ISACA AAIA : ISACA Advanced in AI Audit

  • Exam Code: AAIA
  • Exam Name: ISACA Advanced in AI Audit
  • Updated: Oct 09, 2026
  • Q & A: 328 Questions and Answers

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About ISACA AAIA Exam

Wondering if you are fully ready for the AAIA? Test your knowledge with 328 real-world ISACA Advanced in AI Audit exam questions provided by BraindumpsPrep, accessible anywhere via our responsive platforms in 2026.

ISACA AAIA Exam Syllabus Topics:

SectionObjectives
AI Operations
AI Auditing Tools and Techniques
AI Governance and Risk

Frequently Asked Questions About ISACA Advanced in AI Audit

The AAIA exam is a core requirement for the Advanced in AI Audit (AAIA) certification at the Professional level. Earning this validates your skills for credentials like CISA, CIA, CPA.

Candidates will face 55 questions and have 120 minutes to complete the exam. This means you need strict time management. We strongly recommend taking timed practice tests to ensure you can maintain a steady pace without rushing when under actual exam time pressure.

The official examination fee is USD 459 (member), USD 599 (non-member), and you must achieve a score of 65% to pass. Since retaking the test requires paying the full fee again, utilizing accurate practice materials for thorough self-assessment beforehand is crucial to protect your investment.

Candidate requirements include: Must hold an active CISA, CIA, CPA, or equivalent ISACA-approved advanced auditing certification. Please verify all eligibility details on the official certification page before scheduling your appointment.

Registration is handled through official testing partners. The exam is delivered via Computer-based exam delivered via PSI test centers or remote proctoring. You can sign up here:

The vendor suggests following official learning paths to build a foundational understanding:

Once you complete your training, use the 328 practice questions from BraindumpsPrep to refine your exam readiness.

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The syllabus is divided into 3 main domains. Key areas include "AI Auditing Tools and Techniques", "AI Governance and Risk", "AI Operations". For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.

ISACA Advanced in AI Audit Sample Questions:

Question #1

Which of the following presents the MOST significant barrier to generative AI model explainability?

  • A. Rapid evolution of algorithm capabilities
  • B. Insufficient staff experience with generative AI tools
  • C. Lack of alignment between stakeholder groups
  • D. Bias within data sets used for model training
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

Which of the following BEST describes the purpose of a "model validation" function that is independent from the model development team?

  • A. To write the model's source code
  • B. To provide an objective, unbiased assessment of model performance, assumptions, and limitations before and after deployment
  • C. To reduce the cost of development
  • D. To speed up model deployment
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Which of the following is MOST important for an IS auditor to consider when identifying AI risk in a know your customer (KYC) application within a banking organization?

  • A. Benchmarking against peer organizations
  • B. Incident response plan
  • C. Business disruption and financial impact
  • D. Intellectual property leakage and invalidation
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

An organization deploys a complex AI model to support credit risk assessments. Stakeholders find the model's output difficult to interpret. Which of the following BEST improves interpretability?

  • A. Developing documentation and visual tools explaining how the model generates outputs
  • B. Training stakeholders to interpret AI outputs
  • C. Implementing a rule-based system to validate the AI model's decisions
  • D. Reducing the model's complexity
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

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

  • A. Conduct regular training sessions for users on data privacy.
  • B. Regularly back up the AI system's data to a secure, offsite location.
  • C. Ensure the availability of trustworthy data sets.
  • D. Implement multi-factor authentication (MFA) for all users accessing the AI system.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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