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Browse 3 real-world technical and behavioral interview questions about Flakiness. Review scenarios, edge cases, and architectural best practices.
Automate what runs often, has a deterministic oracle, sits on a stable interface, and guards an expensive escaped bug. Push each check to the cheapest layer that can still fail meaningfully, treat flakiness as a defect rather than noise, and keep human time for exploratory testing, not scripted regression.
Buy most of your confidence from fast isolated tests and little from slow end-to-end ones, because cost and flakiness rise as you climb. It is a claim about where risk lives, so a system whose risk sits in integration - a thin service over a database - correctly has a different shape.
Profile before cutting: suite time concentrates in a few tests, and the cause is usually repeated setup or real waiting rather than work. Parallelise what is independent, move the slow and rarely-failing out of the merge path, and treat deleting redundant tests as legitimate.