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.

EasyTechnical

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How would you test input validation for a public API endpoint /create-account that requires email, password, and optional age? List test cases for invalid inputs, missing fields, malformed requests, and potential security vectors like SQL injection or excessively long inputs. Specify expected HTTP status codes for each case.

MediumTechnical

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Given a backlog of 150 manual test cases across critical product areas, describe a strategy to prioritize which tests to automate first. Include risk-based criteria, expected ROI, maintenance cost, and how you'd measure success after automation.

HardTechnical

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Your organization must decide between investing heavily to make tests fully deterministic (high engineering cost) vs accepting some non-determinism and improving observability/alerting. How would you evaluate trade-offs, quantify costs and benefits, and recommend a path considering team size, release cadence, and product risk?

HardSystem Design

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Propose a simulation architecture to validate interactions with a global banking network that involves multi-stage settlements, regulatory rules, and variable latencies. Live testing is impossible; detail how you'd model latencies, partial failures, regulatory checks, and integrate the simulator with CI for automated test runs.

HardSystem Design

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Your E2E suite takes 8 hours and blocks releases. Propose a concrete plan to reduce feedback to under 30 minutes while keeping high confidence: include test-pyramid redesign, parallelization and sharding, virtualization/service virtualization, targeted smoke tests, and tactics to reduce flakiness.

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