Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 34 discussion

Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.: Designing clear and specific prompts helps prevent unintended or manipulative outputs from the large language models (LLMs), ensuring secure and controlled use. Configuring IAM roles and policies using least privilege access ensures that only authorized users and services can access and invoke the models, limiting potential security risks.

Using IAM with least privilege will secure the LLM on the Amazon Bedrock.

A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access. This option addresses two key aspects of secure LLM usage on Amazon Bedrock: Prompt Engineering: Clear and specific prompts reduce the risk of unintended or harmful outputs. Well-defined prompts help guide the model's responses and minimize the potential for bias or misinformation. IAM Access Control: Implementing strong access controls is crucial to protect sensitive data and prevent unauthorized access to the LLM. By using IAM roles and policies with least privilege access, you can limit permissions to only the necessary actions, reducing the risk of security breaches.

A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access is the best approach for companies to securely use large language models on Amazon Bedrock, as it emphasizes both prompt clarity and access control.