[Apr-2024] ISACA CDPSE DUMPS WITH REAL EXAM QUESTIONS
2024 New ActualCollection CDPSE PDF Recently Updated Questions
NEW QUESTION # 59
Which of the following is the MOST effective way to support organizational privacy awareness objectives?
- A. Including mandatory awareness training as part of performance evaluations
- B. Funding in-depth training and awareness education for data privacy staff
- C. Implementing an annual training certification process
- D. Customizing awareness training by business unit function
Answer: D
Explanation:
Explanation
The most effective way to support organizational privacy awareness objectives is D. Customizing awareness training by business unit function.
A comprehensive explanation is:
Organizational privacy awareness objectives are the goals and expectations that an organization sets for its employees and stakeholders regarding the protection and management of personal data. Privacy awareness objectives may vary depending on the nature, scope, and purpose of the organization's data processing activities, as well as the legal, regulatory, contractual, and ethical obligations and implications that apply to them.
One of the best practices to support organizational privacy awareness objectives is to customize awareness training by business unit function. This means that the organization should design and deliver privacy awareness training programs that are tailored to the specific roles, responsibilities, and needs of each business unit or department within the organization. Customizing awareness training by business unit function can have several benefits, such as:
Enhancing the relevance and effectiveness of the training content and methods for each audience group, by addressing their specific privacy challenges, risks, and opportunities.
Increasing the engagement and motivation of the trainees, by showing them how privacy relates to their daily tasks, goals, and performance.
Improving the retention and application of the training knowledge and skills, by providing practical examples, scenarios, and exercises that reflect the real-world situations and problems that the trainees may encounter.
Fostering a culture of privacy across the organization, by creating a common language and understanding of privacy concepts, principles, and practices among different business units or departments.
Some examples of how to customize awareness training by business unit function are:
Providing different levels or modules of training based on the degree of access or exposure to personal data that each business unit or department has. For example, a basic level of training for all employees, an intermediate level of training for employees who handle personal data occasionally or incidentally, and an advanced level of training for employees who handle personal data regularly or extensively.
Providing different topics or themes of training based on the type or category of personal data that each business unit or department processes. For example, a general topic of training for employees who process non-sensitive or non-personal data, a specific topic of training for employees who process sensitive or special data categories (such as health, biometric, financial, or political data), and a specialized topic of training for employees who process high-risk or high-value data (such as intellectual property, trade secrets, or customer loyalty data).
Providing different formats or modes of training based on the preferences or constraints of each business unit or department. For example, a face-to-face format of training for employees who work in the same location or office, an online format of training for employees who work remotely or across different time zones, and a blended format of training for employees who work in a hybrid mode or have flexible schedules.
The other options are not as effective as option D.
Funding in-depth training and awareness education for data privacy staff (A) may improve the competence and confidence of the data privacy staff who are responsible for designing and implementing the privacy policies and practices of the organization, but it does not necessarily support the organizational privacy awareness objectives for the rest of the employees and stakeholders.
Implementing an annual training certification process (B) may ensure that the employees and stakeholders are updated and refreshed on the privacy policies and practices of the organization on a regular basis, but it does not necessarily address their specific privacy needs and challenges based on their business unit function.
Including mandatory awareness training as part of performance evaluations may incentivize the employees and stakeholders to participate in and complete the privacy awareness training programs offered by the organization, but it does not necessarily enhance their understanding and application of privacy concepts and principles based on their business unit function.
References:
The Benefits of Information Security and Privacy Awareness Training Programs1 What Is Your Privacy and Data Protection Strategy?2 What is Data Privacy Awareness?3
NEW QUESTION # 60
Which of the following helps to ensure the identities of individuals in two-way communication are verified?
- A. Secure Shell (SSH)
- B. Transport Layer Security (TLS)
- C. Mutual certificate authentication
- D. Virtual private network (VPN)
Answer: C
NEW QUESTION # 61
Which of the following information would MOST likely be considered sensitive personal data?
- A. Mailing address
- B. Ethnic origin
- C. Contact phone number
- D. Bank account login ID
Answer: B
Explanation:
Explanation
Sensitive personal data is a subset of personal data that reveals or relates to more intimate or confidential aspects of a person's identity, such as their racial or ethnic origin, religious or philosophical beliefs, health status, sexual orientation, political opinions, trade union membership, biometric or genetic data, or criminal record. Sensitive personal data is subject to more stringent legal and regulatory protections and requires a higher level of consent from the data subject to be processed. Mailing address, bank account login ID, and contact phone number are examples of personal data, but not sensitive personal data, as they do not reveal or relate to such intimate or confidential aspects of a person's identity.
References: CDPSE Review Manual, 2021, p. 29
NEW QUESTION # 62
Which of the following is MOST likely to present a valid use case for keeping a customer's personal data after contract termination?
- A. For the purpose of medical research
- B. Ease of onboarding when the customer returns
- C. A forthcoming campaign to win back customers
- D. A required retention period due to regulations
Answer: D
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 # 63
Which of the following should be done FIRST to establish privacy to design when developing a contact-tracing application?
- A. Identify privacy controls for the application.
- B. Conduct a development environment review.
- C. Conduct a privacy impact assessment (PIA).
- D. Identify differential privacy techniques.
Answer: D
NEW QUESTION # 64
It is MOST important to consider privacy by design principles during which phase of the software development life cycle (SDLC)?
- A. Requirements definition
- B. Implementation
- C. Application design
- D. Testing
Answer: D
NEW QUESTION # 65
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. Ensure the data loss prevention (DLP) tool is logging activity.
- C. Determine what data is required by the application.
- D. De-identify all personal data in the database.
Answer: C
Explanation:
Explanation
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.
References:
* 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
NEW QUESTION # 66
Which of the following is the best reason for a health organization to use desktop virtualization to implement stronger access control to systems containing patient records?
- A. Limited functions and capabilities of a secured operating environment
- B. Monitored network activities for unauthorized use
- C. Unlimited functionalities and highly secured applications
- D. Improved data integrity and reduced effort for privacy audits
Answer: B
NEW QUESTION # 67
Which of the following is MOST important to include in a data use policy?
- A. The requirements for collecting and using personal data
- B. The reason for collecting and using personal data
- C. The length of time personal data will be retained
- D. The method used to delete or destroy personal data
Answer: A
Explanation:
Explanation
A data use policy is a document that defines the rules and guidelines for how personal data are collected, used, stored, shared and deleted by an organization. It is an important part of data governance and compliance, as it helps to ensure that personal data are handled in a lawful, fair and transparent manner, respecting the rights and preferences of data subjects. A data use policy should include the requirements for collecting and using personal data, such as the legal basis, the purpose, the scope, the consent, the data minimization, the accuracy, the security and the accountability. These requirements help to establish the legitimacy and necessity of data processing activities, and to prevent unauthorized or excessive use of personal data.
References:
* ISACA Privacy Notice & Usage Disclosures, section 2.1: "We collect Personal Information from you when you provide it to us directly or through a third party who has assured us that they have obtained your consent."
* Chapter Privacy Policy - Singapore Chapter - ISACA, section 2: "We will collect your personal data in accordance with the PDPA either directly from you or your authorized representatives, and/or through our third party service providers."
* Data Minimization-A Practical Approach - ISACA, section 2: "Enterprises may only collect as much data as are necessary for the purposes defined at the time of collection, which may also be set out in a privacy notice (sometimes referred to as a privacy statement, a fair processing statement or a privacy policy)."
* Establishing Enterprise Roles for Data Protection - ISACA, section 3: "Data governance is typically implemented in organizations through policies, guidelines, tools and access controls."
NEW QUESTION # 68
Which of the following is a foundational goal of data privacy laws?
- A. Privacy laws are designed to prevent the collection of personal data
- B. Privacy laws are designed to protect companies' collection of personal data
- C. Privacy laws are designed to give people rights over the collection of personal data
- D. Privacy laws are designed to provide transparency for the collection of personal data
Answer: C
Explanation:
Explanation
One of the foundational goals of data privacy laws is to give people rights over the collection of personal data, such as the right to access, correct, delete, or object to the processing of their data. Privacy laws also aim to protect people's dignity, autonomy, and self-determination in relation to their personal data. The other options are not accurate or complete descriptions of the purpose of data privacy laws.
References:
* CDPSE Review Manual, Chapter 1 - Privacy Governance, Section 1.1 - Privacy Principles1.
* CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 1 - Privacy Governance, Section 1.2 - Data Privacy Laws and Regulations2.
NEW QUESTION # 69
Which of the following is the MOST important consideration to ensure privacy when using big data analytics?
- A. Disclosure of how the data is analyzed
- B. Continuity with business requirements
- C. Transparency about the data being collected
- D. Maintenance of archived data
Answer: C
NEW QUESTION # 70
Which of the following is the PRIMARY reason that a single cryptographic key should be used for only one purpose, such as encryption or authentication?
- A. It is more practical and efficient to use a single cryptographic key.
- B. It minimizes the risk if the cryptographic key is compromised.
- C. Each process can only be supported by its own unique key management process.
- D. It eliminates cryptographic key collision.
Answer: B
Explanation:
Explanation
The primary reason that a single cryptographic key should be used for only one purpose, such as encryption or authentication, is that it minimizes the risk if the cryptographic key is compromised. A cryptographic key is a piece of information that is used to perform cryptographic operations, such as encryption or authentication.
Encryption is a process of transforming data into an unreadable form using a secret key or algorithm.
Authentication is a process of verifying the identity or integrity of a user or data using a secret key or algorithm. If a single cryptographic key is used for multiple purposes, such as encryption and authentication, it increases the risk if the cryptographic key is compromised. For example, if an attacker obtains the cryptographic key that is used for both encryption and authentication, they can decrypt and access personal data, as well as impersonate or modify legitimate users or data. Therefore, a single cryptographic key should be used for only one purpose, and different keys should be used for different purposes. References: : CDPSE Review Manual (Digital Version), page 107
NEW QUESTION # 71
Which of the following is the GREATEST obstacle to conducting a privacy impact assessment (PIA)?
- A. The organization lacks knowledge of PIA methodology.
- B. Conducting a PIA requires significant funding and resources.
- C. PIAs need to be performed many times in a year.
- D. The value proposition of a PIA is not understood by management.
Answer: A
NEW QUESTION # 72
What type of personal information can be collected by a mobile application without consent?
- A. Geolocation
- B. Full name
- C. Phone number
- D. Accelerometer data
Answer: D
NEW QUESTION # 73
Which of the following helps define data retention time in a stream-fed data lake that includes personal data?
- A. Data privacy standards
- B. Data lake configuration
- C. Privacy impact assessments (PIAs)
- D. Information security assessments
Answer: A
Explanation:
Explanation
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 data. 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.
References: CDPSE Review Manual, 2021, p. 80
NEW QUESTION # 74
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. Obtain independent assurance of current practices.
- B. Review the privacy policy.
- C. Validate contract compliance.
- D. Re-assess the information security requirements.
Answer: D
NEW QUESTION # 75
Which of the following BEST represents privacy threat modeling methodology?
- A. Systematically eliciting and mitigating privacy threats in a software architecture
- B. Mitigating inherent risks and threats associated with privacy control weaknesses
- C. Reliably estimating a threat actor's ability to exploit privacy vulnerabilities
- D. Replicating privacy scenarios that reflect representative software usage
Answer: A
Explanation:
Explanation
Privacy threat modeling is a methodology for identifying and mitigating privacy threats in a software architecture. It helps to ensure that privacy is considered in the design and development of software systems, and that privacy risks are minimized or eliminated. Privacy threat modeling typically involves the following steps: defining the scope and context of the system, identifying the data flows and data elements, identifying the privacy threats and their sources, assessing the impact and likelihood of the threats, and applying appropriate countermeasures to mitigate the threats. References: : CDPSE Review Manual (Digital Version), page 97
NEW QUESTION # 76
Which of the following is the BEST approach to minimize privacy risk when collecting personal data?
- A. Use a third party to collect, store, and process the data.
- B. Collect only the data necessary to meet objectives.
- C. Collect data through a secure organizational web server.
- D. Aggregate the data immediately upon collection.
Answer: B
Explanation:
Explanation
Collecting only the data necessary to meet objectives is the best approach to minimize privacy risk when collecting personal data. This is based on the principle of data minimization, which states that personal data should be adequate, relevant, and limited to what is necessary in relation to the purposes for which they are processed. Using a third party, collecting data through a secure web server, or aggregating data immediately may reduce some privacy risks, but they do not eliminate the possibility of collecting excessive or unnecessary data. References: CDPSE Exam Content Outline, Domain 3, Task 3.2
NEW QUESTION # 77
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