Validate Unit-Test Coverage and Identify Missing Scenarios
Overview
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.
Capital One
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Coding & Algorithms
0
0
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.