Databricks Generative AI Engineer Associate Question 229
Select 3You are tasked with deploying a large language model (LLM) application that uses Foundation Model APIs. The application must handle high user traffic efficiently while ensuring security and scalability. Which of the following actions should you take to serve the LLM application effectively?
- A
Use a REST API gateway to manage incoming requests and route them to the Foundation Model API.
- B
Embed the Foundation Model API key directly in the client-side application for easy access.
- C
Implement caching mechanisms to store model responses for frequently asked queries.
- D
Scale the application using cloud-based serverless functions to handle variable traffic loads.
- E
Avoid monitoring API usage metrics as Foundation Models typically include unlimited requests.
Show answer and explanation
Correct answers: A, C, D
Explanation
To effectively serve an LLM application that leverages Foundation Model APIs, it is essential to use a REST API gateway for traffic management, implement caching to optimize performance and reduce costs, and use serverless functions for scalability. Avoid practices like embedding API keys on the client side, as they compromise security, and always monitor API usage to stay within limits and control costs.
- A. Correct.
Using a REST API gateway helps in managing traffic, ensuring security, and routing requests efficiently. This is a best practice when serving applications using APIs.
- B. Incorrect.
Embedding the Foundation Model API key in the client-side application exposes it to security vulnerabilities, such as unauthorized access. It is not recommended.
- C. Correct.
Caching frequently asked queries can significantly reduce latency and API usage costs, improving user experience and efficiency.
- D. Correct.
Cloud-based serverless functions provide scalability and cost-effectiveness, making them ideal for handling variable traffic in LLM applications.
- E. Incorrect.
Monitoring API usage metrics is crucial, as Foundation Model APIs usually have usage limits or costs associated with them. Ignoring this can lead to unexpected outages or high costs.