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NEW QUESTION # 35
What risk to information integrity is a Business Analyst aiming to minimize, by defining processes and procedures that describe interrelations between data sets in a data warehouse implementation?
Answer: B
Explanation:
In a data warehouse, information from multiple operational sources is consolidated, transformed, and related through keys, joins, and business rules. When a Business Analyst defines processes and procedures that describe how data sets interrelate, they are primarily controlling the risk created by data aggregation. Aggregation risk arises when combining multiple datasets produces a new, richer dataset that can change the meaning, sensitivity, or trustworthiness of the information. If relationships and transformation rules are poorly defined or inconsistently applied, the warehouse can generate misleading analytics, incorrect roll-ups, duplicated records, or invalid correlations-directly harming information integrity because decisions are made on inaccurate or improperly combined data.
Well-defined interrelation procedures specify authoritative sources, master data rules, key management, referential integrity expectations, transformation and reconciliation steps, and data lineage. These controls help ensure the warehouse preserves correctness when data is integrated across systems with different formats, definitions, and update cycles. They also support governance by enabling validation checks (for example, balancing totals to source systems, exception handling, and data-quality thresholds) and by making it clear which dataset should be trusted for specific attributes.
Unauthorized access and confidentiality are important warehouse risks, but they are addressed mainly through access controls and encryption. Cross-site scripting is a web application vulnerability and is not the core issue in describing dataset relationships. Therefore, the correct answer is Data Aggregation.
NEW QUESTION # 36
Which statement is true about a data warehouse?
Answer: D
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 # 37
The main phases of incident management are:
Answer: D
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 # 38
Cybersecurity regulations typically require that enterprises demonstrate that they can protect:
Answer: B
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 # 39
Which of the following terms represents an accidental exploitation of a vulnerability?
Answer: A
Explanation:
In cybersecurity risk terminology, an event is an observable occurrence that can affect systems, services, or data. An event may be benign, harmful, intentional, or accidental. When a vulnerability is exploited accidentally-for example, a user unintentionally triggers a software flaw, a misconfiguration causes unintended exposure, or a system process mishandles input and causes data corruption-the occurrence is best categorized as an event. Cybersecurity documentation often distinguishes between the possibility of harm and the actual occurrence of a harmful condition. A threat is the potential for an unwanted incident, such as an actor or circumstance that could exploit a vulnerability. A threat does not require that exploitation actually happens; it describes risk potential. An agent is the entity that acts (such as a person, malware, or process) and may be malicious or non-malicious, but "agent" is not the term for the occurrence itself. A response refers to the actions taken after detection, such as containment, eradication, recovery, and lessons learned; it is part of incident handling, not the accidental exploitation.
Therefore, the term that represents the actual accidental exploitation occurrence is event, because it captures the real-world happening that may trigger alerts, investigations, and potentially incident response activities if impact is significant.
NEW QUESTION # 40
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