Implement a conversation memory system: buffer, sliding window, summary, and token-budget eviction.
The most-asked hands-on LLM exercise: a chat history that outgrows the context window. What gets scored is not the sliding window, it is the region eviction is never allowed to touch. Below is the version that passes.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
The most-asked hands-on LLM exercise: a chat history that outgrows the context window. What gets scored is not the sliding window, it is the region eviction is never allowed to touch. Below is the version that passes.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
