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ISACA Advanced in AI Risk Sample Questions:

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

2. A risk practitioner is assessing risk in a newly implemented AI system integrated into an organization's business processes. Which of the following is the MOST important consideration for the risk practitioner?

A) Level of existing business process automation prior to AI adoption
B) Criticality and impact of decision-making driven by the AI system
C) Escalation and approval protocols for AI mitigation measures
D) AI expertise within the organization's risk management function

3. An organization plans to deploy an AI system that ingests multiple sources with varying completeness and accuracy. Which of the following is the risk practitioner's BEST recommendation?

A) Use synthetic data augmentation to supplement training and testing.
B) Perform post-implementation assessments to identify data integrity issues.
C) Fine-tune model parameters to accommodate variable inputs.
D) Implement continuous real-time quality assurance (QA) processes.

4. A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?

A) The system is unable to learn from complex situations not encountered during training.
B) The organization uses outside contractors to address the lack of in-house AI knowledge.
C) The deep neural network used by the system contains datasets with proprietary information.
D) The system is used to accelerate just-in-time warehouse processes.

5. Which of the following is the MOST important consideration when determining mitigation controls for an AI system?

A) Prioritizing controls based on the complexity and computational requirements of the AI system
B) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
C) Providing comprehensive AI risk awareness training to security and technical personnel
D) Determining control performance baselines and reporting requirements for regulatory compliance

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