Databricks
GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #97
A Generative AI Engineer has already trained an LLM on Databricks and it is now ready to be deployed. Which of the following steps correctly outlines the easiest process for deploying a model on Datab
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Model Deployment and MLOps on Databricks
Question
A Generative AI Engineer has already trained an LLM on Databricks and it is now ready to be deployed. Which of the following steps correctly outlines the easiest process for deploying a model on Databricks?
Options
- ALog the model as a pickle object, upload the object to Unity Catalog Volume, register it to Unity
- BLog the model using MLflow during training, directly register the model to Unity Catalog using the
- CSave the model along with its dependencies in a local directory, build the Docker image, and run
- DWrap the LLM's prediction function into a Flask application and serve using Gunicorn
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Topics
#MLflow Model Deployment#Unity Catalog#Databricks MLOps#LLM Deployment