System Architecture Communication and Documentation Questions

Assess the candidate ability to describe, document, and communicate system architecture both visually and verbally. Candidates should present what a system does and who uses it, identify major components and how they interact, show data flow and integration points, and explain critical architectural decisions and trade offs. Interviewers expect clear diagrams using standard conventions that show high level views, component interactions, and deployment topology, accompanied by concise narrative documentation. Strong answers include multiple views tailored to the audience, labeled diagrams, and justification of design choices while avoiding unnecessary implementation detail. Candidates should be able to discuss scaling strategies, reliability and operational considerations including failure modes, migration paths, observability, and deployment considerations. The scope includes common architectural building blocks such as microservices, application programming interfaces, databases, caching layers, and message buses, as well as consistency and availability implications and service to service communication patterns, and the connection between technical choices and business context.

HardSystem Design

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Describe how you would document and diagram a migration path from CPU-based model serving to GPU-accelerated serving, covering data ingestion, image/model serialization, artifact storage, CI/CD, canaries, and rollback. Explain the key operational checks and safety notes you'd include for SREs.

HardTechnical

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An exec asks: 'Why can't we just deploy models as Docker containers behind a load balancer and call it a day?' Provide a structured one-page response that covers architectural, operational, cost, and scalability considerations, and list the diagrams you would attach to support your argument.

EasyTechnical

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Name three common failure modes specific to ML model serving (for example: model binary corruption, feature schema drift, hardware GPU OOM) and explain how you would document each in a runbook and in the architecture diagram or operational docs.

HardTechnical

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A compliance auditor requests documentation showing how model training and inference artifacts are versioned and traced from training code to deployed model binary and logging of every inference. Describe the diagram elements and documentation artifacts you would produce to satisfy audit: include registry, artifact hashes, deployment manifests, and access logs.

HardTechnical

0 practiced

Draft an architecture diagram and written guidance for handling backpressure in a pipeline where the model-serving tier intermittently slows down due to heavy batch scoring. Show where to insert buffers, queue-size limits, and circuit-breakers and document how clients should be informed (429 vs long polling).

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