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The CDPSE certification exam is a rigorous and comprehensive exam that validates the skills and knowledge of professionals in the field of data privacy. Achieving this certification demonstrates a professional's understanding of global privacy regulations and their ability to develop and implement effective solutions. With the increasing demand for professionals in this field, the CDPSE Certification is an excellent way for professionals to differentiate themselves and advance their careers.
ISACA CDPSE Real Questions | High CDPSE Passing ScoreOur CDPSE exam questions are perfect, unique and the simplest for all exam candidates for varying academic backgrounds. This is the reason that our CDPSE study guide assures you of a guaranteed success in the exam. The second you download our CDPSE learning braindumps, then you will find that they are easy to be understood and enjoyable to practice with them. And there are three versions of the CDPSE praparation engine for you to choose: the PDF, Software and APP online. ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q118-Q123):NEW QUESTION # 118
When tokenizing credit card data, what security practice should be employed with the original data before it is stored in a data lake?
A. Classification
B. Backup
C. Encoding
D. Encryption
Answer: D
Explanation:
Reference:
Encryption is a security practice that transforms data into an unreadable format using a secret key or algorithm. Encryption protects the confidentiality and integrity of data, especially when they are stored in a data lake or other cloud-based storage systems. Encryption ensures that only authorized parties can access and use the original data, while unauthorized parties cannot decipher or modify the data without the key or algorithm. Encryption also helps to comply with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), which require data controllers and processors to implement appropriate technical and organizational measures to safeguard personal data.
The other options are less effective or irrelevant for securing the original data before storing them in a data lake. Encoding is a process of converting data from one format to another, such as base64 or hexadecimal. Encoding does not protect the data from unauthorized access or use, as it can be easily reversed without a key or algorithm. Backup is a process of creating a copy of data for recovery purposes, such as in case of data loss or corruption. Backup does not protect the data from unauthorized access or use, as it may create additional copies of sensitive data that need to be secured. Classification is a process of assigning labels or categories to data based on their sensitivity, value or risk level, such as public, confidential or restricted. Classification helps to identify and manage the data according to their security requirements, but it does not protect the data from unauthorized access or use by itself.
Tokenization: Your Secret Weapon for Data Security? - ISACA, section 2: "Encryption is one of the most effective security controls available to enterprises, but it can be challenging to deploy and maintain across a complex enterprise landscape." Credit Card Tokenization: What It Is, How It Works - NerdWallet, section 2: "Encrypting personal data automatically before sending them through email, using encryption standards and algorithms that are compliant with data protection laws and regulations." Tokenized Credit Card Data: Everything You Need to Know - Koombea, section 3: "The sensitive card data itself is stored on a server with much higher security." What is Data Tokenization and Why is it Important? | Immuta, section 2: "Tokenization replaces the original sensitive data with randomly generated, nonsensitive substitute characters as placeholder data."
NEW QUESTION # 119
Which of the following BEST enables an organization to ensure privacy-related risk responses meet organizational objectives?
A. Assigning the data protection officer accountability for privacy protection controls
B. Prioritizing privacy-related risk scenarios as part of enterprise risk management ERM) processes
C. Integrating security and privacy control requirements into the development of risk scenarios
D. Using a top-down approach to develop privacy-related risk scenarios for the organization
Answer: B
Explanation:
Prioritizing privacy-related risk scenarios as part of ERM processes is the best way to ensure that the risk responses meet the organizational objectives, because it helps to align the privacy risk management with the overall strategic goals, values, and culture of the organization. ERM is a holistic approach to identify, assess, and manage risks across the organization, taking into account the interdependencies and trade-offs among different types of risks. By integrating privacy-related risk scenarios into the ERM processes, the organization can evaluate the potential impact and likelihood of privacy risks on its mission, vision, and performance, and prioritize the most significant ones for mitigation or acceptance. This can also help to allocate appropriate resources, assign clear roles and responsibilities, and monitor and report on the effectiveness of the risk responses.
Reference:
Privacy Risk Management, ISACA Journal
Enterprise Risk Assessment, Deloitte
NEW QUESTION # 120
Which of the following needs to be identified FIRST to define the privacy requirements to use when assessing the selection of IT systems?
A. Type of data being processed
B. Applicable privacy legislation
C. Applicable control frameworks
D. Available technology platforms
Answer: B
Explanation:
The applicable privacy legislation needs to be identified first to define the privacy requirements to use when assessing the selection of IT systems, because it sets the legal obligations and standards for the organization to comply with when processing personal data. The type of data, the control frameworks, and the technology platforms are all dependent on the privacy legislation that applies to the organization and its data processing activities. Therefore, the privacy legislation is the primary source of privacy requirements for IT systems.
Reference:
CDPSE Review Manual, 2023 Edition, Domain 2: Privacy Architecture, Section 2.1.2: Privacy Requirements, p. 75 Compliance with Cybersecurity and Privacy Laws and Regulations1
NEW QUESTION # 121
An organization is concerned with authorized individuals accessing sensitive personal customer information to use for unauthorized purposes. Which of the following technologies is the BEST choice to mitigate this risk?
A. Intrusion monitoring
B. Email filtering system
C. User behavior analytics
D. Mobile device management (MDM)
Answer: A
NEW QUESTION # 122
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. De-identify all data.
B. Encrypt all sensitive data.
C. Develop a data dictionary.
D. Perform data discovery.
Answer: C
Explanation:
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 # 123
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