Q64 — AWS AIF-C01 Ch.1
Question 64 of 100 | ← Chapter 1
Which metric measures the operational efficiency of a running generative AI model?
- A. Customer Satisfaction Score (CSAT)
- B. Training time per epoch
- C. Average response time ✓
- D. Number of training instances
Correct Answer: C. Average response time
Explanation
This question tests understanding of operational AI metrics. Operational efficiency refers to how quickly and consistently a deployed model serves inferences. Average response time directly quantifies latency—the time between input submission and output delivery—and is a core service-level indicator for production AI systems. CSAT (Option A) measures subjective user perception; training time per epoch (Option B) and number of training instances (Option D) relate to development—not runtime—efficiency. Thus, Option C is the correct operational efficiency metric.