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backoff

AI, ML & GenAI interview questions tagged backoff, across every topic.

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Concepts behind "backoff"

The curriculum that explains the ideas these questions test.

Foundational
⚙️ System Design for AI in Production
Rate Limiting, Retries, and BackoffLLM systems rely on rate-limited, sometimes-failing providers, so resilient design is essential. Rate limiting (token bucket) shields your service and enforces per-tenant quotas; retries with exponential backoff and jitter absorb transient failures without hammering a struggling dependency; circuit breakers stop sending requests to a failing service so it can recover. AI, ML, and GenAI engineer interviews probe it because LLM calls are slow, expensive, and flaky, and naive retry logic turns a blip into an outage.
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