AWS Certified Cloud Practitioner
Get started today
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix. Which solution scope gives the company the MOST ownership of security responsibilities?
Exam-Like
Community
RRitesh
A
Using a third-party enterprise application that has embedded generative AI features.
B
Building an application by using an existing third-party generative AI foundation model (FM).
C
Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
D
Building and training a generative AI model from scratch by using specific data that a customer owns.
Explanation:
Option D is CORRECT because building and training a generative AI model from scratch using specific data that a customer owns gives the company the most ownership of security responsibilities. In this scenario, the company is responsible for the entire AI lifecycle, including data security, model training, deployment, and monitoring, making it the most comprehensive in terms of security responsibility.
Option A is INCORRECT because using a third-party enterprise application with embedded generative AI features involves the least security responsibility, as the third-party provider typically handles most of the security aspects.
Option B is INCORRECT because building an application using an existing third-party generative AI foundation model (FM) means the company shares security responsibilities with the third-party provider, but it does not have full ownership.
Option C is INCORRECT because refining an existing third-party generative AI foundation model by fine-tuning it with business-specific data involves some security responsibilities, particularly related to data management and model refinement, but it is less comprehensive than building and training a model from scratch.
Comments
Loading comments...