Architecture and Technical Trade Offs Questions

Centers on system and solution design decisions and the trade offs inherent in architecture choices. Candidates should be able to identify alternatives, clarify constraints such as scale cost and team capability, and articulate trade offs like consistency versus availability, latency versus throughput, simplicity versus extensibility, monolith versus microservices, synchronous versus asynchronous patterns, database selection, caching strategies, and operational complexity. This topic covers methods for quantifying or qualitatively evaluating impacts, prototyping and measuring performance, planning incremental migrations, documenting decisions, and proposing mitigation and monitoring plans to manage risk and maintainability.

HardTechnical

36 practiced

You lead a small product and engineering team with limited SRE support. A proposal suggests aggressively decomposing the system into many microservices. Evaluate whether this decomposition is worth the operational overhead. Present criteria for deciding, alternative approaches (e.g., modular monolith), and a phased plan aligned with team capability.

EasyTechnical

37 practiced

You own a product currently implemented as a monolith. Describe how you'd decide whether to keep it as-is or migrate to microservices. List the product, engineering, and business signals you'd look for, the metrics you'd track to justify migration, and the top three risks you'd need to mitigate during migration.

HardTechnical

33 practiced

Discuss trade-offs when implementing end-to-end encryption across microservices for sensitive data. Explain impacts on observability, search and analytics, debugging, and developer workflow. Propose mitigation strategies that preserve user privacy while enabling necessary operational capabilities.

HardTechnical

37 practiced

Design an architecture roadmap that balances simplicity and extensibility for a platform expected to grow unpredictably. As PM, propose a 0-6 month, 6-18 month, and 18+ month plan, define decision criteria for when to refactor, and list architectural fitness functions you would use to avoid premature optimization while keeping options open.

HardSystem Design

30 practiced

Design a rollout strategy using feature flags and canary releases for a multi-service change that impacts payments and notifications. As PM, list gating criteria before increasing exposure, required observability, automated rollback triggers, and stakeholder communication steps to ensure safe deployment.

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