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Backend Language Proficiency Questions

Demonstrate strong practical knowledge of a backend programming language such as JavaScript with Node dot js, Python, Java, Go, or similar. Cover language fundamentals, idiomatic usage, standard library features, package and dependency management, common frameworks and ecosystem tools, testing strategies and tooling, error handling and observability, and patterns for maintainable server side code. Be ready to explain concurrency and asynchronous models in the language, performance considerations, security best practices, deployment and packaging approaches, and examples of backend services or APIs you built including trade offs and chosen libraries.

EasyTechnical
40 practiced
Describe the main phases of the Node.js event loop (timers, pending callbacks, idle/prepare, poll, check, close) and explain how long-running CPU work impacts throughput and latency in a Node server. Give three practical mitigation strategies to avoid blocking the event loop in production.
MediumTechnical
58 practiced
Given Node.js single-threaded model, explain approaches to scale CPU-bound tasks: worker threads, cluster/child processes, native addons, or external services. For each approach discuss communication cost, complexity, memory overhead, and when it's preferable in a backend environment.
MediumTechnical
42 practiced
Describe and provide sample Java code or pseudocode for performing an efficient bulk upsert into a relational database. Cover JDBC batching, using database-specific upsert syntax (INSERT ... ON CONFLICT or ON DUPLICATE KEY UPDATE), transactional semantics, and how to recover or resume after partial failures during large imports.
HardTechnical
40 practiced
Design and implement (pseudocode) an exponential backoff strategy with jitter for a retry library used by backend services. Explain different jitter modes (none, full jitter, equal jitter, decorrelated jitter), how to cap retries and delays, how to choose sensible defaults to avoid thundering-herd, and how you would unit-test the behavior under failure injection.
EasyTechnical
43 practiced
Describe how you would validate a JSON Web Token (JWT) server-side in Java or Python. Include steps to verify the signature, check standard claims (exp, nbf, iat, iss, aud), handle clock skew, rotate/verify keys, and mention common libraries you would choose for production.

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