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NEW QUESTION # 44
An internet-based organization whose address is not known has attempted to acquire personal identification details such as usernames and passwords by creating a fake website. This is an example of?
Answer: C
Explanation:
Creating a fake website to trick individuals into entering usernames and passwords is a classic example of phishing. Phishing is a social engineering technique where an attacker impersonates a trusted entity to deceive a victim into disclosing sensitive information (credentials, personal data, payment details) or taking an action that benefits the attacker (downloading malware, approving an MFA prompt, wiring funds). A counterfeit login page is commonly used in credential-harvesting campaigns: the victim believes they are authenticating to a legitimate service, but the credentials are captured by the attacker and later used for account takeover. This is not necessarily a breach yet because the question describes an attempt to acquire credentials; a breach would be confirmed unauthorized access or disclosure. While phishing is a kind of threat, "threat" is too broad compared to the specific described behavior. It is also not ransomware, which focuses on encrypting or locking data and demanding payment. Cybersecurity documentation emphasizes layered defenses against phishing: user awareness training, email and web filtering, domain and certificate validation, anti-spoofing controls, strong authentication (especially MFA resistant to prompt fatigue), password managers that reduce credential entry on lookalike domains, and monitoring for suspicious logins. Because the attack relies on deception through a fake website to steal credentials, the best match is phishing.
NEW QUESTION # 45
Cybersecurity regulations typically require that enterprises demonstrate that they can protect:
Answer: A
Explanation:
Cybersecurity regulations most commonly focus on the protection of personal data, because misuse or exposure can directly harm individuals through identity theft, fraud, discrimination, or loss of privacy. Privacy and data-protection laws typically require organizations to implement appropriate safeguards to protect personal information across its lifecycle, including collection, storage, processing, sharing, and disposal. In cybersecurity governance documentation, this obligation is often expressed through requirements to maintain confidentiality and integrity of personal data, limit access based on business need, and ensure accountability through logging, monitoring, and audits.
Demonstrating protection of personal data generally includes having a documented data classification scheme, clearly defined lawful purposes for processing, retention limits, and secure handling procedures. Technical controls commonly expected include strong authentication, least privilege and role-based access control, encryption for data at rest and in transit, secure key management, endpoint and server hardening, vulnerability management, and continuous monitoring for suspicious activity. Operational capabilities such as incident response, breach detection, and timely notification processes are also emphasized because regulators expect organizations to manage and report material data exposures appropriately.
While protecting applications, intellectual property, and ensuring continuity are important security objectives, they are not the primary focus of many cybersecurity regulations in the same consistent way as personal data protection. Therefore, the best answer is personal data of customers and employees.
NEW QUESTION # 46
Which statement is true about a data warehouse?
Answer: B
Explanation:
A data warehouse is designed primarily to support analytics, reporting, and decision-making rather than day-to-day transaction processing. Operational systems are optimized for fast inserts/updates and real-time business operations such as order entry, billing, or customer service workflows. In contrast, a warehouse consolidates data-often from multiple sources-into structures optimized for querying, trending, and historical analysis. From a cybersecurity and governance perspective, this distinction matters because warehouses frequently contain large volumes of aggregated, historical, and sometimes sensitive information, which can increase impact if confidentiality is breached. As a result, controls like strong access governance, role-based access, least privilege, segregation of duties, encryption, and audit logging are emphasized for warehouses to reduce insider misuse and limit exposure.
Option B is false because warehouses often use different structures (for example, dimensional models) than production systems, specifically to improve analytical performance and usability. Option C can be true in some architectures, but it is not universally required; organizations may operate multiple warehouses, data marts, or lakehouse patterns, and not all operational data is appropriate to centralize due to privacy, cost, and regulatory constraints. Option D is incorrect because cleansing is commonly performed in dedicated integration pipelines and staging layers rather than changing operational systems to "pre-clean" data. Therefore, A is the best verified statement.
NEW QUESTION # 47
Which of the following challenges to embedded system security can be addressed through ongoing, remote maintenance?
Answer: D
Explanation:
Ongoing, remote maintenance is one of the most effective ways to improve the security posture of embedded systems over time because it enables timely remediation of newly discovered weaknesses. Embedded devices frequently run firmware that includes operating logic, network stacks, and third-party libraries. As vulnerabilities are discovered in these components, organizations must be able to deploy fixes quickly to reduce exposure. Remote maintenance supports this by enabling over-the-air firmware and software updates, configuration changes, certificate and key rotation, and the rollout of compensating controls such as updated security policies or hardened settings.
Option B is correct because remote maintenance directly addresses the challenge of deploying updated firmware as issues are identified. Cybersecurity guidance for embedded and IoT environments emphasizes secure update mechanisms: authenticated update packages, integrity verification (such as digital signatures), secure distribution channels, rollback protection, staged deployment, and audit logging of update actions. These practices reduce the risk of attackers installing malicious firmware and help ensure devices remain supported throughout their operational life.
The other options are not primarily solved by remote maintenance. Limited CPU and memory are inherent design constraints that may require hardware redesign. Battery and component limitations are also physical constraints. Physical security attacks exploit device access and hardware weaknesses, which require tamper resistance, secure boot, and physical protections rather than remote maintenance alone.
NEW QUESTION # 48
If a threat is expected to have a serious adverse effect, according to NIST SP 800-30 it would be rated with a severity level of:
Answer: B
Explanation:
NIST SP 800-30 Rev. 1 defines qualitative risk severity levels using consistent impact language. In its assessment scale, "Moderate" is explicitly tied to events that can be expected to have a serious adverse effect on organizational operations, organizational assets, individuals, other organizations, or the Nation.
A "serious adverse effect" is described as outcomes such as a significant degradation in mission capability where the organization can still perform its primary functions but with significantly reduced effectiveness, significant damage to organizational assets, significant financial loss, or significant harm to individuals that does not involve loss of life or life-threatening injuries. This phrasing is used to distinguish "Moderate" from "Low" (limited adverse effect) and from "High" (severe or catastrophic adverse effect).
This classification matters in enterprise risk because it drives prioritization and control selection. A "Moderate" rating typically triggers stronger treatment actions than "Low," such as tighter access controls, enhanced monitoring, more frequent vulnerability remediation, stronger configuration management, and improved incident response readiness. It also helps leaders compare risks consistently across systems and business processes by anchoring severity to clear operational and harm-based criteria rather than subjective judgment.
NEW QUESTION # 49
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