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NEW QUESTION # 60
The main phases of incident management are:
Answer: A
Explanation:
Incident management is a structured operational process used to ensure security issues are handled consistently, evidence is preserved, impact is reduced, and improvements are implemented to prevent recurrence. The phases listed in option B match how incident management is commonly documented in operational security programs.
Reporting is the entry point: users, monitoring tools, and service desks raise alerts or tickets, capturing what happened, when, and initial impact. Clear reporting channels and defined severity criteria ensure incidents are escalated quickly and handled by the right teams. Investigation follows, focusing on fact-finding and evidence collection such as logs, endpoint telemetry, network traces, and user statements. Assessment determines scope, business impact, affected assets and data, and the likelihood of continuing compromise. This step drives prioritization and selects the appropriate handling path.
Corrective actions implement containment, eradication, and recovery activities, such as isolating hosts, disabling compromised accounts, applying patches, rotating credentials, restoring from backups, and validating system integrity. Corrective actions also include communications, documentation, and coordination with legal, privacy, and business stakeholders when required. Finally, review is the lessons-learned phase that updates playbooks, improves detections, closes control gaps, and ensures root causes are addressed through durable fixes rather than temporary workarounds.
The other options do not represent standard incident management phases: A is a marketing model, while C and D are incomplete or mis-ordered compared to established incident management lifecycle documentation.
NEW QUESTION # 61
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: D
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 # 62
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 # 63
Violations of the EU's General Data Protection Regulations GDPR can result in:
Answer: B
Explanation:
The GDPR establishes a regulatory penalty framework intended to make privacy and data-protection obligations enforceable across organizations of any size. Under GDPR, the most severe administrative fines can reach up to €20 million or up to 4% of the organization's total worldwide annual turnover of the preceding financial year, whichever is higher. That "whichever is greater" clause is critical: it prevents large enterprises from treating privacy violations as a minor cost of doing business and ensures the sanction can scale with the organization's economic size and risk impact.
Cybersecurity governance and risk documents typically emphasize GDPR as a driver for enterprise risk management because the consequences extend beyond monetary fines. A confirmed violation often triggers regulatory investigations, mandatory corrective actions, and potential restrictions on processing activities. Organizations may also face indirect impacts such as breach notification costs, legal claims from affected individuals, reputational harm, loss of customer trust, and increased oversight by regulators and auditors.
From a controls perspective, GDPR penalties reinforce the need for strong security and privacy-by-design practices: data minimization, lawful processing, documented purposes, retention controls, encryption where appropriate, access control and least privilege, monitoring and incident response readiness, and evidence-based accountability through policies, records, and audit trails. Selecting option C correctly reflects GDPR's maximum fine structure and its risk-based deterrence model.
NEW QUESTION # 64
Information classification of data is a level of protection that is based on an organization's:
Answer: A
Explanation:
Information classification is the practice of assigning data a sensitivity level so the organization can apply protections that match the business impact if the information is exposed, altered, or becomes unavailable. The core driver for classification is the risk of harm-especially harm caused by unauthorized disclosure. If disclosure would result in regulatory penalties, reputational damage, competitive disadvantage, contractual breach, or harm to customers and employees, the data is classified at a higher level and requires stronger controls. These controls commonly include tighter access restrictions (least privilege and role-based access), stronger authentication, encryption at rest and in transit, stricter handling and sharing rules, audit logging, monitoring, and secure disposal requirements.
While retention can be influenced by compliance obligations, it is not what determines the classification level; retention policies typically reference classification but do not define it. "Need for access" is managed through access control decisions, which are applied after the data's sensitivity is understood; classification informs who should have access, not the other way around. "Timing of availability" relates to availability requirements and service resilience, which are important, but classification schemes primarily focus on sensitivity and potential damage from inappropriate exposure, with integrity and availability considerations often handled as additional impact dimensions.
Therefore, the best verified basis for information classification is the organization's assessment of risk of loss or harm from disclosure.
NEW QUESTION # 65
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