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質問 # 19
In the OSI model for network communication, the Session Layer is responsible for:
正解：D
解説：
The OSI Session Layer (Layer 5) is responsible for establishing, managing, and terminating sessions between communicating applications. A session is the logical dialogue that allows two endpoints to coordinate how communication starts, how it continues, and how it ends. This includes controlling the "conversation" state, such as who can transmit at what time, maintaining the session so it stays active, and closing it cleanly when it is no longer needed. Because of this, option A best matches the Session Layer's core responsibilities.
In contrast, presenting data to the receiver in a recognizable form is the job of the Presentation Layer (Layer 6), which deals with formatting, encoding, compression, and often cryptographic transformation concepts. Adding appropriate network addresses to packets aligns to the Network Layer (Layer 3), where logical addressing and routing decisions occur, typically associated with IP addressing. Transmitting the data on the medium is handled at the Physical Layer (Layer 1), which concerns signals, cabling, and the actual movement of bits.
From a cybersecurity perspective, session management is important because weaknesses can enable session hijacking, replay, or fixation, especially when session identifiers are predictable, not protected, or not properly invalidated. Controls commonly include strong authentication, secure session token generation, timeout and reauthentication rules, and proper session termination to reduce exposure.
質問 # 20
How should categorization information be used in business impact analysis?
正解：C
質問 # 21
Which of the following factors is most important in determining the classification of personal information?
正解：D
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 # 22
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:
正解：A
解説：
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.
質問 # 23
How is a risk score calculated?
正解：A
解説：
A risk score is commonly calculated by combining two core factors: how likely a risk scenario is to occur and how severe the consequences would be if it did occur. This is often described in cybersecurity risk documentation as likelihood times impact, or as a structured mapping using a risk matrix. Probability or likelihood reflects the chance that a threat event will exploit a vulnerability under current conditions. It may consider elements such as threat activity, exposure, ease of exploitation, control strength, and historical incident patterns. Impact reflects the magnitude of harm to the organization, usually measured across business disruption, financial loss, legal or regulatory exposure, reputational damage, and harm to confidentiality, integrity, or availability.
While confidentiality, integrity, and availability are essential for understanding what matters and can influence impact ratings, they are typically inputs into impact determination rather than the full scoring method by themselves. Past experience and expert threat assessment can inform likelihood estimates, but they are not the standard calculation model on their own. The key concept is that risk must reflect both chance and consequence; a highly impactful event with very low likelihood may be scored similarly to a moderate impact event with high likelihood depending on the organization's methodology.
Therefore, the most accurate description of how a risk score is calculated is the combination of probability and impact, enabling prioritization and consistent risk treatment decisions.
質問 # 24
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