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Pass Isaca Certification CDPSE Exam With 220 Questions
What are the objectives of taking the Isaca CDPSE Certification Exam?
The main objectives of taking the Isaca CDPSE Certification Exam discussed in the CDPSE Dumps are:
To build and implement a privacy solution. The materials that provide you with this CDPSE exam are updated regularly.
To assess the privacy of data stored on servers. Real and accurate information is required to pass the exam. Introduced the basics of the internet and the impact of information technology on society.
To mitigate the risk of cyberattacks. I recommend you update your understanding to be a safeguard for your business. The friends of a friend are a danger. The candidate who has passed the Isaca CDPSE Certification Exam will be able to reduce the risk of cyberattacks and data breaches.
To Pass The Isaca CDPSE On Your First Try, Here's What You Need To Know
Isaca CDPSE Certification Exam: a guide about Isaca certification and the process of getting it
Heard of the up-and-coming Isaca CDPSE certification exam? It's a big deal. Here's why
Isaca CDPSE Certification Exam is focused on validating the technical skills and knowledge it takes to assess, build and implement comprehensive privacy solutions. The 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. Verify wireless networks and networks security.
The exam is the first step to a successful career in Information Security. Here we are going to discuss Isaca CDPSE Certification Exam Preparation Material. Information about the cost, topics, objectives, number of questions, time duration, certification fee, eligibility, prerequisites, and syllabus is provided in the below sections. We suggest you go through them to make your preparation easy and better. If, You want to know more about the Isaca CDPSE Certification Exam preparation materials like CDPSE Dumps, then go through the below sections. Based on the above information, we hope you can pass the exam.
NEW QUESTION # 71
Which of the following BEST supports an organization's efforts to create and maintain desired privacy protection practices among employees?
- A. Performance evaluations
- B. Code of conduct principles
- C. Skills training programs
- D. Awareness campaigns
Answer: D
NEW QUESTION # 72
Which of the following MOST significantly impacts an organization's ability to respond to data subject access requests?
- A. Logging of systems and application data is limited.
- B. The organization's data retention schedule is complex.
- C. Availability of application data flow diagrams is limited.
- D. Third-party service level agreement (SLA) data is not always available.
Answer: C
Explanation:
Explanation
The availability of application data flow diagrams is the most significant factor that impacts an organization's ability to respond to data subject access requests. Data subject access requests are requests made by data subjects to exercise their rights under privacy laws or regulations, such as the right to access, rectify, erase, or port their personal data. To respond to these requests effectively and efficiently, the organization needs to have a clear and accurate understanding of how personal data is collected, processed, stored, shared, and disposed of within its applications and systems. Application data flow diagrams are graphical representations of the data lifecycle that show the sources, destinations, transformations, and dependencies of the data. Having these diagrams readily available helps the organization to locate, retrieve, modify, or delete the personal data in response to the data subject access requests. The other options are less significant or relevant than the availability of application data flow diagrams, as they do not directly affect the organization's ability to identify and access the personal data.
References: CDPSE Review Manual, 2021, p. 83
NEW QUESTION # 73
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. The organization's products are classified as intellectual property.
- B. Personal data could potentially be exfiltrated through the virtual workspace.
- C. There is a lack of privacy awareness and training among remote personnel.
- D. The third-party workspace is hosted in a highly regulated jurisdiction.
Answer: B
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 # 74
Which of the following is the GREATEST obstacle to conducting a privacy impact assessment (PIA)?
- A. PIAs need to be performed many times in a year.
- B. The organization lacks knowledge of PIA methodology.
- C. Conducting a PIA requires significant funding and resources.
- D. The value proposition of a PIA is not understood by management.
Answer: B
NEW QUESTION # 75
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. Updates to data life cycle policy
- D. Changes to current information architecture
Answer: C
NEW QUESTION # 76
Which of the following helps define data retention time is a stream-fed data lake that includes personal data?
- A. Information security assessments
- B. Data privacy standards
- C. Data lake configuration
- D. Privacy impact assessments (PIAs)
Answer: D
Explanation:
Explanation
A privacy impact assessment (PIA) is a systematic process of identifying and evaluating the potential privacy risks and impacts of a data processing activity or system. A PIA helps to ensure that privacy is considered and integrated into the design and development of data processing activities or systems, and that privacy risks are mitigated or eliminated. A PIA also helps to determine the appropriate retention periods for personal data based on the purpose and necessity of the data processing, as well as the legal and regulatory obligations that apply to the data. Therefore, a PIA helps to define data retention time in a stream-fed data lake that includes personal data. References: : CDPSE Review Manual (Digital Version), page 99
NEW QUESTION # 77
Which of the following protocols BEST protects end-to-end communication of personal data?
- A. Transport Layer Security Protocol (TLS)
- B. Hypertext Transfer Protocol (HTTP)
- C. Transmission Control Protocol (TCP)
- D. Secure File Transfer Protocol (SFTP)
Answer: A
NEW QUESTION # 78
Which authentication practice is being used when an organization requires a photo on a government-issued identification card to validate an in-person credit card purchase?
- A. Multi-factor authentication
- B. Biometric authentication
- C. Possession factor authentication
- D. Knowledge-based credential authentication
Answer: C
Explanation:
Explanation
Authentication is a process of verifying the identity of a user or device that requests access to a system or resource. Authentication can be based on one or more factors, such as something the user knows (e.g., password), something the user has (e.g., token), something the user is (e.g., fingerprint) or something the user does (e.g., signature). When an organization requires a photo on a government-issued identification card to validate an in-person credit card purchase, it is using possession factor authentication, which relies on something the user has as proof of identity. The other options are not applicable in this scenario1, p. 81 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 79
Who is ULTIMATELY accountable for the protection of personal data collected by an organization?
- A. Data processor
- B. Data protection officer
- C. Data custodian
- D. Data owner
Answer: D
Explanation:
Explanation
The data owner is the person or entity who has the ultimate authority and responsibility for the protection of personal data collected by an organization. The data owner defines the purpose, scope, classification, and retention of the personal data, as well as the rights and obligations of the data subjects and other parties involved in the data processing. The data owner also ensures that the personal data is handled in compliance with the applicable privacy laws and regulations, as well as the organization's privacy policies and standards.
The data owner may delegate some of the operational tasks to the data processor, data custodian, or data protection officer, but the accountability remains with the data owner.
References: CDPSE Review Manual, 2021, p. 81
NEW QUESTION # 80
Which of the following is the BEST way to ensure an organization's enterprise risk management (ERM) framework can protect the organization from privacy harms?
- A. Conduct an internal privacy audit.
- B. Include privacy risks as a risk category.
- C. Establish a privacy incident response plan.
- D. Complete a privacy risk assessment.
Answer: D
Explanation:
Explanation
The best way to ensure an organization's enterprise risk management (ERM) framework can protect the organization from privacy harms is to complete a privacy risk assessment. A privacy risk assessment is a systematic process of identifying, analyzing, evaluating, and treating the privacy risks that may affect the organization's objectives, operations, stakeholders, and reputation. A privacy risk assessment helps to align the ERM framework with the privacy requirements, expectations, and obligations of the organization, as well as to prioritize and mitigate the privacy risks that may cause privacy harms. Privacy harms are the adverse consequences or impacts that may result from the unauthorized or inappropriate use, disclosure, or loss of personal data, such as financial loss, identity theft, discrimination, reputational damage, emotional distress, or physical harm.
References: CDPSE Review Manual, 2021, p. 84
NEW QUESTION # 81
Which of the following is the BEST practice to protect data privacy when disposing removable backup media?
- A. Data scrambling
- B. Data encryption
- C. Data masking
- D. Data sanitization
Answer: D
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 # 82
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. Mandatory access control (MAC)
- B. Discretionary access control (DAC)
- C. Provision-based access control (PBAC)
- D. Attribute-based access control (ABAC)
Answer: D
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 # 83
Which of the following tracking technologies associated with unsolicited targeted advertisements presents the GREATEST privacy risk?
- A. Website cookies
- B. Radio frequency identification (RFID)
- C. Beacon-based tracking
- D. Online behavioral tracking
Answer: A
NEW QUESTION # 84
Transport Layer Security (TLS) provides data integrity through:
- A. calculation of message digests.
- B. use of File Transfer Protocol (FTP).
- C. asymmetric encryption of data sets.
- D. exchange of digital certificates.
Answer: A
Explanation:
Explanation
Transport Layer Security (TLS) is a protocol that provides secure communication over the internet by encrypting and authenticating data. TLS provides data integrity through the calculation of message digests, which are cryptographic hashes that summarize the content and structure of a message. The sender and the receiver of a message can compare the message digests to verify that the message has not been altered or corrupted during transmission. TLS also uses digital certificates, asymmetric encryption, and symmetric encryption to provide confidentiality and authentication, but these are not directly related to data integrity.
References: CDPSE Review Manual, 2021, p. 117
NEW QUESTION # 85
Which of the following should an IT privacy practitioner review FIRST to understand where personal data is coming from and how it is used within the organization?
- A. Data collection standards
- B. Data inventory
- C. Data process flow diagrams
- D. Data classification
Answer: B
Explanation:
Explanation
A data inventory is a comprehensive list of the data that an organization collects, processes, stores, transfers, and disposes of. It includes information such as the type, source, location, owner, purpose, and retention period of the data. A data inventory is essential for understanding where personal data is coming from and how it is used within the organization, as well as for complying with data privacy laws and regulations. A data inventory also helps to identify and mitigate data privacy risks and gaps.
References:
* ISACA, CDPSE Review Manual 2021, Chapter 2: Privacy Governance, Section 2.2: Data Inventory and Data Mapping, p. 40-41.
* ISACA, Data Privacy Audit/Assurance Program, Control Objective 3: Data Inventory and Classification, p. 7-81
NEW QUESTION # 86
Which of the following should an IT privacy practitioner do FIRST before an organization migrates personal data from an on-premise solution to a cloud-hosted solution?
- A. Ensure strong encryption is used.
- B. Perform a privacy impact assessment (PIA).
- C. Conduct a security risk assessment.
- D. Develop and communicate a data security plan.
Answer: C
NEW QUESTION # 87
When contracting with a Software as a Service (SaaS) provider, which of the following is the MOST important contractual requirement to ensure data privacy at service termination?
- A. Destruction of customer data
- B. Removal of customer data
- C. Encryption of customer data
- D. De-identification of customer data
Answer: B
Explanation:
Explanation
When contracting with a SaaS provider, it is important to ensure that the provider will remove all customer data from their systems and storage devices at the end of the service contract. This will prevent any unauthorized access, use, or disclosure of the customer data by the provider or third parties after the service termination. Removal of customer data means that the data are permanently erased and cannot be recovered or restored by any means.
References:
* ISACA, Data Privacy Audit/Assurance Program, Control Objective 9: Data Disposal, p. 16-171
* ISACA, CDPSE Review Manual 2021, Chapter 4: Privacy Incident Response, Section 4.2: Data Disposal and Destruction, p. 151-152.
NEW QUESTION # 88
Which of the following technologies BEST facilitates protection of personal data?
- A. Data log file monitoring tools
- B. Data loss prevention (DLP) tools
- C. Data profiling tools
- D. Data discovery and mapping tools
Answer: B
Explanation:
Explanation
Data loss prevention (DLP) tools are technologies that help to prevent unauthorized access, use, or transfer of personal data. DLP tools can monitor, detect, and block data leakage or exfiltration from various sources, such as endpoints, networks, cloud services, or email. DLP tools can also enforce data protection policies and compliance requirements, such as encryption, masking, or deletion of sensitive data. DLP tools can help to protect personal data from both internal and external threats, such as malicious insiders, hackers, or accidental exposure.
References:
* Data protection solutions rely on technologies such as data loss prevention (DLP), storage with built-in data protection, firewalls, encryption, and endpoint protection, Cloudian
* Top 10 Hot Data Security And Privacy Technologies, Forbes
NEW QUESTION # 89
Which of the following is the BEST way to manage different IT staff access permissions for personal data within an organization?
- A. Dedicated access system
- B. Network segmentation
- C. Mandatory access control
- D. Role-based access control
Answer: D
NEW QUESTION # 90
Which of the following assurance approaches is MOST effective in identifying vulnerabilities within an application programming interface (API) transferring personal data?
- A. Tabletop simulation
- B. Security audit
- C. Bug bounty program
- D. Source code review
Answer: C
Explanation:
Explanation
A bug bounty program is an assurance approach that involves offering rewards to external security researchers who find and report vulnerabilities in an API or other software. A bug bounty program can be more effective than other assurance approaches in identifying API vulnerabilities because it leverages the skills, creativity, and diversity of a large pool of ethical hackers who can test the API from different perspectives and scenarios.
A bug bounty program can also incentivize continuous testing and reporting of vulnerabilities, which can help improve the security posture of the API over time.
References:
* 10 top API security testing tools, CSO Online
* Bug Bounty Programs: What You Need to Know, ISACA Journal
NEW QUESTION # 91
Which of the following is the BEST indication of a highly effective privacy training program?
- A. No privacy incidents have been reported in the last year
- B. HR has made privacy training an annual mandate for the organization_
- C. Members of the workforce understand their roles in protecting data privacy
- D. Recent audits have no findings or recommendations related to data privacy
Answer: C
Explanation:
Explanation
The best indication of a highly effective privacy training program is that members of the workforce understand their roles in protecting data privacy, because this shows that the training program has successfully raised the awareness and knowledge of the workforce on the importance, principles and practices of data privacy, and how they can contribute to the organization's privacy objectives and compliance. According to ISACA, one of the key elements of a privacy training program is to define and communicate the roles and responsibilities of the workforce in relation to data privacy1. Members of the workforce who understand their roles in protecting data privacy are more likely to follow the privacy policies and procedures, report any privacy incidents or issues, and support the privacy culture of the organization2. Recent audits have no findings or recommendations related to data privacy, no privacy incidents have been reported in the last year, and HR has made privacy training an annual mandate for the organization are not as reliable as members of the workforce understand their roles in protecting data privacy, as they do not necessarily reflect the effectiveness of the privacy training program, but rather the performance of other factors such as audit processes, incident management systems, or HR policies.
NEW QUESTION # 92
When using anonymization techniques 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 data must be protected by multi-factor authentication.
- B. The key must be a combination of alpha and numeric characters.
- C. The key must be kept separate and distinct from the data it protects.
- D. The data must be stored in locations protected by data loss prevention (DLP) technology.
Answer: D
NEW QUESTION # 93
Which of the following tracking technologies associated with unsolicited targeted advertisements presents the GREATEST privacy risk?
- A. Online behavioral tracking
- B. Radio frequency identification (RFID)
- C. Website cookies
- D. Beacon-based tracking
Answer: A
Explanation:
Explanation
Online behavioral tracking is a tracking technology associated with unsolicited targeted advertisements that presents the greatest privacy risk. Online behavioral tracking is a technique that collects and analyzes personal data about users' online activities, preferences, interests, and behaviors across different websites or platforms.
Online behavioral tracking is used to create user profiles and deliver personalized or targeted advertisements that match users' needs or wants. Online behavioral tracking poses a privacy risk because it can invade users' privacy by collecting sensitive or intimate personal data without their knowledge or consent, such as health conditions, political views, sexual orientation, etc. Online behavioral tracking can also expose users to unwanted or inappropriate advertisements that may influence their decisions or actions. References: : CDPSE Review Manual (Digital Version), page 139
NEW QUESTION # 94
Which of the following is the PRIMARY objective of privacy incident response?
- A. To optimize the costs associated with privacy incidents
- B. To reduce privacy risk to the lowest possible level
- C. To ensure data subjects impacted by privacy incidents are notified.
- D. To mitigate the impact of privacy incidents
Answer: D
NEW QUESTION # 95
......
ISACA CDPSE certification demonstrates an individual's knowledge and skills in the field of data privacy solutions engineering. Certified Data Privacy Solutions Engineer certification is recognized globally and shows that an individual is committed to professional development and staying up-to-date with the latest trends and technologies in data privacy.
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