2026 AAIA Latest Exam Pattern | Pass-Sure ISACA AAIA Updated Dumps: ISACA Advanced in AI Audit

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ISACA AAIA Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Audit (AAIA) Exam
Exam Number:AAIA
Exam Format:Multiple-choice, Remote proctoring or test center, Closed-book, Computer-based
Passing Score:65%
Available Languages:English
Real Exam Qty:55
Certificate Validity Period:Not publicly specified (requires ongoing CPE maintenance after certification)
Exam Duration:120 minutes
Related Certifications:CISA
CPA
CIA
Exam Price:USD 459 (member), USD 599 (non-member)
Recommended Training:Official AAIA Training Course Providers
ISACA AI Audit Training Resources
Exam Registration:ISACA AAIA Certification Page
Sample Questions:ISACA AAIA Sample Questions
Exam Way:Computer-based exam delivered via PSI test centers or remote proctoring
Pre Condition:Must hold an active CISA, CIA, CPA, or equivalent ISACA-approved advanced auditing certification
Official Syllabus URL:https://www.isaca.org/credentialing/aaia

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ISACA AAIA the latest exam practice questions and answers

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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 (Q268-Q273):

NEW QUESTION # 268
An IS auditor identified that an AI model was optimized to approve more loans to meet growth targets, which led to a rise in defaults and expected losses. Which action will BEST address this situation?

Answer: C

Explanation:
This scenario describes a "misaligned objective," where the AI is optimizing for a short-term goal (growth) at the expense of long-term stability (risk). In AI development, particularly in Reinforcement Learning or objective-based models, the "Reward Function" defines what the model considers "success." To correct the issue, management must "Align the model reward function with long-term risk metrics," such as default rates or profitability over time. This ensures the AI makes decisions that balance growth with risk appetite.


NEW QUESTION # 269
An IS auditor is planning an audit covering a vendor-provided and supported AI model used by the organization to predict train track maintenance. Which of the following is the BEST approach for the IS auditor to test the model?

Answer: C

Explanation:
When auditing vendor-provided (third-party) AI models, the organization often lacks access to the underlying source code, neural network architecture, or weights. In such cases, the AAIATM manual recommends "Black Box Testing" as the most practical and effective approach. This involves testing the model based solely on its inputs and outputs to verify its predictive accuracy, fairness, and reliability without needing internal technical details.


NEW QUESTION # 270
What should be done FIRST when an AI-powered chatbot starts giving incorrect financial advice after a backend API change?

Answer: B

Explanation:
When an AI system begins giving incorrect financial advice, the FIRST step is to suspend the chatbot (D) to prevent ongoing harm. AAIA emphasizes protecting users from unsafe decisions as the top priority in AI operations.
Suspension allows the organization to:
Stop distribution of harmful advice
Assess impact and identify faulty API dependencies
Prevent regulatory or customer harm
Conduct root-cause analysis safely


NEW QUESTION # 271
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?

Answer: D

Explanation:
AAIA emphasizes that transparency and interpretability require clear explanations of how the model functions, what features drive predictions, and how decisions are derived.
Creating documentation and visual interpretability tools (option C) provides:
Feature importance breakdowns
Decision pathway visualizations
Examples of prediction reasoning
Plain-language explanations for nontechnical stakeholders
Evidence that can be validated during audits


NEW QUESTION # 272
A bank is deploying an AI model trained on customer transactions in a multi-cloud environment. Which of the following BEST supports regulatory compliance regarding data security and privacy?

Answer: D

Explanation:
In a multi-cloud environment, data often traverses various geographical regions. For financial institutions, " Data residency and sovereignty " are the most critical compliance factors, ensuring that data is stored and processed within the jurisdictions required by law (e.g., GDPR or local banking acts). Failure to control where data resides can lead to severe legal penalties. While " Privacy by Design " and " DPIA " are essential methodologies, they do not specifically address the physical and legal location of data across cloud providers.
Sovereignty controls ensure the bank maintains control over its data assets and complies with specific cross- border data transfer regulations.


NEW QUESTION # 273
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