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[General] AAIA Exam Assessment - AAIA Certification Exam

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【General】 AAIA Exam Assessment - AAIA Certification Exam

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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 (Q64-Q69):NEW QUESTION # 64
Which of the following is the BEST way to support the development and design of high-risk AI systems?
  • A. Implement multi-factor authentication (MFA) for all users accessing the AI system.
  • B. Conduct regular training sessions for users on data privacy.
  • C. Regularly back up the AI system's data to a secure, offsite location.
  • D. Ensure the availability of trustworthy data sets.
Answer: D
Explanation:
The AAIA™ Study Guide emphasizes that the foundation of any high-performing and ethical AI system lies in the quality and integrity of its data. For high-risk AI systems, such as those used in healthcare, finance, or criminal justice, it is essential to base models on trustworthy data. This ensures reliable predictions, reduces bias, and mitigates risk.
"Trustworthy datasets are characterized by accuracy, completeness, consistency, and ethical sourcing. In high- risk AI applications, ensuring data quality at every stage is crucial to system reliability and compliance." While backups, user training, and MFA are important for security and operational resilience, they do not address the core challenge of ensuring model accuracy and fairness at the development and design phase.
Therefore, option C is the most effective practice.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Fundamentals and Technologies," Subsection: "Data Governance and Management"

NEW QUESTION # 65
Which of the following should be of GREATEST concern to an IS auditor when reviewing ethical considerations for an AI solution?
  • A. The decision-making process is unexplainable.
  • B. The solution documentation is still in draft.
  • C. The solution is hosted on a shared cloud environment.
  • D. The model has not been retrained recently.
Answer: A
Explanation:
TheGREATEST concernis when the AI system'sdecision-making process is unexplainable(A), especially for high-impact or regulated decisions. AAIA stresses that explainability is essential for accountability, fairness assessments, compliance, and public trust. If decisions cannot be explained, the organization cannot validate fairness, detect bias, or justify outcomes to regulators or affected individuals.
Cloud hosting (B) is manageable through standard controls. Retraining frequency (C) affects performance but not core ethics. Draft documentation (D) is a procedural issue, not an ethical barrier. Unexplainable decision logic is thefoundational ethical risk.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Ethical and Legal Considerations in AI (explainability, accountability).

NEW QUESTION # 66
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?
  • A. Autoregressive sequencing model
  • B. Predictive analytics
  • C. Natural language processing
  • D. Robotic process automation (RPA)
Answer: C
Explanation:
Natural Language Processing (NLP) enables systems to understand, summarize, and extract relevant insights from unstructured text data such as contracts, emails, or reports. The AAIA™ Study Guide recognizes NLP as the optimal tool for document review during audit planning or risk assessment phases.
"NLP techniques can efficiently process large volumes of documentation, highlight key clauses, and identify inconsistencies or risk indicators. This enhances audit productivity and thoroughness." While RPA (A) automates repetitive tasks, it doesn't interpret content. Predictive analytics (C) forecasts trends, and autoregressive models (B) generate sequences, not summarize documents.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "NLP Applications in Audit Planning and Risk Identification"

NEW QUESTION # 67
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?
  • A. Share and review the results with management.
  • B. Compare results with a publicly available generative AI tool to ensure outputs are similar.
  • C. Regenerate the results to ensure similar outputs are provided.
  • D. Assess whether the information provided is complete and accurate.
Answer: D
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 # 68
Which of the following is the MOST important course of action for an organization prior to allowing end users to utilize an AI tool?
  • A. Determine the impact to the disaster recovery plan (DRP).
  • B. Implement baseline performance metrics.
  • C. Ensure a cybersecurity insurance clause is in place to include the use of AI.
  • D. Develop an AI policy with guidelines on appropriate use.
Answer: D

NEW QUESTION # 69
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