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System Architecture and Integration Questions

Evaluates a candidate's ability to reason about high level system architecture, component interactions, and integration patterns used to build production services. Candidates should be able to visualize major components and the flow of requests and data between them, and to explain client server models, multi tier layered architecture, routing from ingress through load balancing to auto scaled compute instances, and trade offs between monolithic and microservice approaches. Expect discussion of service boundaries and loose coupling; synchronous application programming interfaces and asynchronous messaging; event driven and publish and subscribe architectures; message queues, retry and backoff patterns; caching strategies; and approaches to data consistency and state management. Integration concerns include application programming interfaces, adapters and connectors, extract transform load processes, data synchronization, data warehousing, and the trade offs between real time streaming and batch processing and single source of truth. Candidates should reason about scalability, reliability, availability, redundancy, failover, fault tolerance, latency and throughput trade offs, security boundaries, and common failure modes and bottlenecks. They should also address operational considerations such as monitoring, logging, observability, deployment implications and run books, and explain how architectural choices influence team boundaries, delivery timelines, dependency complexity, testing strategy, maintainability, and operability. Answers should demonstrate clear explanation of design decisions and trade offs without requiring low level implementation detail, and the ability to communicate architecture to both technical and non technical audiences.

HardTechnical
34 practiced
Discuss the trade-offs between enforcing a single source of truth (SSOT) for data ownership versus allowing polyglot data ownership across microservices. As product manager, describe impacts on data consistency, team autonomy, analytics quality, release velocity, and suggest criteria to decide when to centralize vs decentralize data ownership.
MediumTechnical
34 practiced
What is consumer-driven contract testing and how does it help integration across teams? As a product manager, propose a rollout plan to implement contract testing across multiple teams, including incentives, CI integration, and metrics to measure adoption and benefit.
HardSystem Design
32 practiced
As product manager, choose between implementing an API gateway and adopting a service mesh for handling routing, authentication, rate limiting, and observability in a complex microservice environment. Compare responsibilities, operational overhead, latency impact, lifecycle implications, and how each choice influences team boundaries and delivery timelines.
MediumSystem Design
64 practiced
Design a public REST API for a payments service used by third-party merchants. Requirements: create charges, process refunds, deliver webhooks for events, support idempotency for retries, meet 99.9% availability, and enforce per-merchant rate-limiting. As PM, outline high-level endpoints, authentication, error handling, rate-limit model, versioning, and developer experience priorities.
EasyTechnical
44 practiced
Compare batch ETL and real-time streaming approaches for feeding analytics and product dashboards. As a product manager, describe the trade-offs in data freshness, correctness, cost, engineering complexity, and use-cases that should guide the choice between batch, streaming, or hybrid architectures.

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