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While making revisions and modifications to the ISACA CDPSE practice exam, our team takes reports from over 90,000 professionals worldwide to make the Certified Data Privacy Solutions Engineer exam questions foolproof. To make you capable of preparing for the ISACA CDPSE Exam smoothly, we provide actual ISACA CDPSE exam dumps.

The CDPSE Certification is ideal for professionals who work in data privacy and security, including privacy officers, data protection officers, security analysts, risk managers, and compliance officers. It is also suitable for individuals who are responsible for designing and implementing data privacy solutions in their organizations. By earning this certification, professionals can enhance their skills and knowledge in the field of data privacy, and demonstrate their commitment to maintaining the highest standards of privacy and security in their organizations.

ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q38-Q43):

NEW QUESTION # 38
A staffing agency collects a broad scope of data on candidates (including education, credit, and medical history). This may violate which of the following data privacy principles?

A. Data localization
B. Data transparency
C. Data quality
D. Data minimization

Answer: D

Explanation:
Collecting more data than necessary for recruitment violates the principle of data minimization, which requires limiting collection to what is adequate, relevant, and necessary. Transparency (A) deals with notice, localization (B) concerns storage jurisdiction, and quality (D) addresses accuracy.
"Data minimization: collect and process only the data that is necessary for the stated purpose."

NEW QUESTION # 39
Which of the following scenarios should trigger the completion of a privacy impact assessment (PIA)?

A. New data retention and backup policies
B. Updates to the enterprise data policy
C. New inter-organizational data flows
D. Updates to data quality standards

Answer: C

Explanation:
A privacy impact assessment (PIA) is a process of analyzing the potential privacy risks and impacts of collecting, using, and disclosing personal dat a. A PIA should be conducted when there is a change in the data processing activities that may affect the privacy of individuals or the compliance with data protection laws and regulations. One of the scenarios that should trigger the completion of a PIA is when there are new inter-organizational data flows, which means that personal data is shared or transferred between different entities or jurisdictions. This may introduce new privacy risks, such as unauthorized access, misuse, or breach of data, as well as new legal obligations, such as obtaining consent, ensuring adequate safeguards, or notifying authorities.
Reference:
PIA Triggers - International Association of Privacy Professionals
Privacy Impact Assessment - International Association of Privacy Professionals GDPR Privacy Impact Assessment Data Protection Impact Assessment triggers: Clarity or confusion?

NEW QUESTION # 40
When is the BEST time during the secure development life cycle to perform privacy threat modeling?

A. When identifying business requirements
B. Early in the design phase
C. During functional verification testing
D. Prior to the production release

Answer: B

Explanation:
The best time during the secure development life cycle to perform privacy threat modeling is early in the design phase, because this will help identify and mitigate the potential privacy risks and vulnerabilities of the system or application before they become costly or difficult to fix. Privacy threat modeling is a systematic process of analyzing the data flows, assets, actors, and scenarios of a system or application to identify and prioritize the privacy threats and countermeasures12. Performing privacy threat modeling early in the design phase will also help ensure that privacy is built into the system or application from the start, rather than as an afterthought.
Reference:
CDPSE Exam Content Outline, Domain 2 - Privacy Architecture (Privacy Architecture Implementation), Task 2: Implement privacy solutions3.
CDPSE Review Manual, Chapter 2 - Privacy Architecture, Section 2.3 - Privacy Architecture Implementation4.

NEW QUESTION # 41
Which type of data is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people?

A. Observed data
B. Derived data
C. Inferred data
D. Provided data

Answer: C

Explanation:
Inferred data is the type of data that is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people. Inferred data is not directly observed or collected from the data subjects, but rather derived from other sources of data, such as behavioral, transactional, or demographic data. Inferred data can be used to make assumptions or predictions about the data subjects' preferences, interests, behaviors, or characteristics12.
Reference:
CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.1 - Data Classification3.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3 - Data Lifecycle, Section 3.2 - Data Classification4.

NEW QUESTION # 42
Which of the following is the BEST way for an organization to limit potential data exposure when implementing a new application?

A. Capture the application's authentication logs.
B. Use only the data required by the application.
C. Implement a data loss prevention (DLP) system.
D. Encrypt all data used by the application.

Answer: C

NEW QUESTION # 43
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