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How should a Generative AI Engineer configure a serving endpoint to pass secrets and credentials when deploying a custom MLflow Pyfunc model that returns intermediate results?
A
Use spark.conf.set ()
B
Pass variables using the Databricks Feature Store API
C
Add credentials using environment variables
D
Pass the secrets in plain text