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Test Automation Problem Solving Questions

Covers the ability to reason about and implement solutions for medium to difficult test automation challenges that require both software engineering and testing expertise. Topics include designing and coding reliable automated tests, handling flaky tests and asynchronous operations, coordinating parallel test execution, managing test state and test environments, creating wait and retry strategies, diagnosing cross process or distributed system failures, and applying algorithms and data structures where relevant to testing contexts. Candidates should demonstrate systematic debugging, trade off analysis, design for observability and reproducibility, and practical approaches to scale and reliability in automation pipelines.

HardTechnical
29 practiced
Design a `stable-selector` generator for UI testing that, given a DOM snapshot, outputs selectors resilient to layout or cosmetic changes. Describe data structures, heuristics (attribute preference, text normalization, hierarchical hashing), and provide pseudocode illustrating the generation steps.
MediumSystem Design
34 practiced
How would you detect flaky tests automatically in CI? Describe a practical pipeline that ingests test results, computes flakiness scores, quarantines tests, and notifies owners. What thresholds and signals would you use?
EasyTechnical
40 practiced
Write a thread-safe retry decorator in Python 3 that retries a flaky function up to N times with a fixed delay (in seconds). The decorator should be usable on synchronous functions and allow configuring max_retries and delay. Show only the implementation and briefly explain how it avoids masking real failures.
HardSystem Design
38 practiced
Describe how to build reproducible test environments across developer laptops, CI, and staging so a failing test can be reproduced locally. Cover container images, IaC (infrastructure-as-code), random seed control, time manipulation, and external dependency virtualization.
MediumTechnical
35 practiced
You have test execution logs from multiple machines for a distributed integration test. Outline an approach to correlate events across machines to root cause a failure: what ids/timestamps/traces you need, how to normalize logs, and tools or data structures that help analyze them.

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