Isaca AAIR Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF
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Isaca AAIR Sample Questions – Free Practice Test & Real Exam Prep
Question #1
An organization discovers that its AI vendor has a subcontractor processing training data in a
jurisdiction with inadequate data protection laws. This arrangement was not disclosed during
vendor due diligence. The organization is subject to GDPR. What is the GREATEST risk and
MOST appropriate response?
A. Risk: vendor reputation. Response: Notify customers of the data processing arrangements.
B. Risk: GDPR violation through unauthorized international transfer of personal data.Response: Immediately assess transfer compliance, require the vendor to remediate, andconsider contract suspension until compliant.
C. Risk: Data quality degradation. Response: Require the subcontractor to demonstrate datahandling certifications.
D. Risk: Competitive intelligence leakage. Response: Conduct a data classification review.
Answer: B
Explanation:
Option A: A is incorrect. Vendor reputation is a secondary concern. GDPR compliance is the primary
legal risk. Customer notification may be required but is not the immediate priority.
Option B (CORRECT): B is correct. Under GDPR, transferring personal data to jurisdictions without
adequate protection without appropriate safeguards is a violation (Articles 44–49). The organization is
the data controller and bears accountability. Immediate assessment, vendor remediation, and potential
suspension are the required governance actions.
Option C: C is incorrect. Data quality is a model performance concern, not the greatest risk in this
scenario.
Option D: D is incorrect. Competitive intelligence leakage is a confidentiality risk but is not the greatest
risk given the GDPR implications.
Question #2
Which of the following BEST describes 'risk transfer' as an AI risk treatment option?
A. Moving the AI system to a different business unit to reassign accountability.
B. Shifting financial consequences of an AI risk to a third party, such as through insurance orcontractual indemnification.
C. Reducing AI risk exposure through the implementation of preventive controls.
D. Eliminating an AI system to remove the associated risk entirely.
Answer: B
Explanation:
Option A: A is incorrect. Moving a system to a different business unit reassigns management, not risk —
the organizational risk remains.
Option B (CORRECT): B is correct. Risk transfer shifts the financial consequences of a risk to a third
party — typically through insurance or contractual indemnification. It does not eliminate the risk or its
operational impact, but reduces the organization's financial exposure.
Option C: C is incorrect. Implementing preventive controls describes risk mitigation, not risk transfer.
Option D: D is incorrect. Eliminating a system to remove risk describes risk avoidance, not risk transfer.
Question #3
An organization is developing its AI risk reporting framework for the board. What information is
MOST important to include in board-level AI risk reporting?
A. Technical details of AI model architectures and training parameters.
B. AI risk exposure levels, trends, significant incidents, risk appetite compliance status, andrecommended governance actions.
C. Detailed audit logs of all AI model outputs.
D. Vendor SLA compliance statistics.
Answer: B
Explanation:
Option A: A is incorrect. Technical architecture details are not appropriate for board-level reporting —
they are for technical governance committees.
Option B (CORRECT): B is correct. Board-level reporting should provide strategic insight: overall risk
exposure and trends, incidents requiring board awareness, whether the organization is operating within
risk appetite, and governance decisions needed from the board. Strategic perspective, not technical
detail.
Option C: C is incorrect. Audit logs are operational records, not board-level reporting content.
Option D: D is incorrect. Vendor SLA statistics are operational metrics appropriate for management
reporting, not primary board-level AI risk content.
Question #4
An organization's AI system for automated trading generates anomalous trades during a marketvolatility event, causing significant financial loss. Post-incident analysis reveals the model was nottested against extreme market conditions. Which control would have been MOST effective inpreventing this incident?
A. Real-time monitoring with automatic trading halt triggers when model outputs exceeddefined thresholds.
B. Stress testing the AI model against historical market crisis scenarios before deployment.
C. Implementing a 24-hour delay on AI-generated trades for human review.
D. Diversifying AI trading models across multiple vendors.
Answer: A
Explanation:
Option A (CORRECT): A is correct. While stress testing (B) would have helped identify the vulnerability,
the MOST effective prevention in an automated trading environment is a real-time kill switch with
predefined trading halt thresholds. This is a preventive control that stops anomalous trading at the
moment it occurs, limiting financial exposure regardless of model failure mode.
Option B: B is incorrect. Stress testing is a validation control that would have identified the gap before
deployment but, in this scenario, the incident has already occurred. The question asks what control
would be most effective at preventing the financial loss — a real-time halt is more effective than a predeployment test alone.
Option C: C is incorrect. A 24-hour delay defeats the purpose of automated trading and is operationally
impractical.
Option D: D is incorrect. Vendor diversification addresses concentration risk, not the model testing and
live circuit-breaker gaps that caused this incident.
Question #5
An organization implements an AI system that monitors employee communications for policyviolations. An employee files a complaint alleging the monitoring is invasive and not disclosed inthe employment agreement. What is the PRIMARY governance risk?
A. The AI system may produce inaccurate monitoring results.
B. The organization may have failed to meet transparency, consent, and privacy obligationsregarding employee surveillance.
C. The employee may share confidential information externally.
D. The AI monitoring system may be susceptible to adversarial manipulation.
Answer: B
Explanation:
Option A: A is incorrect. Accuracy is a performance concern, not the primary governance risk in this
complaint scenario.
Option B (CORRECT): B is correct. Deploying employee monitoring AI without disclosure and consent
creates significant privacy, employment law, and governance risks. Transparency and informed consent
are fundamental requirements for employee monitoring systems under most regulatory frameworks.
Option C: C is incorrect. Employee data leakage is a security concern unrelated to the governance
failure described.
Option D: D is incorrect. Adversarial manipulation is a security risk, not the primary governance issue
raised by the employee complaint.
Question #6
An organization's AI vendor provides a service level agreement (SLA) promising 99.9% uptime foran AI-powered customer service system. During an incident, the system is down for 12 hours,causing significant customer complaints and lost revenue. What risk management lesson does thisincident MOST highlight?
A. SLA-based contractual guarantees are insufficient substitutes for internal AI resiliencecontrols and business continuity planning.
B. The organization should negotiate a higher SLA of 99.99% with the vendor.
C. The vendor should be replaced with a more reliable provider.
D. AI systems should never be used for customer-facing services.
Answer: A
Explanation:
Option A (CORRECT): A is correct. SLAs establish accountability and financial penalties but do not
prevent downtime or protect the business during an outage. The organization's own resilience controls
(failover, manual fallback, BCP) are essential complements to SLA protections. Over-reliance on SLAs is
a third-party risk management failure.
Option B: B is incorrect. A higher SLA reduces contractual exposure but does not address the
operational resilience gap.
Option C: C is incorrect. Vendor replacement may or may not be appropriate — the core lesson is about
organizational resilience, not vendor selection.
Option D: D is incorrect. Avoiding AI for customer-facing services is an extreme and unsupported
conclusion from a single incident.
Question #7
An organization's AI governance committee reviews a report showing that 40% of theorganization's AI systems have no defined risk owner, 25% have not been assessed in over twoyears, and 15% have open high-severity risks with no treatment plans. The committee must decideon priority actions. What should be the FIRST priority?
A. Conduct comprehensive new risk assessments for all systems.
B. Assign risk owners to the 40% of systems lacking ownership — because withoutaccountability, no other governance action can be effectively executed.
C. Develop treatment plans for the 15% of systems with open high-severity risks.
D. Report the governance gaps to the board and request additional budget.
Answer: B
Explanation:
Option A: A is incorrect. Conducting assessments is important, but assessments without assigned
owners will have no one to act on the findings.
Option B (CORRECT): B is correct. Accountability is the foundational governance prerequisite. Without
defined risk owners for 40% of systems, there is no responsible party to execute risk assessments,
implement treatments, or maintain oversight. Ownership must be established first for all other
governance actions to be effective.
Option C: C is incorrect. Addressing high-severity open risks is critical, but these systems may be
among the 40% without owners — creating treatment plans without owners is ineffective.
Option D: D is incorrect. Board reporting and budget requests are appropriate actions, but the
immediate operational priority is establishing accountability.
Question #8
Which of the following BEST describes the purpose of AI red-team testing?
A. To assess the financial return on investment of AI systems.
B. To simulate adversarial attacks and misuse scenarios to identify vulnerabilities in AI systemsbefore they can be exploited.
C. To review AI system code quality and development standards.
D. To validate AI model accuracy on production data.
Answer: B
Explanation:
Option A: A is incorrect. ROI assessment is a financial analysis activity, not red-team testing.
Option B (CORRECT): B is correct. Red-team testing involves simulating adversarial attacks, misuse
scenarios, and edge cases to proactively identify vulnerabilities in AI systems. It is a proactive security
and risk control that discovers weaknesses before malicious actors do.
Option C: C is incorrect. Code review is a software quality control, distinct from adversarial testing.
Option D: D is incorrect. Production data accuracy validation is model validation, not red-team testing.
Question #9
An AI risk manager conducts a Business Impact Analysis (BIA) for an AI-powered supply chain
optimization system. The BIA should prioritize which factor FIRST?
A. Cost of retraining the AI model after failure.
B. Maximum tolerable downtime (MTD) and recovery time objectives (RTO) based on businessimpact of the system being unavailable.
C. Technical architecture of the AI system for backup planning.
D. Number of users who depend on the system daily.
Answer: B
Explanation:
Option A: A is incorrect. Retraining costs are a recovery cost, not the primary BIA priority.
Option B (CORRECT): B is correct. BIA prioritizes business impact quantification — specifically
maximum tolerable downtime and recovery time objectives. These determine how critical the system is
to the business and drive all subsequent continuity planning decisions.
Option C: C is incorrect. Technical architecture informs recovery planning but is not the primary BIA
concern.
Option D: D is incorrect. User count is one input to impact assessment but does not by itself determine
business criticality.
Question #10
During an AI risk assessment, a risk manager uses a quantitative approach and calculates the
Annual Loss Expectancy (ALE) for an AI system failure scenario as $2.4M. The cost of
implementing a control to reduce this risk is $800K annually. However, the control would only
reduce the probability of loss by 40%. Should the control be implemented based purely on
quantitative analysis?
A. Yes — any reduction in risk justifies control implementation.
B. No — the control cost ($800K) exceeds the risk reduction benefit (40% of $2.4M = $960Knet risk reduction). Wait — the benefit is $960K which exceeds $800K. Yes, implement.
C. No — quantitative analysis alone is insufficient for AI risk decisions without qualitativefactors.
D. Yes — but only if the remaining 60% residual risk is within the risk appetite.
Answer: D
Explanation:
Option A: A is incorrect. Cost-benefit must be assessed. Not all risk reductions justify control cost.
Option B: B is incorrect. While the math in option B reaches the right numeric conclusion, it does not
address the critical residual risk and risk appetite requirement — making D a more complete governance
answer.
Option C: C is incorrect. Quantitative analysis is valid and useful. The issue is not the method's
sufficiency but the need to also consider residual risk appetite.
Option D (CORRECT): D is correct. Quantitatively the control appears justified (cost-benefit: $960K risk
reduction vs $800K cost). However, after implementing the control, 60% of the risk remains (ALE still
~$1.44M). Risk appetite alignment must be confirmed — if the residual risk exceeds appetite, additional
controls are required. Risk quantification and risk appetite alignment must both be satisfied.
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