Which of the following is BEST for analyzing true positives, true negatives, false positives, and false negatives produced by an AI model?

1. A. Hyperparameter tuning
2. B. Precision
3. C. Confusion matrix
4. D. Recall

Correct Answer: C

Which testing technique is BEST for determining how an AI model makes decisions?

1. A. Red team
2. B. Black box
3. C. White box
4. D. Blue team

Correct Answer: C

Which of the following should be a PRIMARY consideration when defining recovery point objectives (RPOs) and recovery time objectives (RTOs) for generative AI solutions?

1. A. Preserving the most recent versions of data models to avoid inaccuracies in functionality
2. B. Prioritizing computational efficiency over data integrity to minimize downtime
3. C. Ensuring the backup system can restore training data sets within the defined RTO window
4. D. Maintaining consistent hardware configurations to prevent discrepancies during model restoration

Correct Answer: C

A SaaS-based LLM system has risks including prompt injection, data poisoning, and model exfiltration. What is the BEST way to ensure consistent risk treatment?

1. A. Apply control baselines from a recognized industry standard
2. B. Implement an AI threat control matrix mapping threats to controls and assurance
3. C. Focus on post-deployment red teaming
4. D. Rely on vendor audit reports and SLAs

Correct Answer: B

Which of the following would BEST help to prevent the compromise of a facial recognition AI system through the use of alterations in facial appearance?

1. A. Enhancing training data to increase variance
2. B. Monitoring the system for misuse cases
3. C. Fine-tuning the AI model to decrease hallucinations
4. D. Implementing a secondary AI system to confirm images

Correct Answer: A