Marctory Interview Questions
The questions to prepare for Marctory interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Design a serving stack that increases concurrency while preserving latency, quality, reliability, and cost targets.
Explain how embeddings represent meaning and how vector search retrieves context for LLM applications.
Compare managed vector databases with custom embeddings and search indices using quality, latency, cost, operations, and safety criteria.
Tests conflict resolution and influence during technical disagreement, including how you challenge decisions and commit after alignment.
Allow or reject Axis Max Life Insurance LLM requests using a per-user sliding-window rate limiter.
Explain a real sales pivot, the judgment behind it, and the measurable outcome.
Design a production LLM evaluation strategy when labeled ground truth is limited or unavailable.
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