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Solution Architecture and Design Questions

Designing and architecting end to end technical solutions for enterprise and complex systems, covering both the methodology for approaching architecture problems and the practical component level design work. Candidates should demonstrate a repeatable structured approach to elicit and document functional and non functional requirements, identify constraints and stakeholders, evaluate and compare multiple architectural options, and justify technology choices. They should produce high level and component level designs that show major services, presentation layers, application tiers, data layers, data flows, storage strategies, application programming interfaces, integration points with external and third party systems, and data movement and transformation. Strong responses explicitly address quality attributes such as scalability, performance, availability, fault tolerance, reliability, consistency and security as well as compliance and data protection concerns. Operational concerns must be covered including deployment topology, multi region and hybrid cloud strategies, monitoring and observability, logging, capacity planning, backup and disaster recovery, deployment and release strategies, maintenance, and operational run books. Candidates should discuss communication patterns including synchronous remote procedure calls and asynchronous messaging, storage trade offs between relational and non relational datastores and data warehouses, failure modes and mitigation strategies, incremental evolution and migration paths, and cost and feasibility constraints. Interviewers assess the ability to present clear diagrams, explain interactions and failure modes, reason about trade offs, and justify design decisions against requirements and constraints.

EasySystem Design
0 practiced
Design a concise RESTful API contract to retrieve aggregated metrics for dashboards. Specify endpoints, request parameters (metric name/id, time range, granularity, filters), pagination, caching headers (ETag/Cache-Control), expected JSON response shape, and error responses. Explain how you would version the API without breaking existing clients.
HardTechnical
0 practiced
As a senior BI architect leading a migration to a new metrics platform, explain how you would minimize disruption. Describe stakeholder communication cadence, incremental rollout and canary strategies, training plan for analysts, KPIs to measure migration success, and the criteria and process for deprecating old metrics and dashboards.
MediumTechnical
0 practiced
Describe possible failure modes when the upstream data warehouse becomes unavailable and the impact on dashboarding. Propose mitigation strategies: degraded UX (cached snapshots), read-only fallbacks, alerting/communication plans, and how to prioritize mitigations for executive dashboards versus analyst exploration.
MediumTechnical
0 practiced
How would you build a capacity planning model for your metrics API forecasting compute and memory needs over 12 months? Describe required inputs (user growth, queries/user, query complexity), assumptions, buffer sizing, autoscaling configuration, and how to validate projections against observed telemetry.
MediumSystem Design
0 practiced
Explain integration patterns for embedding BI dashboards into a multi-tenant SaaS application: iframe embedding with SSO, SDK-based embedding, and server-side rendering of images/PDFs. For each pattern, discuss authentication propagation, data scoping for tenants, security considerations, and performance impact on the host application.

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