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ISACA AAIA Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Audit
Exam Number:AAIA
Related Certifications:CISA
CPA
ACCA
CIA
FCCA
Exam Format:Multiple Choice, Remotely Proctored, Computer-Based
Exam Duration:120 minutes
Available Languages:English
Passing Score:65%
Real Exam Qty:90
Sample Questions:ISACA AAIA Sample Questions
Exam Way:Online remotely proctored computer-based exam
Pre Condition:Candidates must hold an active CISA certification or another qualified audit-related designation such as CIA, CPA, ACCA, FCCA, Canadian CPA, Australian CPA/FCPA, or Japanese CPA.
Official Syllabus URL:https://www.isaca.org/credentialing/aaia

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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.
Topic 2
  • AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
Topic 3
  • AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.

ISACA Advanced in AI Audit Sample Questions (Q136-Q141):

NEW QUESTION # 136
An organization plans to implement an AI search and chatbot solution provided by an external vendor. Which of the following is MOST important for an IS auditor to confirm?

Answer: B

Explanation:
For third-party (SaaS) AI solutions, the organization relies on the vendor's internal controls to ensure data security, privacy, and model integrity. The AAIATM manual highlights that the most critical confirmation is "Whether the vendor can provide an independent third-party attestation" (such as a SOC 2 Type II or ISO/IEC 42001 report). This provides the organization with reliable evidence that the vendor's AI governance and security practices have been verified by an external auditor.


NEW QUESTION # 137
For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history. Verifying which of the following would BEST validate the effectiveness of this process?

Answer: D

Explanation:
The effectiveness of an AI-driven business process--such as categorizing customers for promotional campaigns--depends on how well it supports defined business objectives. The AAIATM Study Guide recommends validating that AI methodology aligns with intended outcomes as part of performance auditing.
"Effectiveness is best measured by assessing whether the AI logic contributes meaningfully to business goals. Output alignment with organizational KPIs or campaign strategies provides clear evidence of functional success."


NEW QUESTION # 138
Which use case for an AI model to be used by a food delivery service would pose ethical risk to the organization?

Answer: C

Explanation:
Using AI to make employment decisions such as driver termination or retention introduces significant ethical risks. If based solely on performance metrics without context or human review, such systems can lead to unfair treatment or discrimination--violating principles of transparency and due process.
"Automating workforce decisions must be approached cautiously to prevent discriminatory outcomes. Ethical AI governance requires oversight when AI is used for employment-impacting decisions."


NEW QUESTION # 139
Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?

Answer: B

Explanation:
To assess compliance with intellectual property (IP) and data rights, the IS auditor must review documented data usage agreements that specify ownership, licensing, consent, and limitations of use. The AAIATM Study Guide underscores the importance of verifying that the data used to train or feed AI models is obtained and utilized within legal and contractual boundaries.
"Auditors must review data usage agreements to validate whether the organization has appropriate rights to use, distribute, or transform data inputs, especially where third-party or sensitive data is involved."


NEW QUESTION # 140
Which of the following is the BEST way to support the development and design of high-risk AI systems?

Answer: C

Explanation:
The AAIA™ Study Guide emphasizes that the foundation of any high-performing and ethical AI system lies in the quality and integrity of its data. For high-risk AI systems, such as those used in healthcare, finance, or criminal justice, it is essential to base models on trustworthy data. This ensures reliable predictions, reduces bias, and mitigates risk.
"Trustworthy datasets are characterized by accuracy, completeness, consistency, and ethical sourcing. In high- risk AI applications, ensuring data quality at every stage is crucial to system reliability and compliance." While backups, user training, and MFA are important for security and operational resilience, they do not address the core challenge of ensuring model accuracy and fairness at the development and design phase.
Therefore, option C is the most effective practice.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Fundamentals and Technologies," Subsection: "Data Governance and Management"


NEW QUESTION # 141
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