Real ISACA AAIR practice exam questions for easy pass!
Updated: Aug 15, 2026
No. of Questions: 92 Questions & Answers with Testing Engine
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| Certification Vendor: | ISACA |
| Exam Name: | ISACA Advanced in AI Risk⢠Exam |
| Exam Number: | AAIR |
| Exam Price: | US$459 (Member), US$599 (Non-Member) |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Spanish |
| Exam Duration: | 150 minutes |
| Passing Score: | 450 (scaled score, max 800) |
| Real Exam Qty: | 90 |
| Related Certifications: | CISA CISM CRISC CGEIT CDPSE CRMP CRMA CGRC |
| Exam Format: | Multiple-choice, Scenario-based |
| Recommended Training: | AAIR Online Review Course AAIR Virtual Workshop AAIR Review Manual |
| Exam Registration: | Official Registration |
| Sample Questions: | ISACA AAIR Sample Questions |
| Exam Way: | Computer-based; authorized PSI testing centers or remote proctored (remote not available in India, Mainland China, Hong Kong) |
| Pre Condition: | Hold active, good-standing certification: CISA, CISM, CRISC, CGEIT, CDPSE, CRMP, CRMA, CGRC, CISSP, CERP, CRCM, PMI-RMP or other approved credentials |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aair/aair-exam-content-outline |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning |
| Topic 2: AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
1. Which of the following BEST helps to ensure adherence to data minimization principles when using an AI model whose training dataset contains personal information?
A) Data loss prevention (DLP)
B) Role-based access control (RBAC)
C) Pseudonymization
D) Data encryption
2. Which of the following is a risk practitioner's BEST recommendation to establish accountability for AI system outputs and decisions?
A) Regular reviews of resource allocation for AI projects
B) Formal documented role assignments with named owners
C) Centralized governance task force for model decision authority
D) Continuous monitoring and key performance indicators (KPIs)
3. Which of the following is the MOST important consideration when determining mitigation controls for an AI system?
A) Providing comprehensive AI risk awareness training to security and technical personnel
B) Prioritizing controls based on the complexity and computational requirements of the AI system
C) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
D) Determining control performance baselines and reporting requirements for regulatory compliance
4. An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
A) Executive support for technical training and upskilling related to AI can be more effectively obtained.
B) Ethical principles can be added to AI development and usage after deployment.
C) Return on investment (ROI) for new AI services can be evaluated more accurately.
D) The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.
5. A risk practitioner is performing a post-implementation review for an AI system used for credit scoring.
Which of the following is MOST important for the risk practitioner to confirm?
A) Employees find the AI system easy to learn and use.
B) Access token runtime is logged and timestamped.
C) The AI system's decisions are explainable and fair.
D) Performance metrics are frequently communicated to stakeholders.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |
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