API Integration and System Connectivity Questions

Covers the end to end concepts and practices for connecting systems using application programming interfaces and integration middleware. Candidates should understand REST and HTTP fundamentals, webhooks versus polling, API authentication and authorization patterns, request and response formats, rate limiting, versioning, and reading API documentation. Include practical skills for building and troubleshooting integrations: data mapping and transformation, schema mapping, message formats, error handling and retry strategies, idempotency, logging and monitoring, and ensuring data consistency across synchronous and asynchronous flows. Also includes integration tooling and middleware platforms, real time versus batch synchronization, designing for partial failures and back pressure, and frontend concerns such as async data fetching, loading and error states, pagination, optimistic updates, and race condition mitigation.

MediumTechnical

0 practiced

Explain patterns to ensure eventual consistency when syncing data using asynchronous events. Cover the outbox pattern, change-data-capture (CDC), event sourcing, idempotent consumers, and compensating transactions. For each pattern describe typical use-cases, benefits, and operational challenges.

MediumTechnical

0 practiced

Describe frontend strategies to avoid race conditions when multiple concurrent async requests update shared state. Discuss request cancellation, deduplication, optimistic concurrency control, using sequence numbers or timestamps, and state machines to make transitions predictable.

EasyTechnical

0 practiced

In Python, implement a function parse_pagination_params(query_params: dict) -> dict that normalizes cursor-based pagination parameters from HTTP query strings. Requirements: return a dict with keys 'cursor' (str|None), 'limit' (int default 50, max 100), and 'direction' ('forward'|'backward', default 'forward'). Validate inputs and raise a ValueError for invalid values.

MediumSystem Design

0 practiced

Design a webhook delivery system to support at-least-once delivery to thousands of third-party endpoints. Requirements: ~1M webhook events/day, retry with exponential backoff for transient failures, visible delivery status (dashboard), replay capability, idempotency support, and scale across regions. Describe components, storage model, retry queue, and monitoring approach.

MediumTechnical

0 practiced

Compare offset-based pagination and cursor-based pagination. For a dataset with high churn and very large pages, explain performance, stability, and correctness trade-offs. Provide an example response shape for cursor-based pagination containing 'next_cursor' and 'has_more'.

Unlock Full Question Bank

Get access to hundreds of API Integration and System Connectivity interview questions and detailed answers.

Join thousands of developers preparing for their dream job.