Real AAIA Exams - AAIA Exam Quizzes

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ISACA AAIA Exam Syllabus Topics:

SectionWeightObjectives
AI Governance and Risk33%- AI Governance and Program Management
- Ethics, Regulations, and Standards for AI
- AI Models, Considerations, and Requirements
- AI Risk Management
- Privacy and Data Governance Programs
AI Operations46%- Performance Monitoring and Evaluation
- Third-Party and Supply Chain Risk
- Operational Controls and Readiness
- Incident Management and Resilience
- AI System Lifecycle and Deployment
AI Auditing Tools and Techniques21%- Audit Planning and Design
- Data Quality and Analytics for AI Audit
- AI Audit Outputs and Reporting
- Audit Testing and Sampling Methodologies
- Audit Evidence Collection Techniques

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ISACA Advanced in AI Audit Sample Questions (Q87-Q92):

NEW QUESTION # 87
Which of the following is the MOST important consideration when auditing an organization's process for decommissioning an AI model?

Answer: C

Explanation:
Proper decommissioning requires structured retirement of data access, dependent systems, and integrations, while retaining sufficient records (per retention policy) to support future audits, investigations, or regulatory inquiries.


NEW QUESTION # 88
An IS auditor is reviewing an AI application that uses customer data to refine the organization's marketing outreach strategies. Which of the following should be the auditor's PRIMARY focus during this review?

Answer: B

Explanation:
Since the AI system processes customer data-including potentially personal, sensitive, or behavioral data- the auditor'sprimaryfocus must beprivacy compliance(C). AAIA identifies privacy violations as one of the highest-risk areas for organizations using AI.
The auditor must ensure:
* Data collection follows lawful basis requirements
* Customers gave proper consent (if required)
* Processing adheres to data minimization and purpose limitation
* Storage and retention policies meet regulatory standards
* Data subjects' rights (access, correction, deletion) are protected
* Third-party or cross-border transfers are compliant
Access controls (B) matter but are secondary to ensuring the data is legally collected and processed. AI strategy alignment (A) is governance-related, not risk-critical. Escalation protocols (D) support incident response but come after confirming lawful processing.
References:
AAIA Domain 5: Data Privacy, Lawfulness of Processing
AAIA Domain 1: Privacy and Data Governance Programs


NEW QUESTION # 89
Which control BEST mitigates the risk of a machine learning model being manipulated through adversarial input perturbations?

Answer: C

Explanation:
Adversarial robustness testing deliberately crafts inputs designed to fool the model, allowing teams to measure and harden against evasion attacks before deployment.


NEW QUESTION # 90
Which of the following insider threats involving the use of AI would present the GREATEST risk?

Answer: D

Explanation:
The GREATEST insider threat is exfiltrating sensitive data (D). AI systems often contain rich datasets including personal, financial, operational, and proprietary information. If an insider extracts or leaks this data, the result can be severe legal, regulatory, and reputational consequences.


NEW QUESTION # 91
Which of the following is the GREATEST risk associated with deploying an AI system with ineffective anomaly detection?

Answer: D

Explanation:
Ineffective anomaly detection means the system fails to recognize abnormal patterns in data or model behavior. The GREATEST risk isundetected data poisoning(B), which jeopardizesdata integrityand leads to corrupted, biased, or unsafe AI decisions. AAIA emphasizes that anomaly detection is critical for identifying tampering, data drift, or malicious manipulation.
Configuration inconsistencies (A) are operational issues but far less damaging. Slower drift response (C) can cause performance degradation but is not as severe as undetected poisoning. Reporting standard failures (D) are compliance risks-not as critical as compromised decision integrity.
Thus, undetected poisoning poses thehighest riskdue to its direct impact on model trustworthiness and safety.
References:
ISACA,AAIA Exam Content Outline- Domain 2: AI Operations; Threats and Vulnerabilities in AI.


NEW QUESTION # 92
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