Integration Patterns and API Design Questions

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.

HardTechnical

30 practiced

Perform a cost vs performance analysis for ingesting high-volume event sources into analytics: compare managed streaming (Kafka/Kinesis) vs periodic batch ETL (Airflow + S3 + warehouse). Discuss throughput, latency, operational cost, developer velocity, failure modes, and provide a decision framework for choosing streaming vs batch per use case.

MediumTechnical

31 practiced

As a Solutions Architect, compare REST, GraphQL, and gRPC for two contexts: (a) external public developer APIs, and (b) internal microservice-to-microservice communication. Discuss trade-offs for caching, observability, client flexibility, binary vs JSON payloads, and developer onboarding, then recommend a practical stack for each context.

EasyTechnical

23 practiced

As a Solutions Architect, explain in plain language what an API is and why APIs are foundational for developer products. Provide two concrete business use cases (for example: partner integrations that drive revenue or internal APIs that accelerate product development), and describe one measurable metric you would report to product leadership to show API value.

HardTechnical

30 practiced

Design an API versioning, compatibility testing, and deprecation strategy for a platform with thousands of dependent clients whose upgrade schedules vary widely. Cover automated compatibility checks, staged rollouts, SDK coordination, deprecation timelines, and how to measure client readiness for deprecation.

HardTechnical

24 practiced

Design a contract-first API governance process for hundreds of microservices to prevent breaking changes. Include the governance steps, automated CI gates, schema registry, consumer-driven contract tests, approval workflows, and retrospective auditing. As a Solutions Architect, describe where enforcement should live and how to scale the governance process.

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