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ISACA CDPSE (Certified Data Privacy Solutions Engineer) exam is a certification program that focuses on data privacy and protection. CDPSE exam is designed to test the knowledge and skills of IT professionals who are responsible for designing, implementing, and managing data privacy solutions. The CDPSE certification is recognized globally and is highly valued by organizations that handle sensitive data.
Isaca CDPSE Certification Exam - A quick overview
CDPSE Exam is a sought-after certification exam in the IT industry. It is also known as Certified Data Privacy Solutions Engineer. This certification exam is authorized by the International Society for Information Risk and Compliance (ISARC) and is offered by Isaca Training Institute. The exam is a certification exam that aims to validate the technical skills and knowledge it takes to assess, build and implement comprehensive privacy solutions. Implement cisco enterprise network solutions. The answers to these questions help to validate the candidate's skills and understanding of Privacy Solutions. CDPSE Dumps can help you pass this exam on your first attempt.
Candidates who pass the CDPSE Exam can fill the gap with technical privacy skills so that the organization has competent privacy technologists to build and implement solutions that enhance efficiency and mitigate risk. Candidates who have passed the CDPSE Exam can be considered for employment opportunities in ISACA as a Professional in Risk Assurance and Information Security. The exam will certify the understanding and skills of a professional in information privacy. Understanding in hop redundancy protocols, logical security, and physical security. The majority of students are glad to decide to pursue this certification as it will help them to get a better job.
The CDPSE certification program is a valuable asset for professionals who are seeking to advance their careers in the field of data privacy. This globally recognized certification helps professionals differentiate themselves in a competitive job market and provides them with the skills and knowledge needed to excel in their roles as data privacy solutions engineers. The CDPSE certification program also helps organizations identify and hire qualified professionals who can effectively manage their data privacy risks and compliance requirements.
NEW QUESTION # 87
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?
- A. There is a lack of privacy awareness and training among remote personnel.
- B. The third-party workspace is hosted in a highly regulated jurisdiction.
- C. The organization's products are classified as intellectual property.
- D. Personal data could potentially be exfiltrated through the virtual workspace.
Answer: D
Explanation:
Explanation
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.
References:
* 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
NEW QUESTION # 88
Which of the following is MOST likely to present a valid use case for keeping a customer's personal data after contract termination?
- A. Ease of onboarding when the customer returns
- B. A required retention period due to regulations
- C. A forthcoming campaign to win back customers
- D. For the purpose of medical research
Answer: B
Explanation:
Explanation
Data retention is a process of keeping personal data for a specified period of time for legitimate purposes, such as legal obligations, contractual agreements, business operations or historical records. Data retention should be based on the principle of data minimization, which requires limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes. Data retention should also comply with the principle of storage limitation, which requires deleting or disposing of personal data when it is no longer needed or justified. The most likely valid use case for keeping a customer's personal data after contract termination is a required retention period due to regulations, such as tax laws, financial laws, health laws or consumer protection laws, that mandate the organization to retain certain types of customer data for a certain period of time after the end of the contractual relationship. The other options are not valid use cases for keeping a customer's personal data after contract termination, as they do not meet the criteria of necessity, relevance or justification. For the purpose of medical research, the organization would need to obtain the consent of the customer or have another legal basis for processing their personal data for a different purpose than the original contract. A forthcoming campaign to win back customers or ease of onboarding when the customer returns are not legitimate purposes for retaining customer data after contract termination, as they are not related to the original contract and may violate the customer's privacy rights and preferences. , p.
99-100 References: : CDPSE Review Manual (Digital Version)
NEW QUESTION # 89
An organization's data destruction guidelines should require hard drives containing personal data to go through which of the following processes prior to being crushed?
- A. Degaussing
- B. Low-level formatting
- C. Hammer strike
- D. Remote partitioning
Answer: A
Explanation:
Explanation
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)
NEW QUESTION # 90
An organization is developing a wellness smartwatch application and is considering what information should be collected from the application users. Which of the following is the MOST legitimate information to collect for business reasons in this situation?
- A. Sleep schedule and calorie intake
- B. Race, age, and gender
- C. Education and profession
- D. Height, weight, and activities
Answer: A
NEW QUESTION # 91
Using hash values With stored personal data BEST enables an organization to
- A. protect against unauthorized access.
- B. detect changes to the data.
- C. tag the data with classification information
- D. ensure data indexing performance.
Answer: B
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 # 92
Which of the following features should be incorporated into an organization's technology stack to meet privacy requirements related to the rights of data subjects to control their personal data?
- A. Allowing individuals to have direct access to their data
- B. Providing system engineers the ability to search and retrieve data
- C. Establishing a data privacy customer service bot for individuals
- D. Allowing system administrators to manage data access
Answer: A
Explanation:
Any organization collecting information about EU residents is required to operate with transparency in collecting and using their personal information. Chapter III of the GDPR defines eight data subject rights that have become foundational for other privacy regulations around the world:
Right to access personal data. Data subjects can access the data collected on them.
NEW QUESTION # 93
Data collected by a third-party vendor and provided back to the organization may not be protected according to the organization's privacy notice. Which of the following is the BEST way to address this concern?
- A. Validate contract compliance.
- B. Review the privacy policy.
- C. Re-assess the information security requirements.
- D. Obtain independent assurance of current practices.
Answer: A
Explanation:
Explanation
The best way to address the concern that data collected by a third-party vendor and provided back to the organization may not be protected according to the organization's privacy notice is to validate contract compliance. This means that the organization should verify that the third-party vendor is adhering to the terms and conditions of the contract, which should include clauses on data protection, privacy, and security. The contract should also specify the obligations and responsibilities of both parties regarding data collection, processing, storage, transfer, retention, and disposal. By validating contract compliance, the organization can ensure that the third-party vendor is following the same privacy standards and practices as the organization.
References:
* ISACA, CDPSE Review Manual 2021, Chapter 2: Privacy Governance, Section 2.3: Third-Party Management, p. 51-52.
* ISACA, Data Privacy Audit/Assurance Program, Control Objective 8: Third-Party Management, p. 14-151
NEW QUESTION # 94
Which of the following should FIRST be established before a privacy office starts to develop a data protection and privacy awareness campaign?
- A. Detailed documentation of data privacy processes
- B. Business objectives of senior leaders
- C. Strategic goals of the organization
- D. Contract requirements for independent oversight
Answer: C
NEW QUESTION # 95
Which of the following is the BEST control to detect potential internal breaches of personal data?
- A. Data loss prevention (DLP) systems
- B. Classification of data
- C. User behavior analytics tools
- D. Employee background Checks
Answer: C
Explanation:
Explanation
User behavior analytics tools are the best control to detect potential internal breaches of personal data because they monitor and analyze the activities and patterns of users on the network and systems, and alert or block any anomalous or suspicious behavior that may indicate unauthorized access, misuse or exfiltration of personal data. Data loss prevention (DLP) systems, employee background checks and classification of data are useful controls to prevent or mitigate internal breaches of personal data, but they do not necessarily detect them.
References:
* CDPSE Review Manual (Digital Version), Domain 2: Privacy Architecture, Task 2.4: Design and/or implement privacy controls1
* CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3: Privacy Architecture, Section: Privacy Controls2
NEW QUESTION # 96
When using pseudonymization to prevent unauthorized access to personal data, which of the following is the MOST important consideration to ensure the data is adequately protected?
- A. The identifier must be kept separate and distinct from the data it protects.
- B. The data must be protected by multi-factor authentication.
- C. The data must be stored in locations protected by data loss prevention (DLP) technology.
- D. The key must be a combination of alpha and numeric characters.
Answer: C
NEW QUESTION # 97
Which of the following system architectures BEST supports anonymity for data transmission?
- A. Plug-in-based
- B. Peer-to-peer
- C. Client-server
- D. Front-end
Answer: B
Explanation:
Explanation
A peer-to-peer (P2P) system architecture is a network model where each node (peer) can act as both a client and a server, and communicate directly with other peers without relying on a centralized authority or intermediary. A P2P system architecture best supports anonymity for data transmission, by providing the following advantages:
* It can hide the identity and location of the peers, by using encryption, pseudonyms, proxies, or onion routing techniques, such as Tor1 or I2P2. These techniques can prevent eavesdropping, tracking, or censorship by third parties, such as Internet service providers, governments, or hackers.
* It can distribute the data across multiple peers, by using hashing, replication, or fragmentation techniques, such as BitTorrent3 or IPFS4. These techniques can reduce the risk of data loss, corruption,
* or tampering by malicious peers, and increase the availability and resilience of the data.
* It can enable the peers to control their own data, by using consensus, validation, or incentive mechanisms, such as blockchain5 or smart contracts. These mechanisms can ensure the integrity and authenticity of the data transactions, and enforce the privacy policies and preferences of the data owners.
NEW QUESTION # 98
Which of the following is the BEST way to hide sensitive personal data that is in use in a data lake?
- A. Data truncation
- B. Data minimization
- C. Data encryption
- D. Data masking
Answer: D
NEW QUESTION # 99
Which of the following scenarios should trigger the completion of a privacy impact assessment (PIA)?
- A. New inter-organizational data flows
- B. New data retention and backup policies
- C. Updates to the enterprise data policy
- D. Updates to data quality standards
Answer: A
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 # 100
During the design of a role-based user access model for a new application, which of the following principles is MOST important to ensure data privacy is protected?
- A. Segregation of duties
- B. Unique user credentials
- C. Two-person rule
- D. Need-to-know basis
Answer: D
Explanation:
Explanation
The need-to-know basis principle is a security principle that states that access to personal data should be limited to those who have a legitimate purpose for accessing it. The need-to-know basis principle helps to protect data privacy by minimizing the exposure of personal data to unauthorized or unnecessary parties, reducing the risk of data breaches, leaks, or misuse. The need-to-know basis principle should be applied when designing a role-based user access model for a new application, by defining clear roles and responsibilities for different users, granting access rights based on their roles and functions, and enforcing access controls and audits to monitor and verify data access. References: : CDPSE Review Manual (Digital Version), page 105
NEW QUESTION # 101
A multi-national organization has decided that regional human resources (HR) team members must be limited in their access to employee data only within their regional office. Which of the following is the BEST approach?
- A. Provision-based access control (PBAC)
- B. Mandatory access control (MAC)
- C. Attribute-based access control (ABAC)
- D. Discretionary access control (DAC)
Answer: C
Explanation:
Explanation
Attribute-based access control (ABAC) is the best approach for limiting the access of regional HR team members to employee data only within their regional office, because it allows for fine-grained and dynamic access control based on attributes of the subject, object, environment, and action. Attributes are characteristics or properties that can be used to describe or identify entities, such as users, resources, locations, roles, or permissions. ABAC uses policies and rules that evaluate the attributes and grant or deny access accordingly.
For example, an ABAC policy could state that a user can access an employee record if and only if the user's role is HR and the user's region matches the employee's region. This way, the access control can be tailored to the specific needs and context of the organization, without relying on predefined or fixed access levels.
References:
* Attribute-Based Access Control (ABAC), NIST
* What is Attribute-Based Access Control (ABAC)?, Axiomatics
* Access Control Models - Westoahu Cybersecurity, Westoahu Cybersecurity
NEW QUESTION # 102
Which of the following is the MOST important privacy consideration for video surveillance in high security areas?
- A. There is no limitation for retention of this data.
- B. Video surveillance recordings may only be viewed by the organization.
- C. Video surveillance data must be stored in encrypted format.
- D. Those affected must be informed of the video surveillance_
Answer: D
Explanation:
Explanation
One of the key principles of data protection is transparency, which means that individuals have the right to be informed about the collection and use of their personal data. This applies to video surveillance as well, especially in high security areas where the impact on privacy may be significant. Therefore, it is important to inform those affected by video surveillance about the purpose, scope, retention and access policies of the data collected.
References:
* ISACA Certified Data Privacy Solutions Engineer (CDPSE) Exam Content Outline, Domain 2: Privacy Architecture, Task 2.1: Design privacy controls based on privacy principles and legal requirements, Subtask 2.1.1: Identify applicable privacy principles and legal requirements.
* How can we comply with the data protection principles when using surveillance systems? | ICO
NEW QUESTION # 103
Which of the following is the BEST practice to protect data privacy when disposing removable backup media?
- A. Data masking
- B. Data sanitization
- C. Data scrambling
- D. Data encryption
Answer: B
Explanation:
Explanation
The best practice to protect data privacy when disposing removable backup media is B. Data sanitization.
A comprehensive explanation is:
Data sanitization is the process of permanently and irreversibly erasing or destroying the data on a storage device or media, such as a hard drive, a USB drive, a CD/DVD, etc. Data sanitization ensures that the data cannot be recovered or reconstructed by any means, even by using specialized software or hardware tools.
Data sanitization is also known as data wiping, data erasure, data destruction, or data disposal.
Data sanitization is the best practice to protect data privacy when disposing removable backup media because it prevents unauthorized access, disclosure, theft, or misuse of the sensitive or confidential data that may be stored on the media. Data sanitization also helps to comply with the legal and regulatory requirements and standards for data protection and privacy, such as the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS), etc.
There are different methods and techniques for data sanitization, depending on the type and format of the storage device or media. Some of the common methods are:
* Overwriting: Overwriting replaces the existing data on the device or media with random or meaningless data, such as zeros, ones, or patterns. Overwriting can be done multiple times to increase the level of security and assurance. Overwriting is suitable for magnetic media, such as hard disk drives (HDDs) or tapes.
* Degaussing: Degaussing exposes the device or media to a strong magnetic field that disrupts and destroys the magnetic structure and alignment of the data. Degaussing renders the device or media unusable and unreadable. Degaussing is suitable for magnetic media, such as hard disk drives (HDDs) or tapes.
* Physical Destruction: Physical destruction involves applying physical force or damage to the device or media that breaks it into small pieces or shreds it. Physical destruction can be done by using mechanical tools, such as shredders, crushers, drills, hammers, etc., or by using thermal methods, such as incineration, melting, etc. Physical destruction is suitable for any type of media, such as hard disk drives (HDDs), solid state drives (SSDs), USB drives, CDs/DVDs, etc.
Data encryption (A) is not a good practice to protect data privacy when disposing removable backup media because it does not erase or destroy the data on the media. Data encryption only transforms the data into an unreadable format that can only be accessed with a key or a password. However, if the key or password is lost, stolen, compromised, or guessed by an attacker, the data can still be decrypted and exposed. Data encryption is more suitable for protecting data in transit or at rest, but not for disposing data.
Data scrambling is not a good practice to protect data privacy when disposing removable backup media because it does not erase or destroy the data on the media. Data scrambling only rearranges the order of the bits or bytes of the data to make it appear random or meaningless. However, if the algorithm or pattern of scrambling is known or discovered by an attacker, the data can still be unscrambled and restored. Data scrambling is more suitable for obfuscating data for testing or debugging purposes, but not for disposing data.
Data masking (D) is not a good practice to protect data privacy when disposing removable backup media because it does not erase or destroy the data on the media. Data masking only replaces some parts of the data with fictitious or anonymized values to hide its true identity or meaning. However, if the original data is still stored somewhere else or if the masking technique is weak or reversible by an attacker, the data can still be unmasked and revealed. Data masking is more suitable for protecting data in use or in analysis, but not for disposing data.
References:
* What Is Data Sanitization?1
* How to securely erase hard drives (HDDs) and solid state drives (SSDs)2
* Secure Data Disposal & Destruction: 6 Methods to Follow3
NEW QUESTION # 104
Which of the following is the PRIMARY reason for an organization to use hash functions when hardening application systems involved in biometric data processing?
- A. To meet the organization's security baseline
- B. To prevent possible identity theft
- C. To ensure technical security measures are effective
- D. To reduce the risk of sensitive data breaches
Answer: D
Explanation:
Explanation
The primary reason for an organization to use hash functions when hardening application systems involved in biometric data processing is to reduce the risk of sensitive data breaches, because hash functions are one-way mathematical functions that transform biometric data into a unique and irreversible representation that cannot be reconstructed or reversed. This means that even if an attacker gains access to the hashed biometric data, they cannot use it to identify or impersonate the individual. Hash functions also help preserve the privacy and confidentiality of biometric data by preventing unauthorized access, modification, or disclosure.
References:
* CDPSE Exam Content Outline, Domain 2 - Privacy Architecture (Privacy Architecture Implementation), Task 2: Implement privacy solutions1.
* CDPSE Review Manual, Chapter 2 - Privacy Architecture, Section 2.3 - Privacy Architecture Implementation2.
* CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 - Privacy Architecture, Section 2.4 - Remote Access3.
NEW QUESTION # 105
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. Self-regulatory
- C. Comprehensive
- D. Co-regulatory
Answer: C
NEW QUESTION # 106
An organization has a policy requiring the encryption of personal data if transmitted through email. Which of the following is the BEST control to ensure the effectiveness of this policy?
- A. Provide periodic user awareness training on data encryption.
- B. Implement a data loss prevention (DLP) tool.
- C. Enforce annual attestation to policy compliance.
- D. Conduct regular control self-assessments (CSAs).
Answer: B
Explanation:
Explanation
A data loss prevention (DLP) tool is a software solution that monitors, detects and prevents the unauthorized transmission or leakage of sensitive data, such as personal data, from an organization's network or devices. A DLP tool can help to ensure the effectiveness of a policy requiring the encryption of personal data if transmitted through email, by applying the following controls:
Scanning the content and attachments of outgoing emails for personal data, such as names, email addresses, biometric data, IP addresses, etc.
Blocking or quarantining emails that contain unencrypted personal data, and alerting the sender and/or the administrator of the policy violation.
Encrypting personal data automatically before sending them through email, using encryption standards and algorithms that are compliant with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA).
Generating audit logs and reports of email activities and incidents involving personal data, and providing visibility and accountability for policy compliance.
The other options are less effective or irrelevant to ensure the effectiveness of the policy. Providing periodic user awareness training on data encryption is a good practice, but it does not guarantee that users will follow the policy or know how to encrypt personal data properly. Conducting regular control self-assessments (CSAs) is a useful method to evaluate the design and operation of the policy, but it does not prevent or detect policy violations in real time. Enforcing annual attestation to policy compliance is a formal way to demonstrate user commitment to the policy, but it does not verify or measure the actual level of compliance.
References:
The Complexity Conundrum: Simplifying Data Security - ISACA, section 3: "Data loss prevention (DLP) solutions can help prevent unauthorized access to sensitive information by monitoring network traffic for specific keywords or patterns." Guide to Securing Personal Data in Electronic Medium, section 3.2: "Organisations should consider implementing DLP solutions to prevent unauthorised disclosure of personal data via email." Encryption in the Hands of End Users - ISACA, section 2: "A key goal of encryption is to protect the file even when direct access is possible or the transfer is intercepted."
NEW QUESTION # 107
Which of the following should be done FIRST to address privacy risk when migrating customer relationship management (CRM) data to a new system?
- A. Develop a data migration plan.
- B. Obtain consent from data subjects.
- C. Perform a privacy impact assessment (PIA).
- D. Conduct a legitimate interest analysis (LIA).
Answer: C
Explanation:
Explanation
A privacy impact assessment (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 done first to address privacy risk when migrating customer relationship management (CRM) data to a new system, as it would help to ensure that privacy risks are identified and mitigated before the migration is executed. 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 as important as performing a PIA when addressing privacy risk when migrating CRM data to a new system. Developing a data migration plan is a process of defining and documenting the objectives, scope, approach, methods and steps for transferring data from one system to another, but it does not necessarily address privacy risk or impact. Conducting a legitimate interest analysis (LIA) is a process of assessing whether there is a legitimate interest for processing personal data that outweighs the rights and interests of the data subjects, but it is only applicable in certain jurisdictions and situations where legitimate interest is a valid legal basis for processing. Obtaining consent from data subjects is a process of obtaining their permission or agreement before collecting, using, disclosing or transferring their personal data for specific purposes, but it may not be required or sufficient for migrating CRM data to a new system, depending on the context and nature of the migration and the applicable laws and regulations1, p. 67 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 108
Which of the following is an example of data anonymization as a means to protect personal data when sharing a database?
- A. The data is transformed such that re-identification is impossible.
- B. Key fields are hidden and unmasking is required to access to the data.
- C. Names and addresses are removed but the rest of the data is left untouched.
- D. The data is encrypted and a key is required to re-identify the data.
Answer: A
Explanation:
Explanation
Data anonymization is a method of protecting personal data by modifying or removing any information that can be used to identify an individual, either directly or indirectly, in a data set. Data anonymization aims to prevent the re-identification of the data subjects, even by the data controller or processor, or by using additional data sources or techniques. Data anonymization 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 respect the privacy rights and preferences of the data subjects.
The data is transformed such that re-identification is impossible is an example of data anonymization, as it involves applying irreversible techniques, such as aggregation, generalization, perturbation, or synthesis, to alter the original data in a way that preserves their utility and meaning, but eliminates their identifiability. For example, a database of customer transactions can be anonymized by replacing the names and addresses of the customers with random codes, and by adding noise or rounding to the amounts and dates of the transactions.
The other options are not examples of data anonymization, but of other methods of protecting personal data that do not guarantee the impossibility of re-identification. The data is encrypted and a key is required to re-identify the data is an example of data pseudonymization, which is a method of replacing direct identifiers with pseudonyms, such as codes or tokens, that can be linked back to the original data with a key or algorithm.
Data pseudonymization does not prevent re-identification by authorized parties who have access to the key or algorithm, or by unauthorized parties who can break or bypass the encryption. Key fields are hidden and unmasking is required to access to the data is an example of data masking, which is a method of concealing or obscuring sensitive data elements, such as names or credit card numbers, with characters, symbols or blanks.
Data masking does not prevent re-identification by authorized parties who have permission to unmask the data, or by unauthorized parties who can infer or guess the hidden data from other sources or clues. Names and addresses are removed but the rest of the data is left untouched is an example of data deletion, which is a method of removing direct identifiers from a data set. Data deletion does not prevent re-identification by using indirect identifiers, such as age, gender, occupation or location, that can be combined or matched with other data sources to re-establish the identity of the data subjects.
References:
Big Data Deidentification, Reidentification and Anonymization - ISACA, section 2: "Anonymization is the ability for the data controller to anonymize the data in a way that it is impossible for anyone to establish the identity of the data." Data Anonymization - Overview, Techniques, Advantages, section 1: "Data anonymization is a method of ensuring that the company understands and enforces its duty to secure sensitive, personal, and confidential data in a world of highly complex data protection mandates that can vary depending on where the business and the customers are based."
NEW QUESTION # 109
An organization want to develop an application programming interface (API) to seamlessly exchange personal data with an application hosted by a third-party service provider. What should be the FIRST step when developing an application link?
- A. Data normalization
- B. Data tagging
- C. Data hashing
- D. Data mapping
Answer: D
NEW QUESTION # 110
Which of the following is the BEST way for senior management to verify the success of its commitment to privacy by design?
- A. Identify trends in the organization's number of privacy incidents.
- B. Review the findings of an industry benchmarking assessment
- C. Review the findings of a third-party privacy control assessment
- D. Identify trends in the organization's amount of compromised personal data
Answer: C
Explanation:
Explanation
A third-party privacy control assessment is an independent and objective evaluation of the design and effectiveness of the privacy controls implemented by an organization to protect personal data and comply with privacy laws and regulations. A third-party privacy control assessment can help senior management to verify the success of its commitment to privacy by design, by providing the following benefits:
It can measure the extent to which the organization has adopted and integrated the principles and practices of privacy by design throughout its products, services, processes and systems.
It can identify the strengths and weaknesses of the organization's privacy governance, policies, procedures, standards and guidelines, and provide recommendations for improvement.
It can validate the organization's compliance with the applicable privacy requirements and expectations of its customers, stakeholders, regulators and auditors.
It can enhance the organization's reputation and trustworthiness as a responsible and transparent data controller and processor.
The other options are less effective or irrelevant for verifying the success of the commitment to privacy by design. Reviewing the findings of an industry benchmarking assessment may provide some insights into how the organization compares with its peers or competitors in terms of privacy performance, but it may not reflect the specific privacy goals, risks and challenges of the organization. Identifying trends in the organization's amount of compromised personal data or number of privacy incidents may indicate some aspects of the organization's privacy maturity, but they are reactive and lagging indicators that do not capture the proactive and preventive nature of privacy by design. Moreover, these metrics may not account for other factors that may influence the occurrence or impact of data breaches or privacy violations, such as external threats, human errors or environmental changes.
References:
Privacy by Design: How Far Have We Come? - ISACA, section 1: "Privacy by design challenges conventional system thinking. It mandates that any system, process or infrastructure that uses personal data consider privacy throughout its development life cycle." Privacy Control Assessment - ISACA, section 1: "A Privacy Control Assessment (PCA) is an independent evaluation performed by a qualified assessor to determine whether an entity's controls are suitably designed and operating effectively to meet its objectives related to protecting personal information." Privacy by Design: The New Competitive Advantage - ISACA, section 2: "Privacy by design is a proactive approach to embedding privacy into the design specifications of various technologies, business practices and networked infrastructure."
NEW QUESTION # 111
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