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Systems Thinking and Architecture Questions

Approaching technical problems with holistic systems thinking that accounts for interactions across services, people, processes, and business goals. Includes evaluating trade offs between scalability, reliability, performance, security, cost, and operability; reasoning about system boundaries, feedback loops, emergent behavior, and long term technical debt; designing socio technical systems and aligning architecture with organizational structure; and communicating architectural trade offs and decision rationale. Questions probe the candidate's ability to reason about cross cutting impacts, plan iterative architectural evolution, and make principled design choices under uncertainty.

HardTechnical
22 practiced
You must communicate a controversial architecture decision to retire a legacy system and move to a new platform that increases short-term cost but promises long-term velocity. Draft the key points and structure of a presentation to engineers and executives: include technical rationale, risk mitigation plan, migration timeline, cost-benefit analysis, and success metrics to monitor post-migration.
MediumTechnical
19 practiced
You're migrating a monolithic metadata service used by analysts into microservices to improve deployment speed. Describe a safe, step-by-step migration plan that minimizes downtime and coupling, including how you manage schema changes, testing, data ownership, and rollback strategies.
EasyTechnical
32 practiced
Describe the circuit breaker pattern and how it protects a data platform service that depends on unreliable downstream APIs. Which metrics would you monitor to decide when to open or close the breaker, and what fallback behaviors would you implement for callers?
EasyTechnical
18 practiced
You need to present an architecture decision record (ADR) to both engineers and business stakeholders for multi-region deployment of a data API. Outline the one-page ADR: problem statement, options considered, chosen design, trade-offs, rollback plan, and success metrics.
MediumTechnical
21 practiced
Design a rollout plan for a risky change to a service that serves critical downstream analytics consumers. Include use of feature flags, canary releases, metrics to observe, rollback triggers, and the communication plan with consumers and support teams.

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