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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the MOST important benefit of deploying continuous monitoring and automated anomaly detection for AI models in production?

A) Timely identification of adversarial intrusions and unauthorized parameter changes
B) Automated risk register and vulnerability database updates
C) Improved alignment of model outputs and behavior with organizational strategic goals
D) Enhanced interpretability and transparency of model decisions

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

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

3. Which of the following would be of GREATEST concern to a risk practitioner reviewing the testing and validation of an AI-driven technical support system?

A) Insufficient encryption of data at rest and in transit
B) Excessive dependence on manual sampling
C) Infrequent incorporation of updated training datasets
D) Inaccurate outputs resulting from model drift

4. Which of the following is the GREATEST risk when an organization lacks clearly defined accountability mechanisms for AI outputs and decisions?

A) Reduced availability
B) Intellectual property exposure
C) Legal liability
D) Ineffective model training

5. Which of the following is the GREATEST risk when an organization relies only on adversarial training to protect a private AI model in a testing environment?

A) Inefficient model training cycles
B) Increased likelihood of exposing proprietary algorithms
C) Overfitting to limited datasets
D) Presence of unaddressed system vulnerabilities

Solutions: