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Architectural Decision Making Questions

Assess how a candidate thinks through major system and technical decisions, including selecting architectures, technologies, and technical strategies. Expect discussion of evaluation criteria such as performance, reliability, scalability, complexity, cost, development velocity, team capability, maintenance burden, and long term evolution. Candidates should explain specific past decisions with clear articulation of the options considered, trade offs accepted, risk mitigation, observed consequences over time, what they would change with current knowledge, and evidence of nuanced judgment when balancing competing priorities. For senior and staff levels, this includes demonstrating influence across teams when making architecture calls, recognizing organization level costs of choices, and surfacing hidden operational or people costs.

MediumSystem Design
48 practiced
Design a blue/green deployment strategy for stateful services that includes non-breaking database schema migrations and the ability to roll back application changes safely. Describe traffic shifting, schema compatibility patterns (expand-contract), and verification steps.
MediumSystem Design
30 practiced
Design a disaster recovery (DR) strategy for a multi-region SaaS platform required to survive an entire region outage with RPO = 15 minutes and RTO = 1 hour. Document replication approach, DNS/failover automation, data consistency choices, and runbook/test strategy.
MediumTechnical
24 practiced
You're evaluating adoption of a service mesh (e.g., Istio) in a microservices environment. Describe the technical benefits, operational costs, rollout considerations, and a migration plan. Which metrics and signals would indicate the service mesh is delivering value?
MediumSystem Design
23 practiced
You're migrating a large monolith payment platform to microservices. Outline a phased migration strategy, the criteria you would use to select the first services to extract, the data migration approach, testing strategy (including canaries), and a rollback plan. Consider team boundaries and SLO preservation.
MediumTechnical
45 practiced
You're comparing messaging backbones (Apache Kafka, managed pub/sub, RabbitMQ) for an event-driven architecture. Describe evaluation criteria: throughput, durability, ordering, retention, latency, operational complexity, and ecosystem tooling. Which would you choose for a high-throughput analytics pipeline and why?

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