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| Section | Objectives |
|---|---|
| Identity and Access Management | - Authorization - Authentication |
| Cybersecurity Fundamentals | - Principles - Core Concepts - Terminology |
| Security Governance | - Compliance - Risk Management |
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質問 # 25
What should organizations do with Key Risk Indicator KRI and Key Performance Indicator KPI data to facilitate decision making, and improve performance and accountability?
正解：A
解説：
KRIs and KPIs are only useful when they are handled as part of a disciplined measurement lifecycle. Cybersecurity governance guidance emphasizes three essential activities: collect, analyze, and report. Organizations must first collect KRI and KPI data consistently from reliable sources such as vulnerability scanners, SIEM logs, IAM systems, ticketing platforms, and asset inventories. Collection requires defined metric owners, clear definitions, standardized time windows, and data quality checks so results are comparable across periods and business units.
Next, organizations analyze the data to understand what it means for risk and performance. Analysis includes trending over time, comparing results to targets and thresholds, correlating indicators to business outcomes, identifying outliers, and determining root causes. For KRIs, analysis highlights rising exposure or control breakdowns such as increasing critical vulnerabilities beyond SLA. For KPIs, analysis evaluates operational effectiveness such as mean time to detect and mean time to remediate.
Finally, organizations report results to the right audiences with the right level of detail. Reporting supports accountability by assigning actions, tracking remediation progress, and escalating when thresholds are exceeded. It also supports decision making by showing where investment, staffing, or control changes will have the greatest risk-reduction and performance impact. The other options are not standard, auditable metric management activities and do not reflect the established lifecycle used in cybersecurity measurement programs.
質問 # 26
Which of the following factors is most important in determining the classification of personal information?
正解：B
解説：
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.
質問 # 27
Cybersecurity regulations typically require that enterprises demonstrate that they can protect:
正解：D
解説：
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.
質問 # 28
What business analysis deliverable would be an essential input when designing an audit log report?
正解：C
解説：
Designing an audit log report requires clarity on who is allowed to do what, which actions are considered security-relevant, and what evidence must be captured to demonstrate accountability. Access Control Requirements are the essential business analysis deliverable because they define roles, permissions, segregation of duties, privileged functions, approval workflows, and the conditions under which access is granted or denied. From these requirements, the logging design can specify exactly which events must be recorded, such as authentication attempts, authorization decisions, privilege elevation, administrative changes, access to sensitive records, data exports, configuration changes, and failed access attempts. They also help determine how logs should attribute actions to unique identities, including service accounts and delegated administration, which is critical for auditability and non-repudiation.
Access control requirements also drive necessary log fields and report structure: user or role, timestamp, source, target object, action, outcome, and reason codes for denials or policy exceptions. Without these requirements, an audit log report can become either too sparse to support investigations and compliance, or too noisy to be operationally useful.
A risk log can influence priorities, but it does not define the authoritative set of access events and entitlements that must be auditable. A future state process can provide context, yet it is not as precise as access rules for determining what to log. An internal audit report may highlight gaps, but it is not the primary design input compared to formal access control requirements.
質問 # 29
What is an embedded system?
正解：C
解説：
An embedded system is a specialized computing system designed to perform a dedicated function as part of a larger device or physical system. Unlike general-purpose computers, embedded systems are built to support a specific mission such as controlling sensors, actuators, communications, or device logic in products like routers, printers, medical devices, vehicles, industrial controllers, and smart appliances. Cybersecurity documentation commonly highlights that embedded systems tend to operate with constrained resources, which may include limited CPU power, memory, storage, and user interface capabilities. These constraints affect both design and security: patching may be harder, logging may be minimal, and security features must be carefully engineered to fit the platform's limitations.
Option C best matches this characterization by describing a small form factor and limited processing power, which are typical attributes of many embedded devices. While not every embedded system is "small," the key idea is that it is purpose-built, resource-constrained, and tightly integrated into a larger product.
The other options describe different concepts. A secure underground facility relates to physical site security, not embedded computing. Being hard to remove is about physical installation or tamper resistance, which can apply to many systems but is not what defines "embedded." Storing cryptographic keys in a tamper-resistant external device describes a hardware security module or secure element use case, not the general definition of an embedded system.
質問 # 30
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