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A Generative AI Engineer has already trained an LLM on Databricks, and the model is now ready for deployment. Which of the following steps correctly outlines the easiest process for deploying a model on Databricks?
A
Log the model as a pickle object, upload the object to Unity Catalog Volume, register it to Unity Catalog using MLflow, and start a serving endpoint
B
Log the model using MLflow during training, directly register the model to Unity Catalog using the MLflow API, and start a serving endpoint
C
Save the model along with its dependencies in a local directory, build the Docker image, and run the Docker container
D
Wrap the LLM’s prediction function into a Flask application and serve using Gunicorn