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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. Which of the following should be the PRIMARY consideration when determining the priority for restoration of AI systems following a model exfiltration attack?

A) Cost of AI system vulnerability testing and patch deployment
B) Availability of externally vetted datasets for AI model retraining
C) AI-specific expertise among business continuity team members
D) Reliance on the AI system for critical business requirements

2. 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) Continuous monitoring and anomaly detection for data ingestion pipelines
B) Stringent controls over model code and deployment artifacts
C) Enhanced regularization and training techniques to limit the influence of anomalies
D) Data integrity reviews in response to indications that significant model drift has occurred

3. Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?

A) Quantum encryption methods for the protection of proprietary organizational data assets
B) Attack vectors enabled by techniques for malicious alteration of AI system outputs
C) Documentation of business unit readiness for secure adoption of AI for general operations
D) Development and communication of need-based access policies for the use of AI applications

4. 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) Synthetic data augmentation
B) Supervised learning
C) Dataset diversity
D) Data normalization

5. A risk practitioner is reviewing an organization's implementation of a business-critical AI decision system.
Which of the following would be of GREATEST concern?

A) Reliance on conventional third-party security providers for system monitoring
B) Lack of cross-functional AI incident identification and escalation training
C) Risk threshold acceptance criteria that do not require 100% decision accuracy
D) Insufficient scenario-based testing of system failure modes and recovery procedures

Solutions: