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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Security | 15% | - Data lifecycle security - Data classification and handling - Data privacy and compliance - Encryption and protection methods |
| Topic 2: Operations | 12% | - Business continuity and disaster recovery - Security awareness and training - Security monitoring and incident response - Change management and security |
| Topic 3: Cybersecurity Risks and Controls | 12% | - Types of cybersecurity threats and vulnerabilities - Defense in depth approach - Control categories and implementation |
| Topic 4: Securing the Layers | 5% | - Cloud security fundamentals - Network security - Application security - Endpoint security |
| Topic 5: Cybersecurity Overview and Basic Concepts | 14% | - Role of Business Analysis in Cybersecurity - Cybersecurity frameworks and standards - Core cybersecurity terminology and principles |
| Topic 6: User Access Control | 15% | - Authentication and authorization - Identity and access management principles - Access reviews and recertification - Privileged access management |
| Topic 7: Enterprise Risk | 14% | - Risk appetite and tolerance - Risk treatment and mitigation strategies - Risk identification and assessment |
| Topic 8: Solution Delivery | 13% | - Integrating security into requirements - Security testing and validation - Security in solution design - Secure implementation and deployment |
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質問 # 29
Which of the following terms represents an accidental exploitation of a vulnerability?
正解:C
解説:
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.
質問 # 30
What does non-repudiation mean in the context of web security?
正解:A
解説:
Non-repudiation is a security property that provides verifiable evidence of an action or communication so that the parties involved cannot credibly deny their participation later. In web security, it most commonly means being able to prove who sent a message or performed a transaction and, in many cases, that the message was received and recorded. This is why option D is correct: it captures the idea of giving the receiver proof of the sender's identity and giving the sender evidence that the message or transaction was delivered or accepted.
Cybersecurity guidance typically associates non-repudiation with digital signatures, strong identity binding, and protected audit evidence. A digital signature uses asymmetric cryptography so that only the holder of a private key can sign, while anyone with the public key can verify the signature. When combined with trusted certificates, accurate time sources, and protected logs, this creates strong accountability. Non-repudiation also depends on maintaining the integrity of supporting evidence, such as tamper-resistant audit logs, secure log retention, and controlled access to signing keys.
It is different from confidentiality (encryption of traffic), and different from integrity alone (preventing unauthorized modification). It is also different from authorization and auditing, which support accountability but do not, by themselves, provide cryptographic-grade proof that a specific entity performed a specific action. Non-repudiation is especially important for high-trust transactions such as approvals, payments, and legally binding communications.
質問 # 31
Which capability would a solution option need to demonstrate in order to satisfy Logging Requirements?
正解:C
解説:
Logging requirements in cybersecurity focus on ensuring the system can produce reliable, actionable records that support detection, investigation, compliance, and accountability. The most fundamental capability is the ability to record information about user access and actions within the system. This includes authentication events such as logon success or failure, logoff, session creation, and privilege elevation; authorization decisions such as access granted or denied; and security-relevant actions such as viewing, creating, modifying, deleting, exporting, or transmitting sensitive data. Good security logging also captures context like timestamp synchronization, user or service identity, source device or IP, target resource, action performed, and outcome.
This capability supports multiple operational needs. Security monitoring teams rely on logs to identify anomalies like repeated failed logins, unusual access times, access from unexpected locations, or high-risk administrative changes. Incident responders need logs to reconstruct timelines, confirm scope, and preserve evidence. Auditors and compliance teams require logs to demonstrate control effectiveness, segregation of duties, and traceability of changes.
The other options are not sufficient to satisfy logging requirements. Single sign-on can simplify authentication but does not guarantee application-level activity logging. Integration with specialized tools may be useful, but the solution must first generate the required events. Deployment model options do not address whether the system can create detailed audit trails. Therefore, the required capability is recording user access and actions in the system.
質問 # 32
How should categorization information be used in business impact analysis?
正解:C
解説:
Security categorization (commonly based on confidentiality, integrity, and availability impact levels) is meant to reflect the level of harm that would occur if an information type or system is compromised. A business impact analysis, on the other hand, examines the operational and organizational consequences of disruptions or failures-such as loss of revenue, inability to deliver critical services, legal or regulatory exposure, reputational harm, and impacts to customers or individuals. Because these two activities look at impact from different but related perspectives, categorization information should be used during the BIA to confirm that the stated security categorization truly matches real business consequences.
Using categorization as an input helps analysts validate assumptions about criticality, sensitivity, and tolerance for downtime. If the BIA shows that outages or data compromise would produce greater harm than the existing categorization implies, that discrepancy signals under-classification and insufficient controls. Conversely, if the BIA demonstrates limited impact, it may indicate over-classification, potentially driving unnecessary cost and operational burden. Identifying these mismatches early supports better risk decisions, prioritization of recovery objectives, and selection of controls proportionate to actual impact.
The other options describe activities that may occur in architecture, governance, or project planning, but they are not the primary purpose of using categorization information in a BIA. The key value is reconciliation: aligning security impact levels with verified business impact.
質問 # 33
What risk factors should the analyst consider when assessing the Overall Likelihood of a threat?
正解:B
解説:
In NIST-style risk assessment, overall likelihood is not a single guess; it is derived by considering two related likelihood components. First is the likelihood that a threat event will be initiated. This reflects how probable it is that a threat actor or source will attempt the attack or that a threat event will occur, considering factors such as adversary capability, intent, targeting, opportunity, and environmental conditions. Second is the likelihood that an initiated event will succeed, meaning the attempt results in the adverse outcome. This depends heavily on the organization's existing protections and conditions, including control strength, system exposure, vulnerabilities, misconfigurations, detection and response capability, and user behavior.
Option A matches this structure: analysts evaluate both attack initiation likelihood and initiated attack success likelihood to reach an overall view of likelihood. A high initiation likelihood with low success likelihood might occur when an organization is frequently targeted but has strong defenses. Conversely, low initiation likelihood with high success likelihood might apply to niche systems that are rarely targeted but poorly protected.
The other options are incomplete or misplaced. Risk impact is a separate dimension from likelihood, and mitigation strategy is an output of risk treatment, not an input to likelihood. Site traffic and commerce volume can influence exposure but do not define likelihood by themselves. Past experience and trends are useful evidence, but they support estimating the two likelihood components rather than replacing them.
質問 # 34
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