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Technical Vision and Infrastructure Roadmap Questions

This topic assesses a candidate's ability to define a multi year technical vision for infrastructure, platform, and systems and to translate that vision into a practical execution roadmap. Core skills include evaluating technology choices and architecture evolution, planning migration and modernization paths, anticipating scalability and capacity needs, and balancing cost performance with resilience and operational reliability. Candidates should demonstrate approaches to managing technical debt, sequencing investments across quarters and releases, estimating resources and timelines, establishing measurable infrastructure goals and key performance indicators, and implementing governance and standards. Discussion may also cover reliability and observability, security and compliance considerations, trade offs between short term stability and long term rearchitecture, prioritization to enable business outcomes, and communicating technical trade offs to both technical and non technical stakeholders.

MediumTechnical
0 practiced
You expect 3x traffic growth over the next 18 months. Describe your capacity forecasting approach: what data sources you would use (telemetry, business forecasts), statistical or heuristic models, how you would account for burstiness and tail traffic, how much buffer to provision, and how to translate the forecast into budget and procurement actions.
EasyBehavioral
0 practiced
Tell me about a time you defined an infrastructure standard or guideline that measurably improved reliability or developer velocity. What was the problem, how did you design and roll out the standard, what resistance did you encounter and how did you measure success?
MediumTechnical
0 practiced
Forty percent of your cloud spend is traced to inefficient resource usage identified by rightsizing reports. Outline an initiative to reduce spend by 25% without impacting availability. Include measurement strategy, automation steps, pilot scope, timeline, stakeholder incentives, and risk mitigation.
MediumSystem Design
0 practiced
Design a cost-aware autoscaling policy for a Kubernetes-based web tier that balances performance and cost. Consider horizontal pod autoscaling, vertical resizing, queue-based scaling, bursty traffic patterns, and using spot instances. Define the metrics, thresholds, cooldowns, fallback behaviors, and PDBs you would use.
HardSystem Design
0 practiced
You must retire an on-prem datacenter and migrate workloads to public cloud over 18 months. Produce a high-level phased plan covering network connectivity and topology, identity and access migration, data transfer strategies, cutover windows, regulatory constraints, rollback strategies, and contract and cost considerations with vendors.

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