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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:Remote proctoring or test center, Computer-based, Multiple-choice, Closed-book
Passing Score:65%
Exam Duration:120 minutes
Certificate Validity Period:Not publicly specified (requires ongoing CPE maintenance after certification)
Available Languages:English
Related Certifications:CISA
CIA
CPA
Exam Price:USD 459 (member), USD 599 (non-member)
Real Exam Qty:55
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 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 (Q117-Q122):

NEW QUESTION # 117
An IS auditor is performing an inventory audit for a manufacturing organization. Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?

Answer: D


NEW QUESTION # 118
Which of the following testing techniques would BEST validate whether an organization's data governance program effectively ensures data quality and integrity for AI model training and deployment?

Answer: B

Explanation:
Assessing data lineage provides insight into the origin, flow, and transformation of data across its lifecycle, which is crucial for validating data governance. The AAIA™ Study Guide states that data lineage is essential to ensure the accuracy, consistency, and trustworthiness of data used in training AI models.
"Traceability of data sources is a core tenet of effective data governance. Data lineage validation ensures data quality, prevents unauthorized modifications, and maintains auditability." BIA (A) focuses on impact, not data quality. Reviewing SDLC (B) is broad and may not highlight data- specific risks. Penetration testing (C) addresses security, not governance. Therefore, D is the best method.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Data Quality, Integrity, and Governance Practices"


NEW QUESTION # 119
What is the MOST appropriate control to address the risk of an AI chatbot providing harmful medical advice to users?

Answer: D

Explanation:
Guardrails that restrict the chatbot's scope, combined with disclaimers and escalation paths to qualified professionals, mitigate the risk of harm from unqualified AI-generated medical guidance.


NEW QUESTION # 120
Which of the following BEST supports reproducibility of AI model results during an audit?

Answer: A

Explanation:
Reproducibility requires that the exact code, data snapshot, hyperparameters, and environment used to produce a result can be retrieved and rerun -- this is achieved through rigorous versioning practices (MLOps).


NEW QUESTION # 121
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?

Answer: C


NEW QUESTION # 122
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