Technical Depth Verification Questions
Tests genuine mastery in one or two technical domains claimed by the candidate. Involves deep dives into real world problems the candidate has worked on, the tradeoffs they encountered, architecture and implementation choices, performance and scalability considerations, debugging and failure modes, and lessons learned. The goal is to verify that claimed expertise is substantive rather than superficial by asking follow up questions about specific decisions, alternatives considered, and measurable outcomes.
HardSystem Design
0 practiced
Design a multi-tenant ML inference platform that must serve per-tenant models with isolation, handle up to 10k QPS per model, minimize cold-start latency, provide per-tenant model versioning and A/B testing, and maintain high GPU utilization. Include orchestration, model registry, caching, batching, and security for tenant separation.
EasyTechnical
0 practiced
Explain the difference between latency and throughput in distributed systems. Give two concrete scenarios where you would prioritize optimizing latency over throughput and describe the specific metrics (for example p50/p95/p99, requests-per-second, error-rate) you would monitor to justify that decision.
MediumTechnical
0 practiced
You claim to have built a stream deduplication pipeline handling 1M events/sec. Describe the in-memory/data-structure approaches you'd use to deduplicate within a sliding time window using limited memory: consider Bloom filters, counting Bloom, cuckoo filters, sharding, and TTL eviction. Explain false-positive trade-offs and tuning.
EasyTechnical
0 practiced
When using a hash table that resolves collisions via chaining, what are the average and worst-case time complexities for lookup/insert/delete? Describe one practical production technique to reduce the worst-case behavior and how you would detect that worst-case is occurring in production.
EasyTechnical
0 practiced
Explain the difference between ACID and BASE database properties. For a multi-tenant billing system where correct invoicing is critical, which properties would you prioritize and why? Describe one architecture choice to enforce that property.
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