CDPSE Exam Dumps - Certified Data Privacy Solutions Engineer

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Question # 17

Within a business continuity plan (BCP), which of the following is the MOST important consideration to ensure the ability to restore availability and access to personal data in the event of a data privacy incident?

Offline backup availability

Recovery time objective (RTO)

Recovery point objective (RPO)

Online backup frequency

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Question # 18

When tokenizing credit card data, what security practice should be employed with the original data before it is stored in a data lake?

Encoding

Backup

Encryption

Classification

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Answer:

Explanation:

Reference: [Reference: https://cpl.thalesgroup.com/faq, Encryption is a security practice that transforms data into an unreadable format using a secret key or algorithm. Encryption protects the confidentiality and integrity of data, especially when they are stored in a data lake or other cloud-based storage systems. Encryption ensures that only authorized parties can access and use the original data, while unauthorized parties cannot decipher or modify the data without the key or algorithm. 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 securing the original data before storing them in a data lake. Encoding is a process of converting data from one format to another, such as base64 or hexadecimal. Encoding does not protect the data from unauthorized access or use, as it can be easily reversed without a key or algorithm. Backup is a process of creating a copy of data for recovery purposes, such as in case of data loss or corruption. Backup does not protect the data from unauthorized access or use, as it may create additional copies of sensitive data that need to be secured. Classification is a process of assigning labels or categories to data based on their sensitivity, value or risk level, such as public, confidential or restricted. Classification helps to identify and manage the data according to their security requirements, but it does not protect the data from unauthorized access or use by itself., References:, Tokenization: Your Secret Weapon for Data Security? - ISACA, section 2: â€œEncryption 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.â€, Credit Card Tokenization: What It Is, How It Works - NerdWallet, section 2: â€œEncrypting personal data automatically before sending them through email, using encryption standards and algorithms that are compliant with data protection laws and regulations.â€, Tokenized Credit Card Data: Everything You Need to Know - Koombea, section 3: â€œThe sensitive card data itself is stored on a server with much higher security.â€, What is Data Tokenization and Why is it Important? | Immuta, section 2: â€œTokenization replaces the original sensitive data with randomly generated, nonsensitive substitute characters as placeholder data.â€, ]

Question # 19

Which of the following MUST be available to facilitate a robust data breach management response?

Lessons learned from prior data breach responses

Best practices to obfuscate data for processing and storage

An inventory of previously impacted individuals

An inventory of affected individuals and systems

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Answer:

Explanation:

Reference: [Reference: https://securityscorecard.com/blog/the-ultimate-data-breach-response-plan, To facilitate a robust data breach management response, an organization must have an inventory of affected individuals and systems, as this will help to identify the scope, impact and severity of the breach, and to take appropriate actions to contain, mitigate and notify the breach. An inventory of affected individuals and systems should include the following information:, The number and categories of data subjects whose personal data have been compromised, The types and volumes of personal data that have been exposed, altered or deleted, The sources and locations of the personal data, such as databases, servers, devices or third parties, The potential or actual consequences of the breach for the data subjects, such as identity theft, fraud, discrimination or physical harm, The systems and processes that have been compromised or affected by the breach, such as networks, applications, devices or security controls, The vulnerabilities or risks that have been exploited or introduced by the breach, such as malware, phishing, ransomware or human error, An inventory of affected individuals and systems will help the organization to assess the risk level of the breach, and to determine the appropriate response strategy and actions, such as:, Isolating or shutting down the affected systems or processes, Restoring or recovering the personal data from backups or other sources, Erasing or encrypting the personal data on the compromised devices or media, Analyzing the root cause and impact of the breach, Reporting the breach to the relevant authorities and stakeholders, Notifying the data subjects of their rights and remedies, Implementing corrective and preventive measures to avoid future breaches, References:, Data Breach Preparation and Response in Accordance With GDPR - ISACA, section 4: â€œThe controller should document any personal data breaches, comprising the facts relating to the personal data breach, its effects and the remedial action taken.â€, Cybersecurity Incident Response Exercise Guidance - ISACA, section 3: â€œThe IRT should identify all assets involved in an incident (e.g., hardware, software) and determine what information was compromised (e.g., PII).â€, Guide to Securing Personal Data in Electronic Medium, section 3.5: â€œOrganisations should maintain an inventory of personal data in their possession or under their control.â€, , , ]

Question # 20

Which of the following is the GREATEST concern for an organization subject to cross-border data transfer regulations when using a cloud service provider to store and process data?

The service provider has denied the organizationâ€™s request for right to audit.

Personal data stored on the cloud has not been anonymized.

The extent of the service providerâ€™s access to data has not been established.

The data is stored in a region with different data protection requirements.

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Answer:

Explanation:

Reference: [Reference: https://www.isaca.org/resources/isaca-journal/past-issues/2014/data-owners-responsibilities-when-migrating-to-the-cloud, Cross-border data transfer regulations are laws and rules that govern the movement of personal data across national or regional boundaries. They aim to protect the privacy rights and interests of the data subjects, and to ensure that their personal data are not subject to lower or incompatible standards of protection in other jurisdictions. Examples of cross-border data transfer regulations include the General Data Protection Regulation (GDPR) in the European Union, the California Consumer Privacy Act (CCPA) in the United States, and the Personal Information Protection Law (PIPL) in China., When an organization uses a cloud service provider to store and process data, it may face the risk of transferring personal data to a region with different data protection requirements, such as a region that has not been recognized as providing adequate or equivalent levels of protection by the original jurisdiction, or a region that has conflicting or incompatible laws or regulations with the original jurisdiction. This may result in the following consequences for the organization:, It may violate the cross-border data transfer regulations of the original jurisdiction, and face legal sanctions, fines, or lawsuits from the regulators, customers, or data subjects., It may lose control or visibility over the personal data, and expose them to unauthorized or unlawful access, use, modification, or disclosure by the cloud service provider or third parties., It may compromise the trust and confidence of the customers and data subjects, and damage its reputation and competitiveness., Therefore, an organization subject to cross-border data transfer regulations should carefully assess and manage the risks of using a cloud service provider to store and process data, and ensure that it has appropriate safeguards and mechanisms in place to protect the privacy of personal data across borders., References:, Cross-Border Data Transfer and Data Localization Requirements â€¦ - ISACA, section 1: â€œAs a result, Chinaâ€™s National Peopleâ€™s Congress (NPC) and the National Committee of the Chinese Peopleâ€™s Political Consultative Conference (PCC) put forward suggestions on legislation addressing cross-border data transfer.â€, Regulatory Approaches to Cross-Border Data Transfers, section 1: â€œCross-border transfers of personal information are increasingly common in todayâ€™s globalised economy. However, different jurisdictions have different approaches to regulating such transfers.â€, Cross-Border Data Transfer Requirements: Global Privacy Laws - Securiti, section 1: â€œData transfer conditions, mechanisms, localization and regulatory authority of each law.â€, The Regulation of Cross-Border Data Transfers in the Context â€¦ - Springer, section 1: â€œNo Party shall prohibit or restrict the cross-border transfer of information, including personal information, by electronic means if this activity is for the conduct of the business of a covered person.â€, ]

Question # 21

Which of the following BEST enables an organization to ensure consumer credit card numbers are accurately captured?

Input reference controls

Access controls

Input validation controls

Reconciliation controls

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Answer:

Explanation:

Input validation controls are the best way to ensure consumer credit card numbers are accurately captured. Input validation controls are methods that check the format, type, range, and length of the input data before accepting, processing, or storing it. Input validation controls can help prevent errors, fraud, or data loss by rejecting invalid, incomplete, or malicious input.Â For example, input validation controls can verify that a credit card number follows the Luhn algorithm1, has the correct number of digits2, and matches the card issuerâ€™s prefix3.Â Input validation controls can also prevent SQL injection attacks4Â or cross-site scripting attacks5Â that may compromise the security and privacy of the data.

Input reference controls, access controls, and reconciliation controls are also important for data quality and security, but they do not directly ensure the accuracy of consumer credit card numbers. Input reference controls are methods that compare the input data with a predefined list of values or a reference table to ensure consistency and validity. For example, input reference controls can check if a country name or a postal code is valid by looking up a database of valid values. Access controls are methods that restrict who can access, modify, or delete the data based on their roles, permissions, or credentials. For example, access controls can prevent unauthorized users from accessing or tampering with consumer credit card numbers. Reconciliation controls are methods that compare the data from different sources or systems to ensure completeness and accuracy. For example, reconciliation controls can check if the transactions recorded in the accounting system match the transactions processed by the payment gateway.

References:Â Luhn algorithm,Â Credit card number,Â Bank card number,Â SQL injection,Â Cross-site scripting

Question # 22

Which of the following is a role PRIMARILY assigned to an internal data owner?

Monitoring data retention periods

Authorizing access rights

Serving as primary contact with regulators

Implementing appropriate technical controls

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