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IIBA Certificate in Cybersecurity Analysis Sample Questions (Q10-Q15):
NEW QUESTION # 10
NIST 800-30 defines cyber risk as a function of the likelihood of a given threat-source exercising a potential vulnerability, and:
- A. the resulting impact of that adverse event on the organization.
- B. the pre-disposing conditions of the vulnerability.
- C. the effectiveness of the control assurance framework.
- D. the probability of detecting damage to the infrastructure.
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 # 11
What is defined as an internal computerized table of access rules regarding the levels of computer access permitted to login IDs and computer terminals?
- A. Access Control Entry
- B. Access Control List
- C. Relational Access Database
- D. Directory Management System
Answer: B
Explanation:
An Access Control List (ACL) is a structured, system-maintained list of authorization rules that specifies who or what is allowed to access a resource and what actions are permitted. In many operating systems, network devices, and applications, an ACL functions as an internal table that maps identities such as user IDs, group IDs, service accounts, or even device/terminal identifiers to permissions like read, write, execute, modify, delete, or administer. When a subject attempts to access an object, the system consults the ACL to determine whether the requested operation should be allowed or denied, enforcing the organization's security policy at runtime.
The description in the question matches the classic definition of an ACL as a computerized table of access rules tied to login IDs and sometimes the originating endpoint or terminal context. ACLs are central to implementing discretionary access control and are also widely used in networking (for example, permitting or denying traffic flows based on source/destination and ports) and file systems (controlling access to folders and files).
An Access Control Entry (ACE) is only a single line item within an ACL (one rule for one subject). A "Relational Access Database" is not a standard security control term for authorization tables. A "Directory Management System" manages identities and groups, but it is not the same as the enforcement list attached to a specific resource. Therefore, the correct answer is Access Control List.
NEW QUESTION # 12
Where business process diagrams can be used to identify vulnerabilities within solution processes, what tool can be used to identify vulnerabilities within solution technology?
- A. Penetration Test
- B. Security Patch
- C. Vulnerability-as-a-Service
- D. Smoke Test
Answer: A
Explanation:
Business process diagrams help analysts spot weaknesses in workflows, approvals, handoffs, and segregation of duties, but they do not directly test the technical security of the underlying applications, infrastructure, or configurations. To identify vulnerabilities within solution technology, cybersecurity practice uses penetration testing, which is a controlled, authorized simulation of real-world attacks against systems. A penetration test examines how a solution behaves under adversarial conditions and validates whether security controls actually prevent exploitation, not just whether they are designed on paper.
Penetration testing typically includes reconnaissance, enumeration, and attempts to exploit weaknesses in areas such as authentication, session management, access control, input handling, APIs, encryption usage, misconfigurations, and exposed services. Results provide evidence-based findings, including exploit paths, impact, affected components, and recommended remediations. This makes penetration testing especially valuable before go-live, after major changes, and periodically for high-risk systems to confirm the security posture remains acceptable.
The other options do not fit the objective. A security patch is a remediation action taken after vulnerabilities are known, not a method for discovering them. A smoke test is a basic functional check to confirm the system builds and runs; it is not a security assessment. Vulnerability-as-a-Service is a delivery model that may include scanning or testing, but the recognized tool or technique for identifying vulnerabilities in the technology itself in this context is a penetration test, which directly evaluates exploitability and real security impact.
NEW QUESTION # 13
What risk to information integrity is a Business Analyst aiming to minimize, by defining processes and procedures that describe interrelations between data sets in a data warehouse implementation?
- A. Cross-Site Scripting
- B. Confidentiality
- C. Data Aggregation
- D. Unauthorized Access
Answer: C
Explanation:
In a data warehouse, information from multiple operational sources is consolidated, transformed, and related through keys, joins, and business rules. When a Business Analyst defines processes and procedures that describe how data sets interrelate, they are primarily controlling the risk created by data aggregation. Aggregation risk arises when combining multiple datasets produces a new, richer dataset that can change the meaning, sensitivity, or trustworthiness of the information. If relationships and transformation rules are poorly defined or inconsistently applied, the warehouse can generate misleading analytics, incorrect roll-ups, duplicated records, or invalid correlations-directly harming information integrity because decisions are made on inaccurate or improperly combined data.
Well-defined interrelation procedures specify authoritative sources, master data rules, key management, referential integrity expectations, transformation and reconciliation steps, and data lineage. These controls help ensure the warehouse preserves correctness when data is integrated across systems with different formats, definitions, and update cycles. They also support governance by enabling validation checks (for example, balancing totals to source systems, exception handling, and data-quality thresholds) and by making it clear which dataset should be trusted for specific attributes.
Unauthorized access and confidentiality are important warehouse risks, but they are addressed mainly through access controls and encryption. Cross-site scripting is a web application vulnerability and is not the core issue in describing dataset relationships. Therefore, the correct answer is Data Aggregation.
NEW QUESTION # 14
There are three states in which data can exist:
- A. at sleep, in awake, in use.
- B. at dead, in action, in use.
- C. at rest, in transit, in use.
- D. at dormant, in mobile, in use.
Answer: C
Explanation:
Data is commonly categorized into three states because the threats and protections change depending on where the data is and what is happening to it. Data at rest is stored on a device or system, such as databases, file shares, endpoints, backups, and cloud storage. The main risks are unauthorized access, theft of storage media, misconfigured permissions, and improper disposal. Controls typically include strong access control, encryption at rest with sound key management, secure configuration and hardening, segmentation, and resilient backup protections including restricted access and immutability.
Data in transit is data moving between systems, such as client-to-server traffic, service-to-service connections, API calls, and email routing. The primary risks are interception, alteration, and impersonation through man-in-the-middle techniques. Standard controls include transport encryption (such as TLS), strong authentication and certificate validation, secure network architecture, and monitoring for anomalous connections or data flows.
Data in use is actively processed in memory by applications and users, for example when a document is opened, a record is processed by an application, or data is displayed to a user. This state is challenging because data may be decrypted for processing. Controls include least privilege, strong authentication and session management, endpoint protection, application security controls, and secure development practices, with hardware-backed isolation when required.
NEW QUESTION # 15
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