Generative requests rise during the day.
Limit latency and idle cost.
Choose two operational practices.
Scale on concurrency, queue, p95 latency, and errors, and test warm-up, limits, budget, and failure protection.
Detailed explanation
Capacity follows AI workload and user experience.
Cost spikes and dependency overload are possible.
Automation boundaries are understood.
AI-specific load and impact are missed.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 3.4の推論運用、スケーリング、性能監視を確認する。
Official references
What to confirm
AI固有の負荷指標と費用上限を含むスケーリングを設計できる。
Key points
- Concurrency
- p95
- Budget
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Inference scaling
Increasing or decreasing serving capacity in response to prediction or generation demand.
Concurrency
The number of requests being processed at the same time.