AWS Certified AI Practitioner Practice Exam

How can companies securely use large language models (LLMs) on Amazon Bedrock?

1. A. Design clear prompts and use least privilege IAM roles

2. B. Enable AWS Audit Manager for automatic model evaluation jobs

3. C. Enable automatic model evaluation jobs on Amazon Bedrock

4. D. Use Amazon CloudWatch Logs for model explainability

The correct answer is: A. Design clear prompts and use least privilege IAM roles

The choice of designing clear prompts and using least privilege IAM roles is the most comprehensive approach to securely leveraging large language models (LLMs) on Amazon Bedrock. Understanding the significance of each component of this choice helps clarify its effectiveness. Clear prompts are essential because they guide the LLM in generating targeted and contextually relevant responses. When prompts are well-designed, they minimize the potential for generating unintended outputs that could lead to security risks, such as the exposure of sensitive information or offensive content. Furthermore, clear prompts help ensure that the model understands the user’s intent accurately, which can bolster both security and efficiency in interactions. Implementing least privilege IAM (Identity and Access Management) roles is equally crucial in a security context. This principle involves granting users and applications only the permissions they absolutely need to perform their functions. By restricting access to necessary resources, organizations can significantly reduce the risk of unauthorized access or misuse of sensitive data. This layered security approach is fundamental in cloud environments, especially when handling complex and powerful tools like LLMs, where unintended permissions can lead to data breaches or misuse. In summary, the combination of clearly defined prompts and the application of least privilege IAM roles presents a robust strategy for mitigating security risks, facilitating safe interactions, and ensuring that the