Reproducibility and Documentation Questions

Focuses on practices and infrastructure that ensure research results can be reproduced and understood by others. Topics include version control, experiment tracking and logging, deterministic random seeds, environment and dependency capture through containers or environment files, data provenance and storage of datasets, clear experiment metadata, unit and integration tests for research pipelines, releasing code and artifacts with documentation, and reproducible analysis workflows. Interviewers may ask for concrete tools and workflows used and for examples where reproducibility practices prevented errors or enabled collaboration.