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Test ISACA CDPSE Sample Questions | CDPSE Latest Exam Online

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ISACA CDPSE exam is a valuable certification for professionals who work in the field of data privacy and protection. It provides a comprehensive understanding of data privacy governance, operations, implementation, and assurance, and demonstrates a candidate's ability to effectively protect sensitive data. Earning this certification can help professionals advance their careers and demonstrate their commitment to data privacy and protection.

ISACA CDPSE (Certified Data Privacy Solutions Engineer) Exam is a certification offered by the Information Systems Audit and Control Association (ISACA) for professionals who specialize in data privacy solutions engineering. Certified Data Privacy Solutions Engineer certification is designed to validate the knowledge, skills, and experience of individuals who design, implement, and manage data privacy solutions for organizations. The CDPSE Certification program covers a wide range of topics, including data privacy laws and regulations, data privacy program management, and data security technologies and controls.

ISACA CDPSE (Certified Data Privacy Solutions Engineer) is a globally recognized certification that validates an individual's knowledge and expertise in managing, designing, and implementing data privacy solutions. Certified Data Privacy Solutions Engineer certification is designed to help professionals develop their skill set in data privacy, governance, and risk management. Certified Data Privacy Solutions Engineer certification is ideal for IT professionals, privacy officers, data protection professionals, and auditors who want to specialize in data privacy solutions.

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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q16-Q21):

NEW QUESTION # 16
When choosing data sources to be used within a big data architecture, which of the following data attributes MUST be considered to ensure data is not aggregated?

A. Consistency
B. Granularity
C. Accuracy
D. Reliability

Answer: B

NEW QUESTION # 17
Which of the following processes BEST enables an organization to maintain the quality of personal data?

A. Implementing routine automatic validation
B. Updating the data quality standard through periodic review
C. Encrypting personal data at rest
D. Maintaining hashes to detect changes in data

Answer: A

Explanation:
Explanation
The best way to maintain the quality of personal data is to implement routine automatic validation, which is a process of checking the accuracy, completeness, consistency, and timeliness of the data using automated tools or scripts. Routine automatic validation can help identify and correct any errors, anomalies, or discrepancies in the data, as well as ensure that the data meets the specified quality standards and requirements. Routine automatic validation can also help improve the efficiency and reliability of the data processing and analysis12.
References:
* CDPSE Exam Content Outline, Domain 3 - Data Lifecycle (Data Quality), Task 2: Implement data quality measures3.
* CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.2 - Data Quality4.

NEW QUESTION # 18
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. De-identify all personal data in the database.
B. Determine what data is required by the application.
C. Renew the encryption key to include the application.
D. Ensure the data loss prevention (DLP) tool is logging activity.

Answer: B

NEW QUESTION # 19
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 # 20
A multinational corporation is planning a big data initiative to help with critical business decisions. Which of the following is the BEST way to ensure personal data usage is standardized across the entire organization?

A. Perform data discovery.
B. Encrypt all sensitive data.
C. Develop a data dictionary.
D. De-identify all data.

Answer: C

Explanation:
A data dictionary is a document that defines and describes the data elements, attributes, formats, sources, destinations, purposes and relationships of a data set or system. A data dictionary would be the best way to ensure personal data usage is standardized across the entire organization, as it would provide a common and consistent understanding and reference for how personal data is collected, used, disclosed and transferred within and outside the organization. A data dictionary would also help to ensure compliance with privacy principles, such as accuracy, transparency and accountability. The other options are not as effective as developing a data dictionary in ensuring personal data usage is standardized across the entire organization. De-identify all data is a technique that removes or modifies direct and indirect identifiers in a data set to prevent or limit the identification of the data subjects, but it does not ensure standardization or consistency of personal data usage across the organization. Encrypt all sensitive data is a technique that transforms plain text data into cipher text using an algorithm and a key, making it unreadable by unauthorized parties, but it does not ensure standardization or consistency of personal data usage across the organization. Perform data discovery is a process of identifying and locating personal data within an organization's systems, databases, applications or files, but it does not ensure standardization or consistency of personal data usage across the organization1, p. 69-70 References: 1: CDPSE Review Manual (Digital Version)

NEW QUESTION # 21
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