Focuses on integration concepts, data flow, and API design as the foundation for connecting systems and services. Coverage includes data integration techniques such as ETL and ELT, change data capture, data warehousing, synchronization and eventual consistency challenges, latency and throughput considerations, middleware and messaging solutions, and common integration patterns used in marketing and enterprise stacks. For APIs, topics include what APIs are and why they matter for developer products, REST versus GraphQL trade offs and use cases, HTTP methods and semantics, authentication and authorization patterns, rate limiting and throttling, versioning strategies, idempotency and error handling, documentation and developer experience, monitoring and service level considerations, and how API choices affect product and business decisions.
MediumSystem Design
0 practiced
Design an API observability and SLO program for integration APIs with a 99.95% availability target and a 200ms 95th-percentile latency target. Describe the key metrics to instrument (latency, error rates, saturation), tracing and logging strategy, synthetic checks, alerting thresholds, and how to tie technical metrics to business impact.
MediumTechnical
0 practiced
What responsibilities should an official client SDK provide for a public API? Outline design principles for ergonomics, error handling, configurable retries, pagination helpers, and backward compatibility. As a Solutions Architect, propose guidelines for when to auto-generate code versus hand-writing idiomatic helpers.
MediumTechnical
0 practiced
Design error-handling and retry strategies for long-running asynchronous jobs that notify clients via webhooks when complete. Cover retry policies, backoff strategies, dead-letter queues, idempotency considerations for webhooks, and how customers receive meaningful failure information.
MediumSystem Design
0 practiced
Design a reliable webhook delivery system for a SaaS platform. Requirements: at-least-once delivery, support 10,000 endpoint deliveries per minute, per-customer rate limiting, retries with exponential backoff and jitter, and deduplication guidance for receivers. As a Solutions Architect, outline components, data flow, failure modes, security considerations, and how you would observe the system.
HardSystem Design
0 practiced
You plan to introduce a GraphQL façade in front of an existing monolithic REST backend used heavily by mobile clients. Propose an incremental migration plan that prevents N+1 queries, maintains DB performance, supports caching at CDN and GraphQL layers, and provides observability. Include patterns like schema stitching, dataloader batching, persisted queries, and rollout steps.
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