Reserved Capacity Planning Quiz

What you'll be asked

1. What is the primary financial benefit of committing to Reserved Capacity for GenAI inference workloads compared to On-Demand pricing?
2. When planning Reserved Capacity, which metric is most critical to analyze to avoid 'over-provisioning' costs?
3. You are managing a GenAI application with highly volatile, bursty traffic. Which strategy should you combine with Reserved Capacity to optimize costs effectively?
4. If your team releases a model optimization (e.g., quantization or distillation) that reduces inference latency by 50%, what is the immediate impact on your Reserved Capacity strategy?
5. A company has a multi-region GenAI deployment. Why might they choose to split Reserved Capacity across regions rather than consolidating it in a single region?

Answers and explanations come after you submit.