NCA-GENL Question 10
Select 3You are assisting in the deployment of a large language model (LLM) under the supervision of a senior engineer. The model is expected to handle a high volume of requests during peak traffic. Which steps should you prioritize to evaluate the model's scalability, performance, and reliability?
- A
Simulate varying levels of concurrent user requests and measure response times.
- B
Deploy the model directly to production without stress testing to meet tight deadlines.
- C
Monitor GPU utilization and memory usage during load testing.
- D
Manually analyze individual responses instead of automated evaluation metrics.
- E
Test the model's behavior under different failure scenarios, such as node crashes or network latency.
Show answer and explanation
Correct answers: A, C, E
Explanation
To properly evaluate the scalability, performance, and reliability of an LLM deployment, it is essential to test its behavior under realistic conditions, such as varying traffic loads and hardware utilization. Additionally, testing failure scenarios ensures robust and reliable performance in production environments. These steps help identify potential bottlenecks and vulnerabilities before the model goes live.
- A. Correct.
Simulating varying levels of concurrent user requests helps evaluate the scalability of the model by identifying how it performs under different traffic loads.
- B. Incorrect.
Deploying directly to production without stress testing is risky and does not address concerns about scalability, performance, or reliability.
- C. Correct.
Monitoring GPU utilization and memory usage during load testing ensures the hardware resources are efficiently utilized and helps detect bottlenecks.
- D. Incorrect.
Manually analyzing individual responses does not scale well and does not provide insights into overall performance or reliability.
- E. Correct.
Testing the model under different failure scenarios is critical to evaluate its reliability and ability to recover in adverse conditions.