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| Section | Objectives |
|---|---|
| Topic 1: Business Analysis in Cybersecurity | - Stakeholder and requirements analysis for security initiatives - Translating security needs into requirements |
| Topic 2: Cyber Risk and Controls | - Risk identification and assessment basics - Security controls and mitigation strategies |
| Topic 3: Cybersecurity Analysis Foundations | - Security concepts in business analysis context - Cybersecurity terminology and principles |
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NEW QUESTION # 22
What things must be identified to define an attack vector?
Answer: C
Explanation:
An attack vector is the route or method used to compromise an environment, and it is typically described as the way a threat actor exploits a vulnerability to gain unauthorized access, execute code, steal data, or disrupt services. To define an attack vector correctly, cybersecurity documents emphasize that you must identify both parts of that relationship: who or what is attacking and what weakness is being exploited. The "attacker" component represents the threat source or threat actor, including their capability and intent (for example, cybercriminals using phishing, insiders abusing access, or automated botnets scanning the internet). The "vulnerability" component is the specific weakness or exposure that enables success, such as a missing patch, weak authentication, misconfiguration, excessive permissions, insecure coding flaw, or lack of user awareness.
Without identifying the attacker, you cannot properly characterize the likely techniques, scale, and motivation driving the vector. Without identifying the vulnerability, you cannot define the practical entry point and control gaps that make the vector feasible. Together, attacker plus vulnerability allows defenders to map realistic scenarios, prioritize controls, and select mitigations that reduce likelihood and impact. Those mitigations may include patching, configuration hardening, strong authentication, least privilege, network segmentation, user training, and monitoring. The other options list technology elements that can be involved in an incident, but they do not capture the essential definition of an attack vector as an exploitation path driven by a threat actor leveraging a weakness
NEW QUESTION # 23
The opportunity cost of increased cybersecurity is that:
Answer: A
Explanation:
Opportunity cost is a core enterprise-risk and economics concept: when an organization allocates limited resources to one activity, it reduces what is available for other priorities. Increasing cybersecurity typically requires money, skilled personnel time, executive attention, tooling, and operational capacity. Those resources could otherwise be used for revenue-generating work such as new product features, customer experience improvements, system modernization, market expansion, or process automation. That tradeoff is exactly what option D describes, making it the correct answer.
Cybersecurity documents stress that risk treatment decisions must balance risk reduction against cost, feasibility, and business impact. While stronger security can reduce the likelihood and impact of incidents, it can also introduce friction (extra approval steps, stronger authentication, segmentation), slow delivery when changes require additional reviews, and demand ongoing operational effort (monitoring, patching, vulnerability remediation, access recertification, incident response testing). These impacts are not arguments against security; they are the reason governance processes prioritize controls based on the most critical assets, highest-risk threats, and compliance requirements.
Option A may be true in some cases, but it describes a direct cost, not the broader economic concept of opportunity cost. Option B is a trend statement and not the definition. Option C is incorrect because security spend is not always less than breach risk; organizations must evaluate cost-benefit and acceptable residual risk rather than assume a universal rule.
NEW QUESTION # 24
What risk factors should the analyst consider when assessing the Overall Likelihood of a threat?
Answer: C
Explanation:
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.
NEW QUESTION # 25
Which of the following is a cybersecurity risk that should be addressed by business analysis during solution development?
Answer: D
Explanation:
Business analysis is responsible for ensuring the solution is correctly understood in terms of business purpose, process flows, data handling, user roles, integrations, and non-functional requirements such as security and privacy. If the solution is not understood well enough, security risks will be missed early, leading to gaps that are expensive and difficult to correct later. This is why option C is the best answer: inadequate understanding prevents reliable identification of threats, sensitive data paths, trust boundaries, and misuse cases during requirements and design stages.
Cybersecurity documents emphasize "security by design" and "shift-left" practices, meaning risks should be identified and addressed before build and test. Business analysis contributes by eliciting and documenting security requirements, clarifying data classification and retention needs, defining user access and privilege expectations, identifying regulatory and policy constraints, and ensuring interfaces and third-party dependencies are known and assessed. BA also supports threat modeling inputs by providing accurate context about actors, workflows, and data movement, which are essential for identifying where controls like authentication, authorization, logging, encryption, and validation must exist.
Other options align to different roles or stages: budgets are governance and project management constraints, QA limitations are testing risks, and coding-introduced vulnerabilities are primarily addressed through secure coding standards, code review, and developer practices. BA's key cybersecurity risk is incomplete understanding that prevents correct security requirements and risk identification.
NEW QUESTION # 26
Which statement is true about a data warehouse?
Answer: A
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 # 27
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