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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliability is not consistent. Which of the following BEST mitigates this risk?

A) Updating to the latest model version to accurately reflect real-world data changes
B) Reducing the diversity of the external feeds and the number of classes
C) Establishing data provenance and implementing stage gate quality reviews
D) Weighting historical records over recent samples to limit induced variance

2. Which of the following is the PRIMARY benefit of implementing a comprehensive data pipeline for AI model training, testing, and validation?

A) Automation of complex tasks in early stages of the data pipeline
B) Sharing of governance risk with external data and service providers
C) Enhanced auditability of outputs to provide evidence of regulatory compliance
D) Reduced risk of introducing errors into the final AI model

3. An organization is designing an enterprise dashboard to support governance of its AI program. Which of the following is the risk practitioner's BEST recommendation?

A) Assign dashboard responsibility to the IT function and require the inclusion of AI system availability metrics.
B) Develop AI-specific risk heat maps based on the degree of variance from predicted model training outcomes.
C) Aggregate diverse metrics from all AI life cycle stages to deliver a unified and actionable enterprise view.
D) Designate AI system uptime, availability, and infrastructure health metrics as primary performance indicators.

4. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?

A) Impacts from model changes may be underestimated.
B) Emerging adversarial attack vectors may be overlooked.
C) Likelihood and impact scoring may be more complex.
D) Scenarios may not account for all process interdependencies.

5. A risk practitioner is developing risk scenarios related to successful data poisoning attacks on an AI model used across the organization. Which of the following is the BEST approach to help ensure the scenarios are relevant?

A) Engage key stakeholders in risk scenario development.
B) Perform adversarial testing in a sandbox environment.
C) Create comprehensive data flow diagrams.
D) Gather information on similar attacks impacting industry peers

Solutions: