more environmentally friendly than physical destruction methods.

The organization’s potential legal liabilities related to the data should be of greatest concern when an organization wants to store personal data in the cloud, as it may expose the organization to various compliance risks, such as data breach notification laws, data protection regulations, data sovereignty laws, and contractual obligations. The organization should ensure that the cloud storage provider complies with the applicable legal and regulatory requirements, and that the organization retains control and ownership of the data. The organization should also conduct due diligence and risk assessment of the cloud storage provider before entering into a contract. References: 2 Domain 2, Task 9; 4 

The primary means by which an organization communicates customer rights as it relates to the use of their personal information is publishing a privacy notice. A privacy notice is a document that informs the customers about how their personal information is collected, used, shared, stored, and protected by the organization, as well as what rights they have regarding their personal information, such as access, rectification, erasure, portability, objection, etc. A privacy notice should be clear, concise, transparent, and easily accessible to the customers, and should comply with the applicable privacy regulations and standards. A privacy notice helps to establish trust and transparency between the organization and the customers, and enables the customers to exercise their rights and choices over their personal information. References: : CDPSE Review Manual (Digital Version), page 39

Anonymization is a technique that removes or modifies all identifiers in a data set to prevent or limit the identification of the data subjects. Anonymization is an IT privacy practitioner’s best recommendation to reduce privacy risk before an organization provides personal data to a third party, as it would protect the privacy of the data subjects by reducing the linkability of the data set with their original identity, and also comply with the data minimization principle that requires limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes. Anonymization would also preserve some characteristics or patterns of the original data that can be used for analysis or research purposes by the third party, without compromising the accuracy or quality of the results. The other options are not as effective as anonymization in reducing privacy risk before an organization provides personal data to a third party. Tokenization is a technique that replaces sensitive or confidential data with non-sensitive tokens or placeholders that do not reveal the original data, but it does not prevent or limit the identification of the data subjects, as tokens can be reversed or linked back to the original data using a tokenization system or key. Aggregation is a technique that combines individual data into groups or categories that do not reveal the identity of the data subjects, but it may not prevent or limit the identification of the data subjects, as aggregated data can be de-aggregated or re-identified using other sources of information or techniques. Encryption is a technique that transforms plain text data into cipher text using an algorithm and a key, making it unreadable by unauthorized parties, but it does not prevent or limit the identification of the data subjects, as encrypted data can be decrypted or linked back to the original data using an encryption system or key1, p. 74-75 References: 1: CDPSE Review Manual (Digital Version)

The greatest privacy risk for client-side application processing is an employee loading personal information on a company laptop. Client-side application processing refers to performing data processing operations on the user’s device or browser, rather than on a server or cloud. This can improve performance and user experience, but also pose privacy risks if the user’s device is lost, stolen, hacked, or infected with malware. An employee loading personal information on a company laptop is exposing that information to potential threats on the client-side, such as unauthorized access, use, disclosure, modification, or loss. Therefore, an organization should implement appropriate security measures to protect personal information on client-side devices, such as encryption, authentication, authorization, logging, monitoring, etc. References: : CDPSE Review Manual (Digital Version), page 153

Ensuring appropriate data classification should be done next after a migration of personal data involving a data source with outdated documentation has been approved by senior management, as it helps to identify the types, locations, and owners of the data, and to apply the appropriate privacy controls and measures based on the data classification level. Data classification also facilitates the data discovery, data minimization, data retention, and data disposal processes15. References: 1 Domain 3, Task 2; 5 Page 9