Which of the following provides the BEST assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy?
Answer : D
Conducting a risk assessment of all candidate vendors is the best way to provide assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy, because it allows the organization to evaluate the vendor's privacy practices, controls, and performance against a set of criteria and standards. A risk assessment can also help to identify any gaps, weaknesses, or threats that may pose a risk to the organization's data privacy objectives and obligations. A risk assessment can be based on various sources of information, such as self-attestations, documentation, audits, or independent verification. A risk assessment can also help to prioritize the vendors based on their level of risk and impact, and to determine the appropriate mitigation or monitoring actions.
8 Steps to Manage Vendor Data Privacy Compliance, DocuSign
Supplier Security and Privacy Assurance (SSPA) program, Microsoft Learn
Which of the following is the MOST important attribute of a privacy policy?
Answer : C
Transparency is the most important attribute of a privacy policy because it informs the users about how their personal data is collected, used, shared, and protected by the organization. Transparency also helps to build trust and confidence with the users, and to comply with legal and ethical obligations regarding data privacy.
ISACA Certified Data Privacy Solutions Engineer Study Guide, Domain 2: Privacy Governance, Task 2.1: Develop and implement privacy policies and procedures, p. 49-50.
Which of the following is MOST likely to present a valid use case for keeping a customer's personal data after contract termination?
Answer : C
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. 99-100Reference:: CDPSE Review Manual (Digital Version)
Which of the following is the MOST effective remote access model for reducing the likelihood of attacks originating from connecting devices?
Answer : C
A thin client remote desktop protocol (RDP) is the most effective remote access model for reducing the likelihood of attacks originating from connecting devices, because it minimizes the amount of data and processing that occurs on the remote device. A thin client RDP only sends keyboard, mouse and display information between the remote device and the server, while the actual processing and storage of data happens on the server. This reduces the exposure of sensitive data and applications to potential attackers who may compromise the remote device.
When tokenizing credit card data, what security practice should be employed with the original data before it is stored in a data lake?
Answer : C
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.
Of the following, who should be PRIMARILY accountable for creating an organization's privacy management strategy?
Answer : D
Some organizations, typically those that manage large amounts of personal information related to employees, customers, or constituents, will employ a chief privacy officer (CPO). Some organizations have a CPO because applicable regulations such as the Gramm-Leach-Bliley Act (GLBA) require it. Other regulations such as the Health Information Portability and Accountability Act (HIPAA), the Fair Credit Reporting Act (FCRA), and the GLBA place a slate of responsibilities upon an organization that compels them to hire an executive responsible for overseeing compliance.
The chief privacy officer (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 chief data officer (CDO), the information security steering committee, and the legal counsel, to ensure that privacy is integrated into all aspects of the organization's operations.Reference:: CDPSE Review Manual (Digital Version), page 21
The BEST way for a multinational organization to ensure the comprehensiveness of its data privacy policy is to perform an annual review of changes to privacy
regulations in.
Answer : B
A multinational organization that operates across different countries and regions should perform an annual review of changes to privacy regulations in all jurisdictions where its corporate data is processed. This is because different jurisdictions may have different privacy laws and requirements that apply to the collection, use, storage, transfer, and disposal of personal dat
a. For example, the EU General Data Protection Regulation (GDPR) applies to any organization that processes personal data of individuals in the EU, regardless of where the organization is located or where the data is processed. Therefore, the organization should keep track of the changes to privacy regulations in all relevant jurisdictions and update its data privacy policy accordingly to ensure compliance and avoid penalties or lawsuits.