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  3. CDPSE Exam
  4. ISACA.CDPSE.v2024-06-06.q116 Dumps
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Question 51

Which of the following is the BEST way to ensure that application hardening is included throughout the software development life cycle (SDLC)?

Correct Answer: B
Explanation
The best way to ensure that application hardening is included throughout the software development life cycle (SDLC) is to include qualified application security personnel as part of the process. Application hardening is the process of applying security measures and techniques to an application to reduce its attack surface, vulnerabilities, and risks. Application hardening should be integrated into every stage of the SDLC, from planning and design to development and testing to deployment and maintenance. Including qualified application security personnel as part of the process helps to ensure that application hardening is performed effectively and consistently, as well as to provide guidance, feedback, and support to the developers, testers, and project managers. The other options are not as effective or sufficient as including qualified application security personnel as part of the process, as they do not address the root cause of the lack of application hardening, which is the gap in skills and knowledge among the SDLC participants.
References: CDPSE Review Manual, 2021, p. 131
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Question 52

Which of the following is the PRIMARY benefit of implementing policies and procedures for system hardening?

Correct Answer: A
Explanation
System hardening is a process of applying security measures and configurations to a system to reduce its attack surface and enhance its resistance to threats. System hardening can include disabling unnecessary services, removing default accounts, applying patches and updates, enforcing strong passwords and encryption, and implementing firewalls and antivirus software. The primary benefit of system hardening is that it increases system resiliency, which is the ability of a system to withstand or recover from adverse events that could affect its functionality or performance. The other options are not the primary benefits of system hardening, although they may be secondary benefits or outcomes. System hardening does not necessarily reduce external threats to data, as threats can originate from various sources and vectors. System hardening may reduce exposure of data, but only if the data is stored or processed by the system. System hardening does not eliminate attack motivation for data, as attackers may have different motives and incentives for targeting data. , p. 91-92 References: : CDPSE Review Manual (Digital Version)
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Question 53

Which of the following protocols BEST protects end-to-end communication of personal data?

Correct Answer: A
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Question 54

Which of the following BEST ensures data confidentiality across databases?

Correct Answer: D
Explanation
The best way to ensure data confidentiality across databases is to use data anonymization, which is a process of removing or modifying personal or sensitive data from a dataset so that it cannot be linked or attributed to a specific individual or entity. Data anonymization helps protect the privacy and security of the data subjects, as well as comply with the applicable data protection laws and regulations. Data anonymization can be achieved by using various techniques, such as masking, encryption, aggregation, generalization, perturbation, or synthetic data generation12.
References:
* CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.3 - Data Anonymization3.
* CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3 - Data Lifecycle, Section 3.4 - Data Anonymization4.
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Question 55

An organization must de-identify its data before it is transferred to a third party Which of the following should be done FIRST?

Correct Answer: C
Explanation
Before de-identifying data, it is important to determine the categories of personal data collected, such as names, addresses, phone numbers, email addresses, social security numbers, health information, and so on.
This will help to identify which data elements are considered identifiers or quasi-identifiers, and which de-identification techniques are appropriate for each category. For example, some data elements may need to be removed completely, while others may be masked, generalized, or perturbed.
References:
* Anonymize and De-identify | Research Data Management
* Data De-identification: An Overview of Basic Terms - ed
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