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| Certification Vendor: | IIBA |
|---|---|
| Exam Name: | IIBA Certificate in Cybersecurity Analysis |
| Exam Number: | IIBA-CCA |
| Passing Score: | 70% |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 100 |
| Certificate Validity Period: | No expiration |
| Available Languages: | English |
| Exam Format: | Multiple Choice |
| Exam Price: | $450 USD |
| Related Certifications: | IIBA Certification |
| Sample Questions: | IIBA IIBA-CCA Sample Questions |
| Exam Way: | Online proctored or Test Center |
| Pre Condition: | No specific prerequisites, but experience in business analysis or cybersecurity is recommended. |
| Official Syllabus URL: | https://www.iiba.org/career-resources/a-business-analysis-professionals-foundation-for-success/certificate-in-cybersecurity-analysis/ |
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NEW QUESTION # 50
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?
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 # 51
When attackers exploit human emotions and connection to gain access, what technique are they using?
Answer: C
Explanation:
Social engineering is the broad technique attackers use when they manipulate human psychology-such as trust, fear, urgency, curiosity, sympathy, authority, or the desire to be helpful-to persuade someone to take an action that benefits the attacker. The key idea in the question is "exploit human emotions and connection," which is the defining characteristic of social engineering. Rather than breaking a system through purely technical means, the attacker targets the person as the easiest path to access, credentials, sensitive information, or physical entry.
Phishing is a specific subtype of social engineering that typically uses email, text messages, or fake websites to trick users into clicking links, opening attachments, or entering credentials. Tailgating is another subtype focused on physical access, where an attacker follows an authorized person into a restricted area by leveraging politeness or social pressure. Malware is malicious software used to compromise systems; it can be delivered through social engineering, but malware itself is not the human-manipulation technique.
Cybersecurity control guidance treats social engineering as a major risk because it can bypass technical protections by causing legitimate users to unintentionally grant access. Common defenses include awareness training, verification procedures (call-back and out-of-band confirmation), least privilege, multi-factor authentication, strong email and web filtering, and clear reporting channels so suspicious requests can be escalated quickly.
NEW QUESTION # 52
Which of the following challenges to embedded system security can be addressed through ongoing, remote maintenance?
Answer: B
Explanation:
Ongoing, remote maintenance is one of the most effective ways to improve the security posture of embedded systems over time because it enables timely remediation of newly discovered weaknesses. Embedded devices frequently run firmware that includes operating logic, network stacks, and third-party libraries. As vulnerabilities are discovered in these components, organizations must be able to deploy fixes quickly to reduce exposure. Remote maintenance supports this by enabling over-the-air firmware and software updates, configuration changes, certificate and key rotation, and the rollout of compensating controls such as updated security policies or hardened settings.
Option B is correct because remote maintenance directly addresses the challenge of deploying updated firmware as issues are identified. Cybersecurity guidance for embedded and IoT environments emphasizes secure update mechanisms: authenticated update packages, integrity verification (such as digital signatures), secure distribution channels, rollback protection, staged deployment, and audit logging of update actions. These practices reduce the risk of attackers installing malicious firmware and help ensure devices remain supported throughout their operational life.
The other options are not primarily solved by remote maintenance. Limited CPU and memory are inherent design constraints that may require hardware redesign. Battery and component limitations are also physical constraints. Physical security attacks exploit device access and hardware weaknesses, which require tamper resistance, secure boot, and physical protections rather than remote maintenance alone.
NEW QUESTION # 53
Organizations who don't quantify this will likely miss opportunities toward achieving strategic goals and objectives:
Answer: D
Explanation:
Risk appetite is the amount and type of risk an organization is willing to pursue or retain in order to achieve its objectives. Cybersecurity and enterprise risk management guidance treats risk appetite as a strategic input because it shapes decision-making across portfolios, programs, and day-to-day operations. When risk appetite is quantified through measurable statements and thresholds, leaders can compare proposed initiatives against agreed limits and make consistent trade-offs between speed, cost, innovation, and protection.
If an organization does not quantify risk appetite, it often defaults to inconsistent behavior: some teams become overly cautious and reject beneficial initiatives, while others take uncontrolled risk because there is no clear boundary. Both outcomes can cause missed opportunities. Over-caution can delay digital transformation, cloud adoption, automation, and new customer capabilities. Under-defined boundaries can also lead to surprise losses, regulatory issues, and unplanned remediation that consumes budget and time-reducing the organization's ability to execute strategy.
Quantified risk appetite enables practical governance: it guides which risks can be accepted, which require mitigation, and which must be escalated for executive decision. It also supports prioritization of security investments by focusing resources on risks that exceed tolerance and allowing faster approval for activities that fall within appetite. In short, risk appetite is the strategic "north star" that aligns cybersecurity risk-taking with business goals, making option D the correct choice.
NEW QUESTION # 54
What business analysis deliverable would be an essential input when designing an audit log report?
Answer: A
Explanation:
Designing an audit log report requires clarity on who is allowed to do what, which actions are considered security-relevant, and what evidence must be captured to demonstrate accountability. Access Control Requirements are the essential business analysis deliverable because they define roles, permissions, segregation of duties, privileged functions, approval workflows, and the conditions under which access is granted or denied. From these requirements, the logging design can specify exactly which events must be recorded, such as authentication attempts, authorization decisions, privilege elevation, administrative changes, access to sensitive records, data exports, configuration changes, and failed access attempts. They also help determine how logs should attribute actions to unique identities, including service accounts and delegated administration, which is critical for auditability and non-repudiation.
Access control requirements also drive necessary log fields and report structure: user or role, timestamp, source, target object, action, outcome, and reason codes for denials or policy exceptions. Without these requirements, an audit log report can become either too sparse to support investigations and compliance, or too noisy to be operationally useful.
A risk log can influence priorities, but it does not define the authoritative set of access events and entitlements that must be auditable. A future state process can provide context, yet it is not as precise as access rules for determining what to log. An internal audit report may highlight gaps, but it is not the primary design input compared to formal access control requirements.
NEW QUESTION # 55
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