Design scheduled jobs, file upload flows, asynchronous work, timeouts, and operational safeguards.
Spring Boot · operations
Use the strong answer as your reference, explain it aloud in your own words, then choose how soon you want to review it again.
Interview prompt
Strong answer
Scheduled, file, and asynchronous workflows need explicit limits and failure handling. Define whether work is at-most-once or retryable, make operations idempotent, bound concurrency, and record enough state to recover after a restart.
Key points
Interviewer looks for
Describe how the job behaves after a crash, duplicate delivery, timeout, or partial success.
Java example
1@Scheduled(fixedDelayString = "${jobs.cleanup-delay-ms}")
2void cleanup() {
3 // Load a bounded batch, process idempotently, and persist a checkpoint.
4}Topic interview questions
These questions are tied to this lesson. Read each question aloud, then compare your explanation with the strong answer.
Strong answer
Each application instance may trigger the schedule independently. Use a distributed lock, a single worker, or a coordination mechanism, and make the job safe if duplicate execution still occurs.
Strong answer
Make the operation idempotent, classify retryable versus permanent failures, use bounded exponential backoff, record attempts, and send exhausted messages to a dead-letter or review path.
Strong answer
An exception may be stored in a Future or CompletableFuture rather than thrown on the submitting thread. Observe and handle completion failures explicitly, and include logging, metrics, and a retry or compensation policy.
Strong answer
Set size and content limits, validate the actual content type, stream large files, store them outside the application process, scan when required, and authorize access to the resulting object.
Strong answer
An unbounded executor can accept work faster than downstream systems can process it, causing memory growth and latency collapse. Capacity, queueing, rejection, timeouts, and shutdown behavior should be explicit.
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