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Updated: Oct 14, 2026
No. of Questions: 182 Questions & Answers with Testing Engine
Download Limit: Unlimited
The reliable and latest AAIR Quiz Torrent Materials with the best accurate contents is helping candidates to pass for sure!
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ISACA AAIR Exam Overview:
| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Risk (AAIR) Certification Exam |
| Exam Number: | AAIR |
| Exam Duration: | 150 minutes |
| Real Exam Qty: | 90 |
| Related Certifications: | CISA CRISC CISM CGEIT CGRC CDPSE CISSP CRMA |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Exam Format: | Multiple-choice, Computer-based testing, Proctored exam (test center or remote where available) |
| Available Languages: | Chinese (Simplified), English, Spanish |
| Recommended Training: | AAIR Online Review Course (ISACA) AAIR QAE Practice Database (ISACA Learning Resources) AAIR Virtual Workshop (ISACA Training) |
| Exam Registration: | ISACA AAIR Official Certification Page ISACA Certification Registration (MyISACA portal) |
| Sample Questions: | ISACA AAIR Sample Questions |
| Exam Way: | Computer-based exam via PSI testing centers or remote proctoring (availability varies by region; some regions require test center only). |
| Pre Condition: | 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. |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aair |
ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
| Topic 2: AI Life Cycle Risk Management | - AI model and data risk identification - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks | |
| Topic 3: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI risk monitoring and continuous improvement - AI governance communication and reporting |
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the MOST important consideration when selecting controls for AI systems?
- A. Alignment with approved policy and oversight frameworks
- B. Key performance indicators (KPIs) for output accuracy
- C. AI expertise requirements for staff implementing controls
- D. Integration with existing IT security controls and processes
Correct Answer: A 🗳️
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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. Criteria for initiation of automated breach containment measures
- 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. Centralization of AI system failover mechanisms under a single cloud service provider
Correct Answer: B 🗳️
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Which of the following is the risk practitioner ' s FIRST course of action upon learning that an AI model has been providing responses that are outside predefined thresholds for accuracy?
- A. Document the anomaly for inclusion in periodic accuracy reviews.
- B. Inform the AI development team and request a technical review.
- C. Update the risk register with mitigation strategies for addressing the issue.
- D. Notify designated AI governance owners for decision making.
Correct Answer: D 🗳️
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A financial organization is developing an AI model for credit risk assessment. Which of the following is MOST important to ensure the training data supports accurate and unbiased outcomes?
- A. Data normalization
- B. Synthetic data augmentation
- C. Dataset diversity
- D. Supervised learning
Correct Answer: C 🗳️
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Which of the following AI capabilities would BEST enable a forecasting system to accurately predict the point at which specific equipment components are likely to fail?
- A. Recommendation of replacement products
- B. Post-defect identification of complex root causes
- C. Dynamic inventories of spare equipment parts
- D. Real-time analysis of sensor monitoring data
Correct Answer: D 🗳️
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