Testability and Testing Practices Questions

Emphasizes designing code for testability and applying disciplined testing practices to ensure correctness and reduce regressions. Topics include writing modular code with clear seams for injection and mocking, unit tests and integration tests, test driven development, use of test doubles and mocking frameworks, distinguishing meaningful test coverage from superficial metrics, test independence and isolation, organizing and naming tests, test data management, reducing flakiness and enabling reliable parallel execution, scaling test frameworks and reporting, and integrating tests into continuous integration pipelines. Interviewers will probe how candidates make code testable, design meaningful test cases for edge conditions, and automate testing in the delivery flow.

EasyTechnical

0 practiced

What conventions do you use to organize and name test files and test cases in a large codebase to aid discoverability and running subsets of tests? Describe folder layout, naming schemes for tests and test classes, and how to structure projects to support fast targeted runs.

HardTechnical

0 practiced

Your product handles personal data and integration tests need realistic datasets without exposing production PII. Design a solution for synthetic data generation, privacy-preserving transformations, and CI seeding strategies that balance fidelity and compliance requirements.

MediumSystem Design

0 practiced

Design a test-results reporting and metrics system for an organization that runs thousands of tests per day. What data will you collect (execution time, pass/fail, flakes, owners), what dashboards and alerts would you surface, and how would you help engineers find and fix flaky or failing tests quickly?

MediumTechnical

0 practiced

Describe how to use a mocking framework such as Mockito to replace external dependencies in unit tests. Show examples of stubbing return values, verifying interaction counts, and using argument matchers. Then discuss the risks of over-mocking and tests that assert implementation details rather than behavior.

EasyTechnical

0 practiced

Explain what line coverage and branch coverage measure. Discuss why high code coverage is not always indicative of test quality and give three concrete examples of tests that inflate coverage without reducing regression risk.

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