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Edge Cases and Complex Testing Questions

Covers identification and systematic handling of edge cases and strategies for testing difficult or non deterministic scenarios. Topics include enumerating boundary conditions and pathological inputs, designing test cases for empty, single element, maximum and invalid inputs, and thinking through examples mentally before and after implementation. Also covers complex testing scenarios such as asynchronous operations, timing and race conditions, animations and UI transients, network dependent features, payment and real time flows, third party integrations, distributed systems, and approaches for mocking or simulating hard to reproduce dependencies. Emphasis is on pragmatic test design, testability trade offs, and strategies for validating correctness under challenging conditions.

HardTechnical
69 practiced
Explain methods to make tests for nondeterministic distributed algorithms (leader election, consensus) reproducible. Discuss deterministic scheduling, model checking, inserting controlled randomness, failure injection, and the trade-offs between simulation fidelity and test determinism.
MediumTechnical
84 practiced
Implement (in your preferred language) a robust CSV parser function that accepts a CSV string and returns rows as arrays. It must correctly handle quoted fields with commas/newlines, escaped quotes, empty input, irregular column counts, and extremely long fields. Describe test cases you would add for malformed inputs and streaming scenarios.
HardSystem Design
99 practiced
Design tests for a real-time collaborative editor that must keep multiple clients in sync with low latency. Cover out-of-order messages, partial message loss, reconnection with missed operations, consistency under concurrent edits, and how to test both OT and CRDT approaches end-to-end.
EasyTechnical
92 practiced
What makes code 'testable'? List five concrete design practices you would apply to improve testability of a legacy module that tightly couples database access, business logic, and UI rendering. For each practice, explain the testing benefit and a small code-level change you might make.
EasyTechnical
93 practiced
What are common causes of flaky tests in a CI pipeline (tests that sometimes fail and sometimes pass)? Provide a troubleshooting checklist you would follow when a previously stable test becomes flaky, including tools and metrics you would examine.

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