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Which practice ensures ML models are versioned alongside code and data for reproducibility?
- DVC
- MLflow
- Both A and B
- Neither
Answer: Both A and B
MLOps tools: DVC versions data and models, MLflow tracks experiments and deployments. Combined with Git for end-to-end reproducibility. Critical for enterprise ML governance.