LLMOps 与生产应用

题集来源:AMIT SHEKHAR(amitshekhariitbhu)收录项目:ai-engineering-interview-questions查看原题集

题目目录

53 道原题
  1. How do you manage secrets and API keys securely in LLM applications?

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  2. Your LLM API has latency spikes during peak hours. How do you stabilize it?

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  3. Your LLM endpoint's p99 latency doubled after a deploy with no model change. How do you diagnose it?

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  4. Your LLM costs are too high in production. How do you reduce costs without degrading quality?

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  5. Your application is hitting LLM provider rate limits during peak hours. How do you handle it?

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  6. Your application depends on one LLM provider. How do you switch providers without downtime?

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  7. Your AI system handles 100 requests/sec but crashes at 5000. How do you scale for concurrent requests?

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  8. A traffic spike brings down your AI system. How do you handle peak traffic?

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  9. One LLM provider outage took down your entire system. How do you eliminate single points of failure?

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  10. Your multi-LLM pipeline fails when one model in the chain breaks. How do you handle orchestration failure?

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