Episode 58 — 5.4 Assure Data Quality: Tests, Source Control, UAT, Requirement Validation

This episode covers quality assurance as a disciplined process, which DA0-002 tests when prompts involve ensuring outputs remain correct after changes or when stakeholders challenge results. You will define tests as automated or repeatable checks that validate expectations like ranges, types, uniqueness, and relationships. Source control is framed as the mechanism for tracking changes to queries, transformation scripts, and calculation logic, enabling traceability and rollback when errors appear. User acceptance testing is covered as confirming that outputs match user needs and interpretation, not just that code runs. Requirement validation connects the entire process back to the business question, ensuring that the dataset and measures truly answer what was asked and that definitions are consistent. The objective is to recognize quality assurance cues and choose actions that prevent defects from reaching reports and dashboards.