Advanced Real World Problem Solving Questions

Evaluate the candidates ability to solve complex multi layered technical and design problems by making reasonable assumptions, articulating trade offs, and handling edge cases. Candidates should show how to decompose problems that span networking caching persistence and performance optimization, select architectures and algorithms with explicit trade off analysis such as speed versus simplicity and functionality versus performance, and consider failure modes including network failures device limitations and concurrent access patterns. Strong responses include clear assumption statements, alternative approaches, complexity and cost considerations, testing and validation strategies, and plans to monitor and mitigate operational risks.

HardSystem Design

0 practiced

Design a reprocessing (backfill) system that allows safe replay of petabytes of historical events to recompute derived datasets without impacting live production SLAs. Address isolation (compute/storage), deduplication, testing/backfill dry-runs, and incremental cutover of consumers to new outputs.

MediumTechnical

0 practiced

You are asked to define SLOs and SLIs for a data-serving API (read latency, error rate, freshness). Pick three SLIs, justify thresholds for a 99.9% SLO, describe burn-rate-based alerting policy, and outline an incident response runbook that ties SLO violations to operational steps.

HardSystem Design

0 practiced

Design a global multi-region architecture that delivers low-latency reads (sub-50ms) to users worldwide and supports writes with eventual cross-region reconciliation. Specify replication model, conflict-resolution approach, CDN vs regional caches, and how you'd measure and limit staleness in SLAs.

MediumSystem Design

0 practiced

Design a backpressure and buffering strategy for an event ingestion service that receives 200k events/s but can only process 50k/s downstream. Describe queueing choices (durable vs in-memory), partitioning to parallelize processing, throttling vs dropping policies, and how to signal upstream clients to slow down. Include recovery plan for catching up.

HardSystem Design

0 practiced

Design a GDPR-compliant deletion propagation system so a user's request to be deleted is honored across services, caches, logs, backups, and third-party exports. Describe data discovery, propagation channels, proofs/audits of deletion, and strategies for handling immutable backups and analytics aggregates without violating compliance.

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