Who is primarily responsible for ensuring data quality and model validation in a VIM workflow?

• A. Data collector only.
• B. QA role ensures data quality and model validation.
• C. Supervisor only.
• D. IT support.

Answer: (B)

In a VIM workflow, ensuring data quality and validating models falls to the QA role because this function is all about making sure inputs are trustworthy and the outputs are reliable. The QA team defines data quality standards—such as completeness, accuracy, and timeliness—and builds validation procedures like data profiling, checks for missing or inconsistent fields, and tracing data lineage. They also implement and oversee model validation, using appropriate tests, holdout datasets, cross-validation, and performance metrics to confirm that model results are dependable before they guide inspections. Data collectors focus on gathering data, and supervisors and IT support play important roles in processes and infrastructure, but the ongoing responsibility for maintaining data quality and validating models rests with QA, since they coordinate standards, enforce checks, and ensure that both data and models meet defined quality criteria.