AAIA Practice Exam & AAIA Valid Study Notes

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ISACA AAIA Exam Syllabus Topics:

Topic	Details
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	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.
Topic 3	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.

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ISACA Advanced in AI Audit Sample Questions (Q180-Q185):

NEW QUESTION # 180
A financial institution's credit-scoring model shows high accuracy overall but performs poorly for a specific demographic subgroup. What should the auditor recommend FIRST?

A. Immediately decommission the model
B. Investigate whether the training data underrepresents that subgroup and reassess fairness metrics
C. Increase the overall accuracy threshold
D. Add more features to the model

Answer: B

Explanation:
Subgroup underperformance often stems from underrepresentation in training data. Root-cause analysis should precede any remediation decision such as retraining or decommissioning.

NEW QUESTION # 181
An insurance company uses an AI model to set premium rates. To align with AI-related policies on fairness, which of the following is the FIRST course of action?

A. Modifying the AI model's training dataset to address potential biases
B. Training alternate AI models and comparing biases with the primary model
C. Reviewing AI model training data to identify potential biases
D. Allowing customers to contest premium rates provided by the AI model

Answer: C

Explanation:
AAIA guidance states thatfairness evaluations begin with the training data, because bias is most commonly introduced through data selection, sampling imbalances, labeling inconsistencies, or historical discrimination embedded in source data.
Thus, thefirstcourse of action is to review training data (option B) to identify:
* Skewed demographic distributions
* Missing or underrepresented populations
* Inappropriate use of sensitive attributes
* Incorrect labels or improperly encoded variables
* Historical decisions that may propagate discrimination
Only after identifying the existence and nature of bias can an organization move on to remediation steps such as retraining (C) or comparing alternate model behavior (A).
Allowing customers to contest premiums (D) is a post-decision remedy, not a fairness evaluation step.
AAIA emphasizes addressing bias at theroot-the training data-before adjusting the model or outputs.
References:
AAIA Domain 5: Fairness, Bias Identification, Ethical AI Principles
AAIA Domain 2: Data Governance and Input Evaluations

NEW QUESTION # 182
When an IS auditor reviews audit evidence gathered by AI, which of the following practices should the auditor perform to ensure the reliability of the evidence?

A. Validate the evidence against source documents.
B. Evaluate the completeness of the evidence collection procedure.
C. Review the AI model card.
D. Interview the organizational management team.

Answer: A

Explanation:
Professional skepticism is a core requirement for auditors using AI tools. Because AI can suffer from "hallucinations" or misinterpretation of data, the auditor must "Validate the evidence against source documents." This involves taking a sample of the AI's findings and manually verifying them against the original records (e.g., invoices, contracts, or logs).

NEW QUESTION # 183
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

A. Regularly conducting AI system performance testing for accuracy
B. Enforcing strict data retention policies to limit storage duration
C. Implementing a transparent data consent management process
D. Applying data clustering techniques to anonymize data sets

Answer: C

NEW QUESTION # 184
An organization seeks to sustain effective AI governance and risk management amid rapidly evolving AI technologies. Which of the following represents the MOST effective course of action?

A. Provide role-specific AI training to technical staff.
B. Conduct comprehensive AI training for senior management.
C. Outsource AI training to external vendors.
D. Integrate continuous AI training into security awareness programs.

Answer: D

Explanation:
Sustaining effective AI governance and risk management requirescontinuous, organization-wide awareness, not just one-off or role-limited training. Option D embeds AI topics (governance, risk, ethics, privacy, and security) into the existingsecurity awareness program, which is already a recurring and mandatory mechanism across the enterprise. This supports ongoing adaptation to rapidly evolving AI technologies, aligns with ISACA's emphasis on integrating AI risk considerations into existing governance and risk frameworks, and ensures that staff at all levels understand their responsibilities.
Options A and C are too narrow in scope, as they target only technical staff or senior management; they help but do not create pervasive, sustainable governance. Option B can supplement internal training, but outsourcing alone does not ensure continuity or alignment with internal policies.
References:
ISACA,AAIA Exam Content Outline- Domain 1: AI Governance and Risk (AI governance, AI training and awareness, program metrics).
ISACA,Advanced in AI Audit Exam Candidate Guide- sections on governance, risk, and professional responsibilities.

NEW QUESTION # 185
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