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Core
Concurrency and Thread Safety
When multiple threads touch shared mutable state, interleavings cause race conditions: lost updates, torn reads, corrupted data. Thread safety means correctness under any interleaving. Locks/mutexes enforce mutual exclusion (pessimistic); optimistic concurrency checks for conflicts at commit and retries (compare-and-swap, version columns). Atomic operations avoid locks for simple updates. Deadlock arises when locks are acquired in conflicting orders. Applied-AI interviews probe it because inference servers, batching queues, and shared caches are all concurrent, and the classic double-increment bug still shows up in production.
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PRACTICE THIS IN REAL QUESTIONS
System Design for AI in ProductionDesign a distributed rate limiter for an API serving millions of requests per second.→RAG & Agent System DesignDesign a production RAG system over 10M documents serving ~1,000 QPS at sub-second latency.→Coding & DSAImplement a thread-safe token-bucket rate limiter for concurrent API and tool-calling traffic.→System Design for AI in ProductionYour model looks great offline but drops CTR 2% in production. How do you ship safely and find the cause?→System Design for AI in ProductionDesign a large-scale recommendation feed (retrieval then ranking) for 100M users.→System Design for AI in ProductionDesign a real-time fraud detection system where fraud is under 1% of transactions.→
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