Design and operationalize systems and processes that deliver efficiency, cost effectiveness, and resilient service delivery. Cover approaches to cost optimization and right sizing, automation and self healing, monitoring and observability, service level objectives and agreements, incident response and disaster recovery planning, chaos engineering and resilience testing, capacity planning, and continuous improvement practices. Candidates should explain trade offs between cost and reliability, instrumentation and alerting strategies, and how to measure and improve operational maturity.
HardTechnical
0 practiced
Behavioral/leadership scenario: Imagine you are leading the cross-functional response to a high-severity outage involving conflicting technical opinions and pressure from executives and customers. Describe your approach to making decisions under uncertainty, establishing a single source of truth, delegating technical deep-dives, communicating status to executives and customers, and ensuring the team learns from the incident afterwards.
MediumTechnical
0 practiced
Outline a capacity-planning approach for a SaaS product expected to double active users in six months: include baseline metrics to collect, workload growth assumptions, headroom rules, load-testing strategy and cadence, procurement or scaling lead times, and cost vs risk trade-offs for pre-provisioning capacity versus fully dynamic scaling.
HardTechnical
0 practiced
You inherit a client engagement where the platform suffers frequent incidents and low operational maturity. Propose a prioritized 6–12 month roadmap with specific initiatives (instrumentation improvements, SLO adoption, runbook creation, on-call design, automation, chaos exercises), measurable outcomes for each quarter, quick wins to build trust, and required team or tooling investments.
HardSystem Design
0 practiced
Design a self-healing platform for Kubernetes clusters that can detect unhealthy application behavior or node failures and perform safe remediation (restart pods, cordon/drain nodes, replace instances, or rollback deployments). Describe controllers/operators you would implement, admission controls, health check strategies, remediation policies CRDs, observability hooks, and safety gates to avoid cascading automation failures.
MediumTechnical
0 practiced
A customer runs a multi-region web application and wants to lower cloud spend while maintaining regional latency SLAs. Outline a cost-optimization plan covering right-sizing, instance family choices, storage tiering, replica placement strategies, and scheduled scaling. Address trade-offs between cost, complexity, and reliability.
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