GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #56
GENERATIVE-AI-ENGINEER-ASSOCIATE Question #56: Real Exam Question with Answer & Explanation
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Question
A Generative AI Engineer is deploying a customer-facing, fine-tuned LLM on their public website. Given the large investment the company put into fine tuning this model, and the proprietary nature of the tuning data, they are concerned about model inversion attacks. Which of the following Databricks AI Security Framework (DASF) risk mitigation strategies are most relevant to this use case?
Options
- AImplement AI guardrails to allow users to configure and enforce compliance
- BLeverage Databricks access control lists (ACLs) to configure permissions for accessing models
- CUse secure model features with Databricks Feature Store
- DApply attribute-based access controls (ABAC) to limit unauthorized access
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