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Software Testing and Assertions Questions

Core software testing and debugging practices, including designing tests that exercise normal, edge, boundary, and invalid inputs, writing clear and maintainable unit tests and integration tests, and applying debugging techniques to trace and fix defects. Candidates should demonstrate how to reason about correctness, create reproducible minimal failing examples, and verify solutions before marking them complete. This topic also covers writing effective assertions and verification statements within tests: choosing appropriate assertion methods, composing multiple assertions safely, producing descriptive assertion messages that aid debugging, and structuring tests for clarity and failure isolation. Familiarity with test design principles such as test case selection, test granularity, test data management, and test automation best practices is expected.

MediumTechnical
0 practiced
Design a test data management plan for a product database used by hundreds of tests. Discuss strategies for synthetic data generation, isolated fixtures, anonymized production snapshots, schema migrations across tests, and how to speed up DB setup in CI while maintaining test reliability.
EasyTechnical
0 practiced
Explain the difference between mocks, stubs, fakes, and spies. For each test double give a short example (language-agnostic) and describe a scenario where you would prefer that double to a real dependency in a unit test.
MediumTechnical
0 practiced
Write unit tests for a SQL query function using an in-memory SQLite database in Python. Include schema creation, sample data insertion, tests for expected rows, and edge cases such as no rows returned and duplicate keys. Use pytest fixtures to manage the DB lifecycle.
MediumTechnical
0 practiced
Write parametrized pytest tests for a function validate_email(email: str) -> bool. Include representative valid addresses, unicode/IDN domains, edge-case domains, and common invalid patterns. Use descriptive ids for cases and include assertion messages that explain why a case should pass or fail.
EasyTechnical
0 practiced
How and when should you use setup/teardown or fixtures in tests? Compare pytest fixtures, JUnit @BeforeEach/@AfterEach, and module/session level fixtures. Explain the trade-offs between fixture reuse and test independence and how to avoid shared mutable state pitfalls.

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