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| Certification Vendor: | IIBA |
|---|---|
| Exam Name: | Certificate in Cybersecurity Analysis (CCA) Exam |
| Exam Number: | IIBA-CCA |
| Real Exam Qty: | 75 |
| Passing Score: | Not published; result shown as Pass/Fail |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Competency-based, Knowledge-based |
| Exam Price: | $250 (IIBA Member), $400 (Non-Member) |
| Exam Duration: | 90 minutes |
| Recommended Training: | IIBA Endorsed Education Providers IIBA CCA Exam Handbook |
| Exam Registration: | IIBA Official Registration PSI Exam Scheduling |
| Sample Questions: | IIBA IIBA-CCA Sample Questions |
| Exam Way: | Online remote proctored exam |
| Pre Condition: | No formal prerequisites; recommended background in business analysis or IT |
| Official Syllabus URL: | https://www.iiba.org/business-analysis-certifications/certificate-in-cybersecurity-analysis/ |
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NEW QUESTION # 65
What should organizations do with Key Risk Indicator KRI and Key Performance Indicator KPI data to facilitate decision making, and improve performance and accountability?
Answer: C
Explanation:
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.
NEW QUESTION # 66
NIST 800-30 defines cyber risk as a function of the likelihood of a given threat-source exercising a potential vulnerability, and:
Answer: A
Explanation:
NIST SP 800-30 describes risk using a classic risk model: risk is a function of likelihood and impact. In this model, a threat-source may exploit a vulnerability, producing a threat event that results in adverse consequences. The likelihood component reflects how probable it is that a threat event will occur and successfully cause harm, considering factors such as threat capability and intent (or in non-adversarial cases, the frequency of hazards), the existence and severity of vulnerabilities, exposure, and the strength of current safeguards. However, likelihood alone does not define risk; a highly likely event that causes minimal harm may be less important than a less likely event that causes severe harm.
The second required component is the impact-the magnitude of harm to the organization if the adverse event occurs. Impact is commonly evaluated across mission and business outcomes, including financial loss, operational disruption, legal or regulatory consequences, reputational damage, and loss of confidentiality, integrity, or availability. This is why option D is correct: NIST's definition explicitly ties the risk expression to the resulting impact on the organization.
The other options may influence likelihood assessment or control selection, but they are not the missing definitional element. Detection probability and control assurance relate to monitoring and governance; predisposing conditions can shape likelihood. None replace the
NEW QUESTION # 67
How is a risk score calculated?
Answer: A
Explanation:
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.
NEW QUESTION # 68
Which of the following terms represents an accidental exploitation of a vulnerability?
Answer: C
Explanation:
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.
NEW QUESTION # 69
Cybersecurity regulations typically require that enterprises demonstrate that they can protect:
Answer: B
Explanation:
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.
NEW QUESTION # 70
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