Exam C1000-185 Topic 1 Question 234 Discussion

Actual exam question for IBM's C1000-185 exam
Question #: 234
Topic #: 1

You are working on a generative AI model that helps customers generate personalized responses to legal queries. The model is trained on a large corpus of publicly available legal documents. However, users often input personal information when interacting with the AI.
What is the most effective strategy to mitigate the risk of exposing personal information in the model's responses?

A. Apply a rule-based content filter to the model's outputs to remove any phrases that appear to contain personal information. B. Use a privacy-preserving tokenization method to mask personal data in the input before feeding it into the model. C. Limit the model's ability to retain memory of previous user inputs by resetting its state after every query. D. Train the model on anonymized data to ensure that personal information is never present in the training set.

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