AWS Certified AI Practitioner Practice Exam

To supplement an Amazon Titan foundation model with relevant private data, what solution should a company use?

1. A. Use a different FM

2. B. Choose a lower temperature value

3. C. Create an Amazon Bedrock knowledge base

4. D. Enable model invocation logging

The correct answer is: C. Create an Amazon Bedrock knowledge base

Using an Amazon Bedrock knowledge base is an effective way to enhance an Amazon Titan foundation model with relevant private data. This approach allows organizations to integrate their proprietary datasets into the model's training or operational framework. By creating a knowledge base within Amazon Bedrock, businesses can provide the model with contextual information that is specific to their domain, thereby improving its relevance and accuracy in generating responses or making predictions based on that data. In contrast, using a different foundation model might not necessarily provide the same level of integration or relevance with the private data the company wishes to utilize. Choosing a lower temperature value typically affects the randomness of the model's output but does not enhance the model's ability to leverage private data. Enabling model invocation logging is useful for monitoring performance and usage patterns, but it does not contribute to the model's capacity to assimilate and utilize private datasets effectively.