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NEW QUESTION # 55
Which organizational area would drive a cybersecurity infrastructure Business Case?
Answer: B
NEW QUESTION # 56
Which of the following factors is most important in determining the classification of personal information?
Answer: D
Explanation:
Personal information is classified primarily based on the harm that could result from unauthorized disclosure, which maps directly to the confidentiality objective. Cybersecurity and privacy governance frameworks treat personal data as sensitive because exposure can lead to identity theft, fraud, discrimination, personal safety risks, and loss of privacy. Organizations also face regulatory penalties, contractual consequences, and reputational damage when personal data is disclosed without authorization. For this reason, when determining classification, the first and most influential question is typically: "What is the impact if this data becomes known to someone who should not have it?" That impact assessment drives the required protection level and handling rules.
Confidentiality-focused controls then follow from the classification decision, including least privilege and role-based access, strong authentication, encryption at rest and in transit, secure key management, data loss prevention where appropriate, logging and monitoring of access to sensitive records, and strict sharing/transfer procedures.
Integrity and availability matter for personal information, but they are usually secondary in classification decisions. Integrity affects trustworthiness and correctness (for example, incorrect medical or payroll data), and availability affects the ability to access records when needed. However, the defining sensitivity of personal information is that it must not be disclosed improperly. "Accessibility" is not a core security objective used in standard classification models; it is an operational usability concept that is managed through access design after sensitivity is established.
NEW QUESTION # 57
What is risk mitigation?
Answer: C
Explanation:
Risk mitigation is the risk treatment approach focused on reducing risk to an acceptable level by lowering either the likelihood of a risk event, the impact of that event, or both. In cybersecurity risk management, mitigation is accomplished by implementing controls and countermeasures such as technical safeguards, process changes, and administrative measures. Examples include patching vulnerable systems, hardening configurations, enabling multi-factor authentication, applying least privilege, network segmentation, encryption, improved logging and monitoring, secure development practices, and user awareness training. Each of these actions reduces exposure or limits damage if an incident occurs.
The other options describe different risk treatment strategies, not mitigation. Purchasing insurance is generally considered risk transfer, where financial impact is shifted to a third party, but the underlying threat and vulnerability may still exist. Eliminating risk by stopping the risky activity is risk avoidance; it removes the exposure by discontinuing the process, system, or behavior causing the risk. Documenting the risk and preparing a recovery plan aligns more closely with risk acceptance combined with contingency planning or resilience planning; it acknowledges the risk and focuses on recovery rather than reducing the probability of occurrence.
Therefore, the correct definition of risk mitigation is reducing the risk through implementing one or more countermeasures.
NEW QUESTION # 58
Where business process diagrams can be used to identify vulnerabilities within solution processes, what tool can be used to identify vulnerabilities within solution technology?
Answer: B
Explanation:
Business process diagrams help analysts spot weaknesses in workflows, approvals, handoffs, and segregation of duties, but they do not directly test the technical security of the underlying applications, infrastructure, or configurations. To identify vulnerabilities within solution technology, cybersecurity practice uses penetration testing, which is a controlled, authorized simulation of real-world attacks against systems. A penetration test examines how a solution behaves under adversarial conditions and validates whether security controls actually prevent exploitation, not just whether they are designed on paper.
Penetration testing typically includes reconnaissance, enumeration, and attempts to exploit weaknesses in areas such as authentication, session management, access control, input handling, APIs, encryption usage, misconfigurations, and exposed services. Results provide evidence-based findings, including exploit paths, impact, affected components, and recommended remediations. This makes penetration testing especially valuable before go-live, after major changes, and periodically for high-risk systems to confirm the security posture remains acceptable.
The other options do not fit the objective. A security patch is a remediation action taken after vulnerabilities are known, not a method for discovering them. A smoke test is a basic functional check to confirm the system builds and runs; it is not a security assessment. Vulnerability-as-a-Service is a delivery model that may include scanning or testing, but the recognized tool or technique for identifying vulnerabilities in the technology itself in this context is a penetration test, which directly evaluates exploitability and real security impact.
NEW QUESTION # 59
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: C
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 # 60
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