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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI governance communication and reporting - Enterprise AI risk program design - AI risk monitoring and continuous improvement - AI risk assessment and treatment strategies |
| Topic 2: AI Life Cycle Risk Management | - AI bias, drift, transparency, and control evaluation - AI model and data risk identification - AI development, deployment, and monitoring risks | |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
ISACA AAIR Exam FAQs: Read This Before You Register
The ISACA Advanced in AI Risk blueprint comprises 3 domains. The headline areas: AI Risk Program Management (42%), AI Life Cycle Risk Management, and AI Risk Governance and Framework Integration (37%). The complete outline — every domain, every weight — is in the syllabus section above; let it decide where your study hours go.
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The AAIR exam — formally the ISACA Advanced in AI Risk — is how ISACA certifies that you can apply its technologies in professional scenarios; passing earns you the Advanced in AI Risk certification, positioned at the Professional level. In an anxious, competitive job market, a vendor-issued credential is one of the few signals employers trust at a glance. It also connects naturally to CISA, CISM, CRISC, CGEIT, CDPSE, CISSP, CRMA, CGRC as a follow-on step.
The AAIR exam packs 90 questions into 150 minutes. That ratio makes pacing a testable skill in itself: linger too long on one item and easier points expire unanswered. Build the habit before it matters — run timed, full-length mocks in the ValidVCE desktop or online test engine, practice flagging and returning, and make time pressure feel ordinary.
Yes — and deciding after the trial is exactly how we prefer it. ValidVCE publishes a free PDF demo of the AAIR materials so you can judge the question quality and verified answers firsthand. A full purchase then includes 365 days of free updates, and if the product expires, the update service renews at a 50% discount from your member zone.
Yes — for the ISACA Advanced in AI Risk, ISACA lists these training resources:
- AAIR Online Review Course (ISACA)
- AAIR Virtual Workshop (ISACA Training)
- AAIR QAE Practice Database (ISACA Learning Resources)
Training explains the concepts; repetition under exam conditions makes them reliable. Add 182 practice questions from ValidVCE to whichever course you choose, and your preparation covers both sides of the test.
Candidates must hold one of ISACA or equivalent recognized certifications such as CISA, CISM, CRISC, CGEIT, CDPSE, CISSP, CRMA, CGRC, or other approved risk/security/audit designations, and have relevant IT risk or advisory experience.
Vendor rules do get revised, so before you lock in an exam date, verify the latest requirements on the official ISACA exam page.
ISACA Advanced in AI Risk Sample Questions:
To reinforce organization-wide ethical norms and risk recognition, which of the following is MOST important to integrate into AI user training?
- A. External regulations and compliance checklists
- B. Ethical risk indicators and reporting
- C. Cyber threat identification and AI incident handling
- D. Acceptable use policy and acknowledgment
Correct Answer: B 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
Which of the following is MOST important to mitigate risk when integrating third-party AI services into an organization's supply chain?
- A. Ensuring compatibility with existing organizational systems
- B. Conducting staff training on AI data handling practices
- C. Assigning contractual accountability for AI controls
- D. Centralizing AI decision authority within the IT function
Correct Answer: C 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
Which of the following is the PRIMARY risk associated with the use of unsupervised learning methods to train AI models?
- A. Lack of labeling and explainability
- B. Poor performance on complex datasets
- C. Limited generalization to new and unseen data
- D. Inability to balance classes via oversampling
Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
An organization plans to deploy a generative AI system that processes sensitive personal data across multiple countries with varying privacy laws. Which of the following is the BEST course of action to manage legal and regulatory exposure?
- A. Adopt uniform global policies and implement strong encryption of personal data for all cross-border transfers.
- B. Remediate regulatory gaps in each jurisdiction through iterative post-deployment updates and model retraining.
- C. Tailor organizational controls to relevant statutory requirements and preserve audit trails to prove adherence.
- D. Prioritize protection of intellectual property and restrict disclosure of model operations to safeguard assets.
Correct Answer: C 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
Which of the following information is MOST important to add to an organizational business continuity plan (BCP) when adopting a customer-facing AI solution?
- A. Centralization of AI system failover mechanisms under a single cloud service provider
- B. Secure access to alternate resources, multi-region failover, and sufficient load balancing
- C. Post-incident audits of AI system recovery times and accuracy metrics
- D. Criteria for initiation of automated breach containment measures
Correct Answer: B 🗳️
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