CompTIA Updated CS0-002 Exam Questions and Answers by bobbie

Automated security controls testing is a method that uses tools or scripts to verify that the security controls of a system or device are configured correctly and comply with the organization’s policies and standards. Performing automated security controls testing of expected configurations prior to production would help prevent a recurrence of the risk exposure caused by missing antivirus, unnecessary ports enabled, and insufficient password complexity. Performing password-cracking attempts, Nmap scans, or antivirus scans on all devices before they are released to production are other methods that can help detect some security issues, but they are not as comprehensive or efficient as automated security controls testing. Reference: https://www.nist.gov/system/files/documents/2017/04/28/sp800-115.pdf

A data minimization plan is a strategy that aims to reduce the amount and type of data that an organization collects, stores, and processes. It can help improve data privacy and protection by limiting the exposure and impact of a data breach or loss. Creating a data minimization plan is the best recommendation for a security officer who needs to find the most cost-effective solution to the current data privacy and protection gap. Requiring users to sign NDAs, adding access control requirements, or implementing a data loss prevention solution are other possible solutions, but they are not as cost-effective as creating a data minimization plan. Reference: https://www.csoonline.com/article/3603898/data-minimization-what-is-it-and-how-to-implement-it.html

The correct answer is D. Both policies have some overlap, but the differences can have regulatory consequences. Privacy and security policies are both important for companies to protect their data and comply with various laws and regulations. However, privacy and security policies are not the same, and they have different goals and requirements.

Privacy policies are nontechnical controls that define how a company collects, uses, shares, and protects personal information from its customers, employees, or partners. Privacy policies are based on the principles of data minimization, consent, transparency, and accountability. Privacy policies aim to respect the rights and preferences of data subjects and comply with different privacy regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA)1.

Security policies are technical or nontechnical controls that define how a company protects its data and systems from unauthorized access, modification, or destruction. Security policies are based on the principles of confidentiality, integrity, and availability. Security policies aim to prevent or mitigate the impact of cyberattacks and comply with different security standards, such as the Payment Card Industry Data Security Standard (PCI DSS) or the ISO/IEC 27000 series2.

Privacy and security policies have some overlap, as they both involve data protection and compliance. However, they also have some differences, as they address different aspects and risks of data processing. For example, a company may have a strong security policy that encrypts its data, but it may still violate a privacy policy if it collects or shares more data than necessary or without consent. Conversely, a company may have a clear privacy policy that informs its customers about its data practices, but it may still suffer a security breach if it does not implement adequate security measures3.

The single loss expectancy (SLE) is a measure of the monetary loss associated with a single occurrence of a risk. The SLE can be calculated by multiplying the asset value (AV) by the exposure factor (EF), which is the percentage of loss that the asset would suffer if the risk occurred. In this case, the asset value is the revenue generated by the service, which is $1,000. The exposure factor is the impact of the attack on the server’s capacity, which is 20%. Therefore, the SLE is $1,000 x 0.2 = $2001.