Exam Generative-AI-Leader Topic 3 Question 24 Discussion
Actual exam question for Google's Generative-AI-Leader exam
Question #: 24
Topic #: 3
Question #: 24
Topic #: 3
A global travel booking platform named VistaVoyage is developing a generative AI system to identify payment fraud across about 45 million reservations each day. The team is concerned that adversaries may make small tweaks to inputs so the model incorrectly treats fraudulent behavior as legitimate. At what point in the machine learning lifecycle should robust protections against these adversarial tactics be established to preserve security?
Suggested Answer: C Vote an answer
Adversarial robustness needs to be designed into the model from the start and then sustained in production. During training you can harden models with adversarial training, robust data augmentation, regularization, and careful evaluation against adversarial and out of distribution test sets. In production you should continuously monitor for drift, anomalies, and suspicious input patterns and you should feed incidents back into retraining so the system improves over time.
This lifecycle approach ensures protections evolve with attacker tactics and with data and model changes.
This lifecycle approach ensures protections evolve with attacker tactics and with data and model changes.
by Gilbert at Jul 09, 2026, 08:14 AM
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