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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.

HardSystem Design
0 practiced
Define SLOs and SLIs suitable for dashboard delivery: page load time, time-to-first-byte for visualizations, data freshness, and error rate. Propose alert thresholds, escalation policies, and concrete runbook steps for breaches including temporary mitigation and long-term remediation.
HardTechnical
0 practiced
Compare consistency models relevant to BI reporting: strong consistency, eventual consistency, read-after-write, and snapshot isolation. For each, explain the user-visible effects on dashboards (staleness, anomalies) and how you would design UI or API behavior to set correct user expectations.
MediumSystem Design
0 practiced
Design rate-limiting and throttling for a public metrics API used by partners. Include per-tenant limits, burst windows, fair-share vs priority customers, response headers to communicate remaining quota, and backpressure strategies. How would you implement overrides for high-priority partners?
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.
HardSystem Design
0 practiced
Design a robust row-level and column-level access control mechanism for BI reporting that integrates with company SSO/IAM, supports attribute-based access (ABAC) for sensitive columns, and ensures consistent enforcement across multiple BI tools. Discuss where policy evaluation should occur and performance implications.

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