Latest [Apr 14, 2024] CDPSE Exam Questions – Valid CDPSE Dumps Pdf
CDPSE Practice Test Questions Answers Updated 220 Questions
The CDPSE certification is ideal for individuals who are responsible for managing and protecting sensitive data within their organizations, including privacy officers, data protection officers, security professionals, and IT managers. Earning the CDPSE certification demonstrates a commitment to privacy and data protection, and provides individuals with the knowledge and skills needed to effectively manage privacy risks and compliance requirements in today's rapidly changing regulatory environment.
NEW QUESTION # 12
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?
- A. Renew the encryption key to include the application.
- B. De-identify all personal data in the database.
- C. Ensure the data loss prevention (DLP) tool is logging activity.
- D. Determine what data is required by the application.
Answer: D
NEW QUESTION # 13
Which of the following is the MOST important consideration when determining retention periods for personal data?
- A. Storage capacity available for retained data
- B. Data classification standards
- C. Notice provided to customers during data collection
- D. Sectoral best practices for the industry
Answer: C
Explanation:
Explanation
The notice provided to customers during data collection is the most important consideration when determining retention periods for personal data, as it reflects the transparency and accountability principles of privacy and the expectations and preferences of the data subjects. The notice should inform the customers about the purposes and legal bases of the data processing, the rights and choices of the customers, and the safeguards and measures to protect the data, including how long the data will be kept and when it will be deleted or disposed of. The notice should also be consistent with the applicable laws and regulations that may prescribe or limit the retention periods for certain types of personal data. The other options are not as important as the notice provided to customers during data collection when determining retention periods for personal data.
Sectoral best practices for the industry may provide some guidance or benchmarks for retention periods, but they may not reflect the specific context or needs of the organization or the customers. Data classification standards may help to categorize data according to its sensitivity and value, but they may not indicate how long the data should be retained or deleted. Storage capacity available for retained data may affect the feasibility or cost of retaining data, but it should not determine or override the retention periods based on privacy principles, laws or customer expectations1, p. 99-100 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 14
Which of the following is the BEST way to protect the privacy of data stored on a laptop in case of loss or theft?
- A. Remote wipe
- B. Endpoint encryption
- C. Regular backups
- D. Strong authentication controls
Answer: B
Explanation:
Explanation
Endpoint encryption is a security practice that transforms the data stored on a laptop or other device into an unreadable format using a secret key or algorithm. Endpoint encryption protects the privacy of data in case of loss or theft, by ensuring that only authorized parties can access and use the data, while unauthorized parties cannot decipher or modify the data without the key or algorithm. Endpoint 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 protecting the privacy of data stored on a laptop in case of loss or theft. Strong authentication controls, such as passwords, biometrics or multifactor authentication, are important for verifying the identity and access rights of users, but they do not protect the data from being accessed by bypassing or breaking the authentication mechanisms. Remote wipe is a feature that allows users or administrators to erase the data on a lost or stolen device remotely, but it depends on the availability of network connection and device power, and it may not prevent data recovery by sophisticated tools. Regular backups are a process of creating copies of data for recovery purposes, such as in case of data loss or corruption, but they do not protect the data from being accessed by unauthorized parties who may obtain the backup media or files.
References:
* An Ethical Approach to Data Privacy Protection - 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."
* How to Protect and Secure Your Data in 10 Ways - TechRepublic, section 1: "Encrypt your hard drive Most work laptops use BitLocker to encrypt local files. That way, if the computer is stolen or hacked, the data it contains will be useless to the malicious actor."
* 10 Tips to Protect Your Files on PC and Cloud - microsoft.com, section 1: "Encrypt your hard drive Most work laptops use BitLocker to encrypt local files. That way, if the computer is stolen or hacked, the data it contains will be useless to the malicious actor."
* 11 practical ways to keep your IT systems safe and secure | ICO, section 1: "Use strong passwords and multi-factor authentication Make sure you use strong passwords on smartphones, laptops, tablets, email accounts and any other devices or accounts where personal information is stored."
NEW QUESTION # 15
Which of the following scenarios should trigger the completion of a privacy impact assessment (PIA)?
- A. Updates to data quality standards
- B. Updates to the enterprise data policy
- C. New data retention and backup policies
- D. New inter-organizational data flows
Answer: D
Explanation:
Explanation
A privacy impact assessment (PIA) is a process of analyzing the potential privacy risks and impacts of collecting, using, and disclosing personal data. A PIA should be conducted when there is a change in the data processing activities that may affect the privacy of individuals or the compliance with data protection laws and regulations. One of the scenarios that should trigger the completion of a PIA is when there are new inter-organizational data flows, which means that personal data is shared or transferred between different entities or jurisdictions. This may introduce new privacy risks, such as unauthorized access, misuse, or breach of data, as well as new legal obligations, such as obtaining consent, ensuring adequate safeguards, or notifying authorities.
References:
* PIA Triggers - International Association of Privacy Professionals
* Privacy Impact Assessment - International Association of Privacy Professionals
* GDPR Privacy Impact Assessment
* Data Protection Impact Assessment triggers: Clarity or confusion?
NEW QUESTION # 16
Which of the following BEST ensures an organization's data retention requirements will be met in the public cloud environment?
- A. Automated data deletion schedules
- B. Data classification schemes
- C. Service level agreements (SLAs)
- D. Cloud vendor agreements
Answer: D
Explanation:
Explanation
Cloud vendor agreements are the best way to ensure an organization's data retention requirements will be met in the public cloud environment because they define the roles, responsibilities and obligations of both parties regarding the collection, storage, processing and disposal of data in the cloud. They also specify the terms and conditions for data protection, security, privacy, compliance and auditability12. Data classification schemes, automated data deletion schedules and service level agreements (SLAs) are useful tools to manage and monitor data retention, but they do not guarantee that the cloud vendor will adhere to the organization's data retention requirements or that they will be enforceable in case of disputes.
References: 1: 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 parties 2: CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2:
Privacy Governance, Section: Vendor Management
NEW QUESTION # 17
Which of the following is MOST important to consider when managing changes to the provision of services by a third party that processes personal data?
- A. Modifications to data quality standards
- B. Business impact due to the changes
- C. Changes to current information architecture
- D. Updates to data life cycle policy
Answer: B
Explanation:
Explanation
The most important thing to consider when managing changes to the provision of services by a third party that processes personal data is the business impact due to the changes. Changes to the provision of services by a third party can affect the organization's ability to meet its business objectives and legal obligations related to data processing activities. For example, changes to the service level agreement (SLA), the scope of services, the security measures, the location of servers, etc., can have implications for the quality, availability, confidentiality, integrity, and compliance of personal data processing. Therefore, an IT privacy practitioner should assess and evaluate the business impact due to the changes, and ensure that they are aligned with the organization's privacy policies and applicable privacy regulations and standards. References: : CDPSE Review Manual (Digital Version), page 41
NEW QUESTION # 18
During which of the following system lifecycle stages is it BEST to conduct a privacy impact assessment (PIA) on a system that holds personal data?
- A. User acceptance testing (UAT)
- B. Functional testing
- C. Development
- D. Production
Answer: C
Explanation:
Explanation
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. 67 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 19
When a government's health division established the complete privacy regulation for only the health market, which privacy protection reference model is being used?
- A. Sectoral
- B. Co-regulatory
- C. Self-regulatory
- D. Comprehensive
Answer: A
Explanation:
Explanation
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. 63-64 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 20
When a government's health division established the complete privacy regulation for only the health market, which privacy protection reference model is being used?
- A. Co-regulatory
- B. Self-regulatory
- C. Comprehensive
- D. Sectoral
Answer: C
NEW QUESTION # 21
Which of the following processes BEST enables an organization to maintain the quality of personal data?
- A. Updating the data quality standard through periodic review
- B. Maintaining hashes to detect changes in data
- C. Implementing routine automatic validation
- D. Encrypting personal data at rest
Answer: C
Explanation:
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.
NEW QUESTION # 22
Which of the following is MOST important when developing an organizational data privacy program?
- A. Profiling current data use
- B. Obtaining approval from process owners
- C. Performing an inventory of all data
- D. Following an established privacy framework
Answer: D
Explanation:
Explanation
Following an established privacy framework is the most important step when developing an organizational data privacy program because it provides a structured and consistent approach to identify, assess, and manage privacy risks and compliance obligations. A privacy framework can also help to align the privacy program with the organization's strategic goals, values, and culture, as well as to communicate and demonstrate the privacy program's effectiveness to internal and external stakeholders. Some examples of established privacy frameworks are the NIST Privacy Framework, the ISO/IEC 27701:2019, and the AICPA Privacy Maturity Model.
References:
* NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management, NIST
* ISO/IEC 27701:2019 Security techniques - Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management - Requirements and guidelines, ISO
* Privacy Maturity Model, AICPA
NEW QUESTION # 23
Using hash values With stored personal data BEST enables an organization to
- A. tag the data with classification information
- B. protect against unauthorized access.
- C. detect changes to the data.
- D. ensure data indexing performance.
Answer: C
Explanation:
Explanation
Using hash values with stored personal data best enables an organization to detect changes to the data, because hash values are unique and fixed outputs that are generated from the data using a mathematical algorithm. If the data is altered in any way, even by a single bit, the hash value will change dramatically. Therefore, by comparing the current hash value of the data with the original or expected hash value, the organization can verify the integrity and authenticity of the data. If the hash values match, it means that the data has not been tampered with. If the hash values differ, it means that the data has been corrupted or modified.
References:
* Ensuring Data Integrity with Hash Codes, Microsoft Learn
* What is 'hashing,' and does it help avoid the obligations imposed by the new privacy regulations?, Data Privacy Dish
NEW QUESTION # 24
Which type of data is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people?
- A. Inferred data
- B. Provided data
- C. Derived data
- D. Observed data
Answer: A
Explanation:
Explanation
Inferred data is the type of data that is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people. Inferred data is not directly observed or collected from the data subjects, but rather derived from other sources of data, such as behavioral, transactional, or demographic data. Inferred data can be used to make assumptions or predictions about the data subjects' preferences, interests, behaviors, or characteristics12.
References:
* CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.1 - Data Classification3.
* CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3 - Data Lifecycle, Section 3.2 - Data Classification4.
NEW QUESTION # 25
Which party should data subject contact FIRST if they believe their personal information has been collected and used without consent?
- A. Data protection authorities
- B. Outside privacy counsel
- C. Privacy rights advocate
- D. The organization's chief privacy officer (CPO)
Answer: D
Explanation:
Explanation
The data subject should contact the organization's chief privacy officer (CPO) first if they believe their personal information has been collected and used without consent. The CPO is the senior executive who is responsible for establishing and maintaining the organization's privacy vision, strategy, and program. The CPO oversees the development and implementation of privacy policies, procedures, standards, and controls, and ensures that they align with the organization's business objectives and legal obligations. The CPO also leads the privacy governance structure, such as the privacy steering committee, and coordinates with other stakeholders, such as the data protection authorities, the privacy rights advocates, and the outside privacy counsel, to ensure that privacy is integrated into all aspects of the organization's operations. The CPO is the primary point of contact for data subjects who have any questions, complaints, or requests regarding their personal information, and who can address their concerns and resolve their issues in a timely and effective manner. References: : CDPSE Review Manual (Digital Version), page 21
NEW QUESTION # 26
The MOST effective way to incorporate privacy by design principles into applications is to include privacy requirements in.
- A. secure coding practices
- B. software testing guidelines.
- C. senior management approvals.
- D. software development practices.
Answer: D
Explanation:
Explanation
The most effective way to incorporate privacy by design principles into applications is to include privacy requirements in software development practices, because this ensures that privacy is considered and integrated from the early stages of the design process and throughout the entire lifecycle of the application. Software development practices include activities such as defining the scope, objectives, and specifications of the application, identifying and analyzing the privacy risks and impacts, selecting and implementing the appropriate privacy-enhancing technologies and controls, testing and validating the privacy functionality and performance, and monitoring and reviewing the privacy compliance and effectiveness of the application. By including privacy requirements in software development practices, the organization can achieve a proactive, preventive, and embedded approach to privacy that aligns with the privacy by design principles.
References:
* CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.1.2: Privacy Requirements, p. 75
* CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.2.1: Privacy by Design Methodology, p. 79-80
* The 7 Principles of Privacy by Design | Blog | OneTrust1
NEW QUESTION # 27
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