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Isaca AAIA Exam Syllabus

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Before starting your AAIA exam preparation, it is recommended to review the complete Isaca Advanced in AI Audit exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free AAIA questions. We also provide premium AAIA practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Vendor
AAIA
Exam Code
275
Total Questions
3
Total Exam Domains

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AAIA EXAM QUESTIONS

Isaca AAIA Exam Objectives

Section 1: AI GOVERNANCE AND RISK
Weight:
33%
This domain demonstrates your ability to advise stakeholders on implementing AI solutions to meet organizational strategic goals, creating ethical and responsible AI policy and governance practices, and mitigating implementation risks, including leading practices in data governance, privacy and security.
  • A: AI Models, Considerations, and Requirements
  • B: AI Governance and Program Management
  • C: AI Risk Management
  • D: Privacy and Data Governance Programs
  • E: Leading Practices, Ethics, Regulations, and Standards for AI
Section 2: AI OPERATIONS
Weight:
46%
This domain confirms your skill in assessing an organization’s risk profile and the rewards and consequences of AI implementations while ensuring the organization is operationally ready for successful adoption of this powerful technology.
  • A: DATA MANAGEMENT SPECIFIC TO AI
  • B: AI SOLUTION DEVELOPMENT METHODOLOGIES AND LIFECYCLE
  • C: CHANGE MANAGEMENT SPECIFIC TO AI
  • D: SUPERVISION OF AI SOLUTIONS (E.G., OUTPUTS, IMPACTS, AND DECISIONS)
  • E: TESTING TECHNIQUES FOR AI SOLUTIONS
  • F: THREATS AND VULNERABILITIES SPECIFIC TO AI
  • G: INCIDENT RESPONSE MANAGEMENT SPECIFIC TO AI
Section 3: AI AUDITING TOOLS AND TECHNIQUES
Weight:
21%
This domain focuses on optimizing audit outcomes through innovation while highlighting your knowledge of audit techniques tailored to AI systems and your use of AI-enabled tools to streamline audit efficiency and provide faster, quality insight.
  • A:AUDIT PLANNING AND DESIGN
  • B:AUDIT TESTING AND SAMPLING METHODOLOGIES
  • C:AUDIT EVIDENCE COLLECTION TECHNIQUES
  • D:AUDIT DATA QUALITY AND DATA ANALYTICS
  • E:AI AUDIT OUTPUTS AND REPORTS
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