AWS Certified AI Practitioner (AIF-C01) — Question 80

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.
How should the AI practitioner prevent responses based on confidential data?

Answer options

• A. Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
• B. Mask the confidential data in the inference responses by using dynamic data masking.
• C. Encrypt the confidential data in the inference responses by using Amazon SageMaker.
• D. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

Correct answer: A

Explanation

The correct answer is A because deleting the custom model and removing the confidential data from the training dataset ensures that the model is not influenced by sensitive information, thus preventing any inference responses tied to that confidential data. Options B, C, and D do not eliminate the risk, as they only modify how the data is presented or stored rather than removing the source of the confidential data from the model entirely.