Updated: Aug 03, 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 Duration: | 150 minutes |
| Related Certifications: | CISA CISM CRISC CGEIT CDPSE CRMP CRMA CGRC |
| Passing Score: | 450 (scaled score, max 800) |
| Certificate Validity Period: | 3 years |
| Exam Price: | US$459 (Member), US$599 (Non-Member) |
| Available Languages: | English, Spanish |
| Exam Format: | Multiple-choice, Scenario-based |
| Real Exam Qty: | 90 |
| 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 Risk Program Management | 42% | - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Regulatory Compliance and Legal Considerations - AI Trustworthiness, Ethical and Societal Implications - AI Ownership, Oversight, and Accountability - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management |
1. Which of the following BEST mitigates risk associated with evasion attacks on AI models?
A) Feature importance weighting
B) API rate limiting
C) Anomaly detection
D) Predictive analytics
2. Which of the following is the PRIMARY benefit of defining and documenting a RACI matrix for AI solution development and deployment?
A) It facilitates collaboration between operational and technical teams on AI decision making.
B) It strengthens governance over AI technical development activities and enterprise architecture (EA).
C) It establishes responsibility and decision authority for AI project outcomes and risk management.
D) It consolidates AI governance authority and oversight within senior organization leadership.
3. Which of the following AI system considerations BEST mitigates risk associated with model drift?
A) Restricting the use of automated data validation to low-risk models
B) Implementing strong access controls based on roles and responsibilities
C) Conducting regular retraining with new relevant datasets
D) Maintaining existing levels of variance within datasets during preprocessing
4. An organization uses multiple external data sources to train its AI models. Which of the following is the risk practitioner's BEST recommendation to protect the organization from data poisoning attacks?
A) Data integrity reviews in response to indications that significant model drift has occurred
B) Enhanced regularization and training techniques to limit the influence of anomalies
C) Continuous monitoring and anomaly detection for data ingestion pipelines
D) Stringent controls over model code and deployment artifacts
5. An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization's defined tolerance. Which of the following is the BEST course of action?
A) Accept the inherent risk and continue to monitor performance against organizational thresholds.
B) Allocate more resources for additional human review cycles to identify accuracy and bias in model outputs.
C) Adjust the model temperature to its lowest possible value and conduct comprehensive retesting.
D) Take the system offline until the model has been retrained and produces more accurate outputs.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |
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