CDPSE Exam Dumps - Isaca Certification Questions and Answers

Online behavioral tracking is a tracking technology associated with unsolicited targeted advertisements that presents the greatest privacy risk. Online behavioral tracking is a technique that collects and analyzes personal data about users’ online activities, preferences, interests, and behaviors across different websites or platforms. Online behavioral tracking is used to create user profiles and deliver personalized or targeted advertisements that match users’ needs or wants. Online behavioral tracking poses a privacy risk because it can invade users’ privacy by collecting sensitive or intimate personal data without their knowledge or consent, such as health conditions, political views, sexual orientation, etc. Online behavioral tracking can also expose users to unwanted or inappropriate advertisements that may influence their decisions or actions. References: : CDPSE Review Manual (Digital Version), page 139

A virtual private network (VPN) is a technology that creates a secure and encrypted connection over a public network, such as the internet. A VPN should be established first before authorizing remote access to a data store containing personal data, as it protects the data from unauthorized interception, modification, or disclosure by third parties. A VPN also helps to ensure the identity and authenticity of the remote users and devices accessing the data store. References: 2 Domain 2, Task 8

Transport Layer Security (TLS) is a protocol that provides secure communication over the internet by encrypting and authenticating data. TLS provides data integrity through the calculation of message digests, which are cryptographic hashes that summarize the content and structure of a message. The sender and the receiver of a message can compare the message digests to verify that the message has not been altered or corrupted during transmission. TLS also uses digital certificates, asymmetric encryption, and symmetric encryption to provide confidentiality and authentication, but these are not directly related to data integrity.

Lawfulness and fairness is a data protection principle that states that personal data should be processed in a lawful, fair, and transparent manner in relation to the data subject. This means that personal data should be collected and used for legitimate purposes that are specified and communicated to the data subject, and that respect the rights and interests of the data subject. By posting its customer data protection notice that includes a statement indicating information is collected on how products are used, the content viewed, and the time and duration of online activities, an online business is applying the lawfulness and fairness principle. The online business is informing the customers about the purpose and scope of data collection, and obtaining their consent or legal basis for processing their personal data. References: : CDPSE Review Manual (Digital Version), page 2

A privacy notice is a document that informs data subjects about how their personal data is collected, processed, stored, shared, and protected by an organization. The primary purpose of a privacy notice is to provide transparency to the data subject on the intended use of their personal data, as well as their rights and choices regarding their data. A privacy notice also helps the organization comply with legal and regulatory requirements, such as obtaining consent, demonstrating accountability, and fulfilling the principle of fairness and lawfulness.

A consent management platform (CMP) directly supports control over personal data processing by tracking and enforcing individuals’ consent preferences across systems. SIEM (A) monitors security events, ERP (C) supports operations, and DLP (D) protects against data leakage but does not manage lawful basis for processing.

“Consent management tools ensure personal data is processed only in line with valid consent or lawful basis.”

 Transparency is the most important attribute of a privacy policy because it informs the users about how their personal data is collected, used, shared, and protected by the organization. Transparency also helps to build trust and confidence with the users, and to comply with legal and ethical obligations regarding data privacy.

A mobile application implementation should meet the organization’s data security standards by ensuring that the application does not contain any vulnerabilities, errors or malicious code that could compromise the confidentiality, integrity or availability of the data. An automatic dynamic code scan is a technique that analyzes the application code while it is running to detect and report any security issues or defects. An automatic dynamic code scan can help to identify and fix any potential data security risks before the application is deployed. The other options are not sufficient to ensure data security standards. UAT is a process of verifying that the application meets the user requirements and expectations, but it does not necessarily test for data security. Data classification is a process of categorizing data according to its sensitivity and value, but it does not ensure that the data is protected by the application. A PIA is a process of identifying and evaluating the privacy impacts of a system or project that involves personal data, but it does not ensure that the system or project meets data security standards. , p. 89-90 References: : CDPSE Review Manual (Digital Version)

When contracting with a SaaS provider, it is important to ensure that the provider will remove all customer data from their systems and storage devices at the end of the service contract. This will prevent any unauthorized access, use, or disclosure of the customer data by the provider or third parties after the service termination. Removal of customer data means that the data are permanently erased and cannot be recovered or restored by any means.