AWS Certified AI Practitioner Practice Exam

When deploying a conversational chatbot based on a fine-tuned model, which two compliance capabilities should be considered?

1. A. Auto scaling inference endpoints

2. B. Threat detection

3. C. Data protection

4. D. Cost optimization

The correct answer is: B. Threat detection

When deploying a conversational chatbot, particularly one that may involve sensitive information or user data, it is essential to prioritize compliance capabilities that ensure the security and privacy of that data. Threat detection is crucial for identifying and mitigating potential security incidents. This capability helps in monitoring for unauthorized access, abuse, and other threats that could compromise the integrity of the chatbot and the safety of user interactions. Being vigilant against threats allows organizations to take proactive measures to protect both the application and its users, ensuring that the deployment adheres to relevant security standards and regulations. This is especially important in industries that handle sensitive information, such as healthcare or finance, where compliance with data protection regulations is mandatory. Data protection is also important and is inherently related to compliance, but the focus on detecting threats emphasizes a proactive approach to maintaining the security of the chatbot during operation. Other aspects, like auto-scaling inference endpoints and cost optimization, while relevant for performance and financial management, do not directly impact compliance in the same way as ensuring that potential threats are detected and addressed.