The ISACA CDPSE Exam is challenging and thorough preparation is essential for success. This exam study guide is designed to help you prepare for the CDPSE certification exam. It contains a detailed list of the topics covered on the Professional exam, as well as a detailed list of preparation resources. This study guide for the ISACA Data Privacy Solutions Engineer will help guide you through the study process for your certification.
CDPSE ISACA Data Privacy Solutions Engineer Exam Summary
● Exam Name: ISACA Data Privacy Solutions Engineer
● Exam Code: CDPSE
● Exam Price: $575 (USD)
● Duration: 210 mins
● Number of Questions: 120
● Passing Score: 450 / 800
● Reference Books:
● Schedule Exam: Pearson VUE
● Sample Questions: ISACA CDPSE Sample Questions
● Recommended Practice: ISACA CDPSE Certification Practice Exam
Exam Syllabus: CDPSE ISACA Certified Data Privacy Solutions Engineer (CDPSE)
Privacy Governance (Governance, Management and Risk Management) - 34%
- Identify the internal and external privacy requirements specific to the organization's governance and risk management programs and practices.
- Participate in the evaluation of privacy policies, programs, and policies for their alignment with legal requirements, regulatory requirements, and/or industry best practices.
- Coordinate and/or perform privacy impact assessments (PIA) and other privacy-focused assessments.
- Participate in the development of procedures that align with privacy policies and business needs.
- Implement procedures that align with privacy policies.
- Participate in the management and evaluation of contracts, service levels, and practices of vendors and other external parties.
- Participate in the privacy incident management process.
- Collaborate with cybersecurity personnel on the security risk assessment process to address privacy compliance and risk mitigation.
- Collaborate with other practitioners to ensure that privacy programs and practices are followed during the design, development, and implementation of systems, applications, and infrastructure.
- Develop and/or implement a prioritization process for privacy practices.
- Develop, monitor, and/or report performance metrics and trends related to privacy practices.
- Report on the status and outcomes of privacy programs and practices to relevant stakeholders.
- Participate in privacy training and promote awareness of privacy practices.
- Identify issues requiring remediation and opportunities for process improvement.
Privacy Architecture (Infrastructure, Applications/Software and Technical Privacy Controls) - 36%
- Coordinate and/or perform privacy impact assessment (PIA) and other privacy-focused assessments to identify appropriate tracking technologies, and technical privacy controls.
- Participate in the development of privacy control procedures that align with privacy policies and business needs.
- Implement procedures related to privacy architecture that align with privacy policies.
- Collaborate with cybersecurity personnel on the security risk assessment process to address privacy compliance and risk mitigation
- Collaborate with other practitioners to ensure that privacy programs and practices are followed during the design, development, and implementation of systems, applications, and infrastructure.
- Evaluate the enterprise architecture and information architecture to ensure it supports privacy by design principles and considerations.
- Evaluate advancements in privacy-enhancing technologies and changes in the regulatory landscape.
- Identify, validate, and/or implement appropriate privacy and security controls according to data classification procedures.
Data Lifecycle (Data Purpose and Data Persistence) - 30%
- Identify the internal and external privacy requirements relating to the organization's data lifecycle practices.
- Coordinate and/or perform privacy impact assessments (PIA) and other privacy-focused assessments relating to the organization’s data lifecycle practices.
- Participate in the development of data lifecycle procedures that align with privacy policies and business needs.
- Implement procedures related to data lifecycle that align with privacy policies.
- Collaborate with other practitioners to ensure that privacy programs and practices are followed during the design, development, and implementation of systems, applications, and infrastructure.
- Evaluate the enterprise architecture and information architecture to ensure it supports privacy by design principles and data lifecycle considerations.
- Identify, validate, and/or implement appropriate privacy and security controls according to data classification procedures.
- Design, implement, and/or monitor processes and procedures to keep the inventory and dataflow records current.
ISACA CDPSE Certification Sample Questions and Answers
To make you familiar with ISACA Data Privacy Solutions Engineer (CDPSE) certification exam structure, we have prepared this sample question set. We suggest you to try our Sample Questions for Data Privacy Solutions Engineer CDPSE Certification to test your understanding of ISACA CDPSE process with real ISACA certification exam environment.
CDPSE ISACA Data Privacy Solutions Engineer Sample Questions:-
01. What would be the BEST reason to include log generation in the design of a system from a privacy perspective?
a) Allow to save the evidence of all operations carried out with the system.
b) Facilitate early detection of abuse or misuse of the data that a system processes.
c) Facilitate the recovery of information in case of system damage.
d) Investigate fraud after it has occurred.
02. An attacker was able to retrieve data from a test and development environment that contained end user information. Which of the following hardening techniques would BEST prevent this attack from turning into a major privacy breach?
a) Data obfuscation
b) Data classification
c) Data dictionary
d) Data normalization
03. Who is accountable for establishing the privacy risk and harm tolerance levels?
a) Chief privacy officer
b) Enterprise risk management committee
c) Privacy steering committee
d) Chief risk officer
04. How should the chief privacy officer of an international enterprise BEST balance the requirements of the enterprise’s privacy standards with local regulations?
a) Prioritize organizational standards over local regulations.
b) Conduct awareness training regarding conflicts between the standards and local regulations.
c) Prioritize local regulations over organizational standards.
d) Create a local version of the organizational standards.
05. What is one of the GREATEST concerns for the privacy professional when using data analytics in an enterprise?
a) Ensure that all questions asked by the business can be answered.
b) Ensure the protection of customer information that is collected.
c) Ensure that the data mart contains the client's historical information.
d) Ensure that tools are available to make inquiries to the data warehouse.
06. What requirements would be BEST to include in a service level agreement when data is regularly moved outside of the enterprise as part of its life cycle?
a) Data persistence requirements
b) Data modeling requirements
c) Data minimization requirements
d) Quality and privacy requirements
07. Which of the following is considered a best practice with regard to event logging?
a) Retain all event logs on the systems that create them.
b) Transmit all event logs to a central log server.
c) Suppress the creation of event logs on all systems.
d) Encrypt all event logs on the systems that create them.
08. Which of the following statements is true about compliance risk?
a) Compliance risk can be tolerated when fines cost less than controls.
b) Compliance risk is just another risk that needs to be measured.
c) Compliance risk can never be tolerated.
d) Compliance risk can be tolerated when it is optional.
09. Which of the following would be classified as the first line of defense from the information security and privacy perspective?
a) Control of changes to applications.
b) Validation of data when entering an application.
c) Identification and authentication of users.
d) Making back-up copies.
10. Which of the following BEST describes transformation rules used in data warehousing? Transformation rules are:
a) Complex for the staging layer but minimal for the presentation layer.
b) Minimal for the staging layer but more complex for the presentation layer.
c) Minimal for both the staging layer and presentation layer.
d) Complex for both the staging layer and presentation layer.
Answers:-
Answer 1 :- b
Answer 2 :- a
Answer 3 :- b
Answer 4 :- d
Answer 5 :- b
Answer 6 :- d
Answer 7 :- b
Answer 8 :- b
Answer 9 :- c
Answer 10 :- b