quiz.json

{
  "lesson": "19-ai-gateways",
  "title": "AI 网关 —— LiteLLM、Portkey、Kong AI Gateway、Bifrost",
  "questions": [
    {
      "stage": "pre",
      "question": "本课中 AI 网关的核心角色是什么？",
      "options": [
        "一个模型微调服务",
        "一个用于检索的向量数据库",
        "一个仅做日志的 sidecar",
        "一个位于应用与模型供应商之间的进程，把路由、回退、重试、限流、密钥引用、可观测性和护栏整合到同一个 API 之后"
      ],
      "correct": 3,
      "explanation": ""
    },
    {
      "stage": "check",
      "question": "Kong 的基准测试报告 LiteLLM 的规模天花板是多少？",
      "options": [
        "它在 50 RPS 时见顶",
        "它在约 2000 RPS 附近崩溃，占用 8 GB 内存，并在持续负载下出现级联故障",
        "它在超过 10k RPS 后仍线性扩展",
        "LiteLLM 无法被基准测试"
      ],
      "correct": 1,
      "explanation": ""
    },
    {
      "stage": "check",
      "question": "按 Kong 在同等 CPU 上的基准测试，Kong AI Gateway 比 Portkey 和 LiteLLM 快多少？",
      "options": [
        "比 Portkey 快 228%，比 LiteLLM 快 859%",
        "大约快 10% 和 20%",
        "完全相同",
        "比两者都慢"
      ],
      "correct": 0,
      "explanation": ""
    },
    {
      "stage": "check",
      "question": "本课把哪个网关定位为延迟开销 20-40 ms、聚焦护栏 / PII 脱敏 / 越狱检测？",
      "options": [
        "Kong AI Gateway",
        "LiteLLM",
        "Cloudflare AI Gateway",
        "Portkey"
      ],
      "correct": 3,
      "explanation": ""
    },
    {
      "stage": "post",
      "question": "本课认为自托管与托管网关之间做决策的决定性因素（forcing function）是什么？",
      "options": [
        "网关是否开源",
        "支持的供应商数量",
        "每请求成本",
        "数据驻留（data residency）要求"
      ],
      "correct": 3,
      "explanation": ""
    },
    {
      "stage": "post",
      "question": "当 SLA 为 TTFT P99 < 100 ms 时，哪些网关能保持在预算之内？",
      "options": [
        "任何网关",
        "仅 Portkey",
        "仅 LiteLLM",
        "Kong（约 3-8 ms）或 Cloudflare/Vercel 边缘网关（约 1-3 ms）；Portkey 在 20-40 ms 太重了"
      ],
      "correct": 3,
      "explanation": ""
    }
  ]
}