Q89 — AWS AIF-C01 Ch.1

Question 89 of 100 | ← Chapter 1

Which metric can measure the efficiency of an AI model?

• A. Customer Satisfaction Score (CSAT)
• B. Training time per iteration cycle
• C. Average response time ✓
• D. Number of training instances

Correct Answer: C. Average response time

Explanation

Average response time measures the duration between an AI model receiving input and generating output—directly reflecting its runtime speed and serving as a core indicator of operational efficiency. CSAT measures customer satisfaction—not computational efficiency. Training time per iteration relates to model development, not inference performance. Number of training instances reflects scale or data volume, not runtime efficiency.