Advanced in AI Audit Exam Prep
The Advanced in AI Audit (AAIA) exam validates ai governance and risk management, ai operations, lifecycle, and control environment. ExamPal publishes 104 premium questions and a 40-question free practice exam mapped across 2 blueprint domains. The local official-details index records: 90; 150 minutes; Multiple choice. Candidates should verify current registration, pricing, and scoring details with the official exam authority before booking.
Exam Details
Exam Overview
Administered by
ISACA
Exam Format
90; 150 minutes; Multiple choice
Passing Score
Verify current official exam guide
Exam Fee
$459 member / $599 non-member
Prerequisite
Review ISACA official page, exam content outline, free practice quiz.
Topics Covered
ExamPal covers all major topics tested on the Advanced in AI Audit exam. Our questions are grounded in official study materials.
AI Governance and Risk Management
Covers enterprise AI governance, policy and control frameworks, risk management, legal/regulatory/ethical compliance, third-party AI risk, and organizational AI strategy and program management. This domain emphasizes oversight structures, accountability, and lifecycle risk treatment for AI initiatives.
AI Operations, Lifecycle, and Control Environment
Covers AI use case initiation, data sourcing and preparation, model development and validation, MLOps and deployment, production monitoring, change management, operational resilience, and human oversight. This domain emphasizes controls throughout the AI lifecycle from design through retirement.
Exam Blueprint
What the Advanced in AI Audit Exam Tests
The exam is divided into 2 domains. Here is what each domain covers and how much weight it carries on the test.
Domain 1 — AI Governance and Risk Management
18% of examCovers enterprise AI governance, policy and control frameworks, risk management, legal/regulatory/ethical compliance, third-party AI risk, and organizational AI strategy and program management. This domain emphasizes oversight structures, accountability, and lifecycle risk treatment for AI initiatives.
- Task 1.1 — Evaluate enterprise AI governance structures
- Assess alignment with strategy and risk appetite
- Define roles across business and control functions
- Review governance forums and escalation paths
- Verify oversight for high-impact use cases
- Task 1.2 — Assess AI policy, standards, and control frameworks
- Evaluate AI policies and procedures
Key references: AAIA official exam guide · ExamPal shared topic tree
Domain 2 — AI Operations, Lifecycle, and Control Environment
37% of examCovers AI use case initiation, data sourcing and preparation, model development and validation, MLOps and deployment, production monitoring, change management, operational resilience, and human oversight. This domain emphasizes controls throughout the AI lifecycle from design through retirement.
- Task 2.1 — Assess AI use case initiation and lifecycle governance
- Define objectives and approval gates
- Establish risk classification before development
- Maintain lifecycle artifacts
- Approve model use and intended outcomes
Key references: AAIA official exam guide · ExamPal shared topic tree
Why study with ExamPal
Everything you need to prepare for and pass the Advanced in AI Audit exam, in one app.
- 104 AAIA premium practice questions
- Free 40-question interactive practice exam
- 2 blueprint domains covered
- 38 glossary terms loaded from the shared terminology pack
- Detailed explanations and per-option rationales for study review
- Domain-level review paths with study guide, glossary, and static question pages
Advanced in AI Audit Exam — Common Questions
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