Databricks Certified Data Engineer - Professional
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When transitioning a model from Staging to Production in MLflow, what is the most critical consideration to ensure the model's readiness for production use?
A
Automatically promoting models based on the highest accuracy metric
B
Ensuring the model has passed all integration tests in a staging environment
C
Validating model performance against a baseline model in MLflow Projects
D
Documenting model changes in MLflow Artifacts before promotion