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ISACA AAIA Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Audit
Exam Number:AAIA
Real Exam Qty:90
Exam Format:Remotely Proctored, Computer-Based, Multiple Choice
Passing Score:65%
Exam Duration:120 minutes
Related Certifications:FCCA
CIA
ACCA
CISA
CPA
Available Languages:English
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 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
  • 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.

ISACA Advanced in AI Audit Sample Questions (Q167-Q172):

NEW QUESTION # 167
What is the GREATEST risk of relying solely on aggregate accuracy as the primary success metric for a deployed AI model?

Answer: C

Explanation:
Aggregate accuracy can be high overall while performance varies significantly for specific subpopulations or edge cases -- a key reason disaggregated and fairness-specific metrics are also needed.


NEW QUESTION # 168
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?

Answer: D

Explanation:
The AAIA™ Study Guide highlights that generative AI tools can significantly enhance audit productivity, especially in content generation tasks. Drafting executive summaries-condensing complex findings into clear, concise formats-is a high-impact use case that benefits from generative AI's natural language generation capabilities.
"Generative AI can be leveraged by auditors to automate reporting sections, such as executive summaries, ensuring consistency and saving time without compromising content clarity." While A, C, and D are valid uses, B delivers the most value by expediting a time-intensive and high-level reporting task in complex audits.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Generative AI Applications in Audit Reporting"


NEW QUESTION # 169
An AI team is developing a natural language processing (NLP) chatbot to assist customers. The collected data includes informal speech and multiple languages. Which pre-processing step is MOST important?

Answer: D

Explanation:
In NLP, the quality of training depends on the " Standardization " of input data. Informal language (slang, typos) and mixed languages create high " noise, " making it difficult for the model to learn semantic meaning.
Using dictionaries to normalize text and translation services to create a coherent dataset is the most foundational step. While tokenization (Option C) and entity recognition (Option B) are standard parts of the NLP pipeline, they cannot function effectively if the underlying text is inconsistent or fragmented. Removing non-English data (Option D) would result in a non-representative model that fails to meet the needs of a diverse customer base.


NEW QUESTION # 170
An IS auditor uses an internally developed generative AI tool to prepare a status update for audit stakeholders.
Which of the following is the auditor's MOST appropriate course of action?

Answer: C

Explanation:
Auditors using AI tools to generate reports or updates must ensure the output is reliable, factually accurate, and complete. As per the AAIA™ Study Guide, accountability for audit content remains with the auditor, even when generative AI assists with content creation. Therefore, verifying the completeness and correctness of AI-generated content is the primary responsibility.
"AI-generated audit outputs must be validated against source data and professional standards. The auditor must critically assess AI contributions and not rely on them without human oversight." Options A and C focus on output consistency, not accuracy. Option D is part of the communication phase, not validation. Therefore, B is the auditor's core duty.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Auditor Responsibility and Validation in AI-Aided Tasks"


NEW QUESTION # 171
What is the MAIN audit risk of "shadow AI" (AI tools adopted by business units without IT/security approval)?

Answer: C

Explanation:
Shadow AI bypasses formal risk assessment, data governance, and security review, creating blind spots for data leakage, compliance violations, and unmanaged model risk.


NEW QUESTION # 172
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