Validate Unit-Test Coverage and Identify Missing Scenarios

Q: Validate Unit-Test Coverage and Identify Missing Scenarios

This question evaluates a data scientist's ability to assess unit-test coverage, identify missing test scenarios, and implement targeted tests that ensure correctness, robustness, and proper error handling; it is categorized under Coding & Algorithms and tests competencies in software testing, test design, and code reliability.

Q: How do I approach Coding & Algorithms interview questions?

Coding & Algorithms questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master coding & algorithms interviews.

Question

Scenario

Tech round: reviewing an existing unit-test that exercises the class from Part 2

Question

i) What does the current unit-test validate?

ii) List additional scenarios you would test and justify each.

iii) Choose the most critical missing scenario and write the corresponding test code.

Hints

Cover null inputs, mismatched dimensions, deterministic output, and exception handling; use pytest assertions.

Validate Unit-Test Coverage and Identify Missing Scenarios

Scenario

Question

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