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IIBA IIBA-CCA Exam Overview:

Certification Vendor:IIBA
Exam Name:Certificate in Cybersecurity Analysis (CCA) Exam
Exam Number:IIBA-CCA
Exam Duration:90 minutes
Certificate Validity Period:3 years
Real Exam Qty:75
Exam Price:$250 (IIBA Member), $400 (Non-Member)
Available Languages:English
Passing Score:Not published; result shown as Pass/Fail
Exam Format:Competency-based, Multiple-choice, Knowledge-based
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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IIBA IIBA-CCA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Solution Evaluation: This domain focuses on assessing cybersecurity solutions and their performance against defined requirements, identifying any gaps or limitations, and recommending improvements or corrective actions to maximize solution value.
Topic 2
  • Requirements Analysis and Design Definition: This domain involves analyzing, structuring, and specifying cybersecurity requirements in detail, and defining solution designs that address security needs while meeting stakeholder and organizational expectations.
Topic 3
  • Requirements Life Cycle Management: This domain addresses how to manage and maintain cybersecurity requirements from initial identification through to solution implementation, including tracing, prioritizing, and controlling changes to requirements.
Topic 4
  • Business Analysis Planning and Monitoring: This domain covers how to plan and oversee business analysis activities within a cybersecurity context, including defining approaches, stakeholder engagement plans, and governance of BA work throughout the project lifecycle.
Topic 5
  • Strategy Analysis: This domain covers assessing the current state of an organization's cybersecurity posture, identifying gaps and risks, and defining a future state and change strategy that aligns security needs with business objectives.

IIBA Certificate in Cybersecurity Analysis Sample Questions (Q75-Q80):

NEW QUESTION # 75
What privacy legislation governs the use of healthcare data in the United States?

Answer: C

Explanation:
In the United States, HIPAA, the Health Insurance Portability and Accountability Act, is the primary federal framework that governs how certain healthcare information must be protected and used. In cybersecurity and compliance documentation, HIPAA is most often discussed through its implementing rules, especially the Privacy Rule and the Security Rule. The Privacy Rule establishes when protected health information may be used or disclosed and grants individuals rights over their health information. The Security Rule focuses specifically on safeguarding electronic protected health information by requiring administrative, physical, and technical safeguards.
From a security controls perspective, HIPAA-driven programs typically include risk analysis and risk management, policies and workforce training, access controls based on least privilege, unique user identification, authentication controls, audit logging, integrity protections, transmission security such as encryption for data in transit, and contingency planning such as backups and disaster recovery. HIPAA also expects organizations to manage third-party risk through appropriate agreements and oversight when vendors handle protected health information.
The other options do not fit the question. The Privacy Act generally applies to U.S. federal agencies' handling of personal records, PIPEDA is a Canadian privacy law, and PCI-DSS is an industry security standard focused on payment card data rather than healthcare data. Therefore, HIPAA is the correct legislation for U.S. healthcare data protection requirements.


NEW QUESTION # 76
What is a risk owner?

Answer: D

Explanation:
A risk owner is the individual who is accountable for a specific risk being properly managed to an acceptable level. Accountability means the risk owner has the authority and obligation to ensure the risk is assessed, an appropriate treatment decision is made, and the organization follows through-whether that decision is to mitigate, transfer, avoid, or accept the risk. In many governance models, the risk owner is typically a business or technology leader who "owns" the process, asset, or outcome most affected by the risk, and who can commit resources or approve changes needed to address it.
This is different from the person who performs the mitigation work. A risk owner may delegate tasks to control owners, engineers, or project teams, but they remain accountable for ensuring actions are completed, deadlines are met, residual risk is understood, and exceptions are documented and approved according to policy. The risk owner is also the person who should review changes in risk conditions over time, such as new vulnerabilities, changes in threat activity, or business/process changes that alter impact.
Option C describes an implementer or control owner, not necessarily the accountable party. Option D is simply the discoverer of the risk, and option B is incorrect because risks are often created by circumstances, design choices, or external factors rather than a single person.


NEW QUESTION # 77
Analyst B has discovered multiple attempts from unauthorized users to access confidential data. This is most likely?

Answer: C

Explanation:
Multiple attempts by unauthorized users to access confidential data most closely aligns with activity from a hacker, meaning an unauthorized actor attempting to gain access to systems or information. Cybersecurity operations commonly observe this pattern as repeated login failures, password-spraying, credential-stuffing, brute-force attempts, repeated probing of restricted endpoints, or abnormal access requests against protected repositories. While "user" is too generic and could include authorized individuals, the question explicitly states "unauthorized users," pointing to malicious or illegitimate actors. "Admin" and "IT Support" are roles typically associated with legitimate privileged access and operational troubleshooting; repeated unauthorized access attempts from those roles would be atypical and would still represent compromise or misuse rather than normal operations. Cybersecurity documentation often classifies these attempts as indicators of malicious intent and potential precursor events to a breach. Controls recommended to counter such activity include strong authentication (multi-factor authentication), account lockout and throttling policies, anomaly detection, IP reputation filtering, conditional access, least privilege, and monitoring of authentication logs for patterns across accounts and geographies. The key distinction is that repeated unauthorized attempts represent hostile behavior by an external or rogue actor, which is best described as a hacker in the provided options.


NEW QUESTION # 78
Which of the following would qualify as a multi-factor authentication pair?

Answer: B

Explanation:
Multi-factor authentication requires a user to prove identity using two or more different factor types. Cybersecurity standards describe the main factor categories as something you know (for example, a password or PIN), something you have (for example, a hardware token, smart card, or authenticator app producing a one-time code), and something you are (biometrics such as fingerprint, face, or iris). A valid MFA pair must come from different categories, not just two items from the same category or a mix of authentication with non-authentication concepts.
Option B is correct because it explicitly combines two distinct factor types: a knowledge factor and an inherence factor. This pairing is widely recognized as MFA because compromising one factor does not automatically compromise the other: an attacker who steals a password still needs the biometric, and spoofing a biometric does not provide the secret knowledge factor.
Option A is incorrect because "encryption" is not an authentication factor; it is a protection mechanism for confidentiality and integrity of data. Option D has the same problem: encryption is not a user factor. Option C can represent MFA in many real implementations if "token" is truly a possession factor; however, training materials and exam items often prefer the clearest, unambiguous factor-language pairing, which is why "Something You Know and Something You Are" is the best single answer here.


NEW QUESTION # 79
What risk factors should the analyst consider when assessing the Overall Likelihood of a threat?

Answer: D

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 # 80
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