Deep Explanations
312+ Scenario, Model, Company & Project based questions — structured the way senior engineers answer in real interviews
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Four interview styles with searchable question lists, deep explanations, and topic filters.
Fix hallucinations, latency & prod failures
GPT-4o, Claude, Gemini, Llama deep dives
Interview loops from top AI companies
OpenAI · Google · Meta · Anthropic
RAG, Agents, MCP & system design
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13 questions shown
Google's Gemini 1.5 Pro long-context window opens use cases impossible with standard LLMs — whole-codebase analysis, multi-hour video, massive document review. Interviewers test whether you understand real limitations behind the 1M token marketing number.
Read full explanationMedium Gemini/Vertex question on context caching vs RAG trade-offs.
Read full explanation**Session model** WebSocket/WebRTC streaming multimodal input/output.
Read full explanation**Flow** Multimodal intake → diagnose → suggest fix → verify resolved.
Read full explanation**Vertex settings** Safety filters on HATE, HARASSMENT, etc. with threshold BLOCK_ONLY_HIGH vs stricter.
Read full explanation**Hybrid** Traditional OCR for text layer + Gemini for semantic extraction.
Read full explanation**Model choice** Flash for simple; Pro for hard multimodal only when needed.
Read full explanation**Ingestion** Transcode standards; chunk very long media if API limits apply.
Read full explanation**API** Tool declarations with JSON schema; multi-turn functionResponse loop.
Read full explanation**Infrastructure** Managed endpoints vs batch prediction; GPU quotas.
Read full explanation**Mechanism** API retrieves search results, model grounds answer with sources.
Read full explanation**Gemini** Long video understanding, Google ecosystem integration.
Read full explanation**Use cases** Full codebase questions, hours-long media, multi-doc merger analysis.
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