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| Certification Vendor: | IIBA |
|---|---|
| Exam Name: | Certificate in Cybersecurity Analysis (CCA) Exam |
| Exam Number: | IIBA-CCA |
| Passing Score: | Not published; result shown as Pass/Fail |
| Exam Format: | Competency-based, Knowledge-based, Multiple-choice |
| Available Languages: | English |
| Real Exam Qty: | 75 |
| Exam Price: | $250 (IIBA Member), $400 (Non-Member) |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Recommended Training: | IIBA CCA Exam Handbook IIBA Endorsed Education Providers |
| 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 # 60
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 # 61
Where SaaS is the delivery of a software service, what service does PaaS provide?
Answer: A
Explanation:
Cloud service models are commonly described as stacked layers of responsibility. Software as a Service delivers a complete application to the customer, while the provider manages the underlying platform and infrastructure. Platform as a Service sits one level below SaaS: it provides the managed platform needed to build, deploy, and run applications without the customer having to manage the underlying servers and most core system software.
A defining feature of PaaS is that the provider supplies and manages key platform components such as the operating system, runtime environment, middleware, web/application servers, and often supporting services like managed databases, messaging, scaling, and patching of the platform layer. The customer typically remains responsible for their application code, configuration, identities and access in the application, data classification and protection choices, and secure development practices. This shared responsibility model is central in cybersecurity guidance because it determines which security controls the provider enforces by default and which controls the customer must implement.
Given the answer options, Operating System is the best match because it is a core part of the platform layer that PaaS customers generally do not manage directly. Load balancers and storage can be consumed in multiple models, including IaaS and PaaS, and subscriptions describe a billing approach, not the technical service layer. Therefore, option D correctly reflects what PaaS provides compared to SaaS.
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NEW QUESTION # 62
Which capability would a solution option need to demonstrate in order to satisfy Logging Requirements?
Answer: C
Explanation:
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.
NEW QUESTION # 63
What is an external audit?
Answer: A
Explanation:
An external audit is an independent evaluation performed by a party outside the organization to determine whether security-related activities, controls, and evidence meet defined requirements. Those requirements are typically drawn from laws and regulations, contractual obligations, and recognized standards or control frameworks. The defining characteristics are independence and attestation: the auditor is not part of the operational team being assessed and provides an objective conclusion about compliance or control effectiveness.
Unlike a vulnerability-focused review (often called a security assessment or technical audit) that primarily seeks weaknesses to remediate, an external audit emphasizes whether controls are designed appropriately, implemented consistently, and operating effectively over time. External auditors usually test governance processes, risk management practices, policies, access control procedures, change management, logging and monitoring, incident response readiness, and evidence of periodic reviews. They also validate documentation and sampling records to confirm that what is written is actually performed.
Option B describes an internal assurance activity, such as self-assessment or internal audit preparation, where the security team checks its own implementation. Option C is closer to a financial or procurement review and is not the typical definition of an external security audit. Therefore, the best answer is the one that clearly captures an independent party reviewing security activities to ensure compliance with established criteria
NEW QUESTION # 64
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: B
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 # 65
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