Personal account of hands on experience using public cloud providers and the concrete results delivered. Candidates should describe specific services and patterns they used for compute, storage, networking, managed databases, serverless and eventing, and explain their role in architecture decisions, deployments, automation and infrastructure as code practices, continuous integration and continuous delivery pipelines, container orchestration, scaling and performance tuning, monitoring and incident response, and cost management. Interviewees should quantify outcomes when possible with metrics such as latency reduction, cost savings, availability improvements or deployment frequency and note any formal training or certifications. This topic evaluates depth of practical experience, ownership, and the ability to operate and improve cloud systems in production.
MediumTechnical
63 practiced
Discuss a time you evaluated multiple cloud vendors for a new platform. Describe the evaluation criteria (technical, operational, cost, compliance), how you executed proof-of-concept tests and benchmarks, how you quantified non-functional requirements, and the decision-making process and trade-offs that led to your final recommendation.
EasyBehavioral
33 practiced
List your cloud certifications and formal training relevant to cloud architecture (for example AWS Solutions Architect Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect). For each certification or course, explain how the curriculum influenced your design decisions or introduced practices you adopted in production environments.
MediumSystem Design
39 practiced
You need to migrate a monolithic web application and a 5 TB Postgres database (2M monthly active users) from on-prem to AWS with minimal planned downtime. Outline a step-by-step migration plan covering discovery, schema and data migration tools (e.g., DMS, logical replication), cutover strategy (blue/green, shadow/read-only, rolling), testing and validation, rollback processes, and the metrics you would use to declare success.
HardSystem Design
38 practiced
You operate Kubernetes clusters across multiple regions. Design an approach for multi-cluster service discovery and failover using either service mesh federation or cluster federation. Include control-plane topology, east-west networking, mTLS/identity across clusters, latency implications, CI/CD for mesh/config rollout, and how to respect data locality and regulatory constraints.
MediumTechnical
37 practiced
You inherit an environment with heavy on-demand compute and little automation. Propose a cost-optimization plan covering rightsizing, autoscaling, spot/preemptible instances, reservation/savings plan strategy, storage tiering, scheduled shutdown for non-prod, tagging for visibility, and governance to prevent regression. Explain how you'd measure and validate savings.
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