Free Isaca Certified Data Privacy Solutions Engineer CDPSE Exam Questions

Data privacy standards are the set of rules, guidelines, and best practices that define the requirements and expectations for the collection, processing, storage, sharing, and disposal of personal dat

a. Data privacy standards help to ensure that personal data is treated in a fair, lawful, transparent, and secure manner, as well as to comply with the applicable privacy laws and regulations. Data privacy standards also help to define the data retention time in a stream-fed data lake that includes personal data, as they specify the criteria and conditions for how long personal data can be kept in the data lake, based on factors such as the purpose, necessity, relevance, and quality of the data. Data retention time is an important aspect of data privacy, as it affects the risk of data breaches, unauthorized access, or misuse of personal data.

Sectoral is a privacy protection reference model that refers to a system of laws and regulations that apply to specific sectors or industries within a jurisdiction, such as health, finance, education or telecommunications. Sectoral privacy protection is typically characterized by having different rules and standards for different types of personal data or data processing activities, depending on the sensitivity and value of the data or the impact and risk of the processing. When a government's health division established the complete privacy regulation for only the health market, it is using a sectoral privacy protection reference model, as it is addressing the specific needs and challenges of the health sector in terms of privacy protection. The other options are not applicable in this scenario. Co-regulatory is a privacy protection reference model that refers to a system of laws and regulations that are supplemented by self-regulation mechanisms, such as codes of conduct, standards or certification schemes, developed by industry associations or professional bodies with oversight from government agencies or regulators. Comprehensive is a privacy protection reference model that refers to a system of laws and regulations that apply to all sectors and industries within a jurisdiction, regardless of the type or nature of personal data or data processing activities.Self-regulatory is a privacy protection reference model that refers to a system of laws and regulations that rely on voluntary compliance by organizations with their own policies and procedures, without any external oversight or enforcement from government agencies or regulators1, p.63-64Reference:1: CDPSE Review Manual (Digital Version)

The first step when performing a data quality assessment is to assess the completeness of the data inventory, which is a comprehensive list of all data assets within the organization. This will help identify the scope, sources, owners, and characteristics of the data to be assessed. The other options are possible actions that may be taken after the data inventory is complete, depending on the objectives and criteria of the assessment.

CDPSE Exam Content Outline, Domain 3 -- Data Lifecycle (Data Quality), Task 1: Perform a data quality assessment1.

CDPSE Review Manual, Chapter 3 -- Data Lifecycle, Section 3.2 -- Data Quality2.

Mutual certificate authentication is a method of verifying the identities of individuals in two-way communication by using digital certificates that are issued and signed by a trusted third party, such as a certificate authority (CA). Mutual certificate authentication ensures that both parties in the communication are who they claim to be, and that they can trust each other's identity and credentials. Mutual certificate authentication also provides confidentiality, integrity and non-repudiation of the data exchanged between the parties, as it uses encryption, hashing and digital signatures. The other options are not as effective as mutual certificate authentication in verifying the identities of individuals in two-way communication. Virtual private network (VPN) is a technology that creates a secure and encrypted connection between two parties over a public network, such as the internet, but it does not verify the identities of the parties, only their locations. Transport Layer Security (TLS) is a cryptographic protocol that provides end-to-end communication security between two parties over a network, such as the internet, but it does not verify the identities of the parties, only their servers.Secure Shell (SSH) is a network protocol that provides secure and encrypted remote access to a system or server, but it does not verify the identities of the parties, only their usernames and passwords1, p.90-91Reference:1: CDPSE Review Manual (Digital Version)

The best way for an IT privacy practitioner to ensure appropriate protection for personal data collected that is required to provide necessary services is to understand the data flows within the organization. Data flows are the paths or processes through which personal data moves within or outside the organization, from the point of collection to the point of disposal. Understanding the data flows helps to identify and analyze the privacy risks and impacts of data processing activities, such as data collection, storage, processing, sharing, and disposal. Understanding the data flows also helps to determine and apply the appropriate measures to protect personal data, such as data minimization, consent, access, rectification, erasure, portability, security, breach notification, etc. Understanding the data flows also helps to comply with the applicable privacy regulations and standards that govern data processing activities.Reference:: CDPSE Review Manual (Digital Version), page 97

The best approach for a local office of a global organization faced with multiple privacy-related compliance requirements is to focus on the requirements with the highest organizational impact, because this will help prioritize the most critical and urgent privacy issues and risks that may affect the organization's reputation, operations, or legal obligations.Focusing on the highest impact requirements will also help allocate the resources and efforts more efficiently and effectively, as well as align the local office's privacy practices with the global organization's objectives and strategies12.

CDPSE Exam Content Outline, Domain 1 -- Privacy Governance (Governance, Management & Risk Management), Task 3: Participate in the evaluation of privacy policies, programs and policies for their alignment with legal requirements, regulatory requirements and/or industry best practices3.

CDPSE Review Manual, Chapter 1 -- Privacy Governance, Section 1.2 -- Privacy Policy4.

When evaluating cloud-based services for backup, one of the most important factors to consider from a privacy regulation standpoint is data residing in another country. This is because different countries may have different privacy laws and regulations that apply to the personal data stored or processed in their jurisdictions. Some countries may have more stringent or protective privacy laws than others, while some countries may have more intrusive or invasive practices that pose threats to data privacy. Therefore, an organization should be aware of the location of its cloud-based backup service provider and its servers, and ensure that there are adequate safeguards and agreements in place to protect the personal data from unauthorized or unlawful access, use, disclosure, or transfer.Reference:: CDPSE Review Manual (Digital Version), page 159

Continuous monitoring dashboards provide ongoing, real-time visibility into privacy posture, allowing senior management to track performance trends and risk levels over time. PIAs (B) are project-specific and point-in-time; metadata inventories (A) document assets but are not monitoring tools; vulnerability results (C) are technical and periodic, not enterprise-level posture tracking.

''Dashboards provide ongoing, measurable insights into privacy compliance and posture for executive oversight.''

The first thing to do when a data collection process is deemed to be a high-level risk is to conduct a privacy impact assessment (PIA). A PIA is a systematic process that identifies and evaluates the potential effects of personal data processing operations on the privacy of individuals and the organization. A PIA helps to identify privacy risks and mitigation strategies at an early stage of the data collection process and ensures compliance with legal and regulatory requirements. A PIA also helps to demonstrate accountability and transparency to stakeholders and data subjects regarding how their personal data are collected, used, shared, stored, or deleted.

Performing a business impact analysis (BIA), implementing remediation actions to mitigate privacy risk, or creating a system of records notice (SORN) are also important steps for managing privacy risk, but they are not the first thing to do. Performing a BIA is a process of analyzing the potential impacts of disruptive events on the organization's critical functions, processes, resources, or objectives. A BIA helps to determine the recovery priorities, strategies, and objectives for the organization in case of a disaster or crisis. Implementing remediation actions is a process of applying corrective or preventive measures to reduce or eliminate the privacy risks identified by the PIA or other methods. Remediation actions may include technical, organizational, or legal solutions, such as encryption, access control, consent management, or contractual clauses. Creating a SORN is a process of publishing a public notice that describes the existence and purpose of a system of records that contains personal data under the control of a federal agency. A SORN helps to inform the public about how their personal data are collected and maintained by the agency and what rights they have regarding their data.

A PIA is a systematic process to identify and evaluate the potential privacy impacts of a system, project, program or initiative that involves the collection, use, disclosure or retention of personal data. A PIA should be conducted as early as possible in the system lifecycle, preferably during the development stage, to ensure that privacy risks are identified and mitigated before the system is deployed.Conducting a PIA during functional testing, UAT or production stages may be too late to address privacy issues effectively and may result in costly rework or delays1, p.67Reference:1: CDPSE Review Manual (Digital Version)

Before using data from the organization's customer database for a new marketing application, the first step should be to determine what data is required by the application and for what purpose. This will help to ensure that the data collection and processing are relevant, necessary, and proportionate to the intended use, and that the data minimization principle is followed.Data minimization means that only the minimum amount of personal data needed to achieve a specific purpose should be collected and processed, and that any excess or irrelevant data should be deleted or anonymized1.This will also help to comply with the data privacy laws and regulations that apply to the organization, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), which require organizations to inform data subjects about the types and purposes of data processing, and to obtain their consent if needed23.

ISACA, Data Privacy Audit/Assurance Program, Control Objective 2: Data Minimization, p.61

ISACA, GDPR Data Protection Impact Assessments, p.4-52

ISACA, CCPA vs. GDPR: Similarities and Differences, p.1-23

The principle of data minimization states that personal data should be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed. By using only the data required by the application, the organization can reduce the amount of data that is collected, stored, processed and potentially exposed. This can also help the organization comply with privacy laws and regulations that require data minimization, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

CDPSE Review Manual, 2021 Edition, ISACA, page 98

[Data minimization], European Commission

After a privacy risk has been accepted, the next step is to monitor the risk landscape for material changes. This means that the organization should keep track of any internal or external factors that may affect the likelihood or impact of the risk, such as new threats, vulnerabilities, regulations, technologies, or business processes. Monitoring the risk landscape can help the organization identify if the risk acceptance decision is still valid, or if it needs to be revisited or revised. Monitoring can also help the organization prepare for potential incidents or consequences that may arise from the accepted risk.

A primary objective of performing a privacy impact assessment (PIA) prior to onboarding a new Software as a Service (SaaS) provider for a customer relationship management (CRM) system is to identify controls to mitigate data privacy risks, such as data breaches, unauthorized access, misuse or loss of data. A PIA would help to evaluate the potential privacy impacts of using a new SaaS provider for CRM data processing activities, such as collecting, storing, analyzing or transferring customer data, and to implement appropriate controls to mitigate those impacts, such as encryption, access control, backup, audit trail or contractual clauses. A PIA would also help to ensure compliance with privacy principles, laws and regulations, and alignment with customer expectations and preferences. The other options are not primary objectives of performing a PIA prior to onboarding a new SaaS provider for CRM data processing activities. Classifying personal data according to the data classification scheme is an activity that may be part of a PIA process, but it is not an objective in itself. Assessing the risk associated with personal data usage is an activity that may be part of a PIA process, but it is not an objective in itself.Determining the service provider's ability to maintain data protection controls is an activity that may be part of a PIA process, but it is not an objective in itself1, p.67Reference:1: CDPSE Review Manual (Digital Version)

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.Reference:: CDPSE Review Manual (Digital Version), page 2