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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #97
GENERATIVE-AI-ENGINEER-ASSOCIATE Question #97: Real Exam Question with Answer & Explanation
The correct answer is B: Log the model using MLflow during training, directly register the model to Unity Catalog using the. See the full explanation below for the reasoning.
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
Topics
#MLflow Model Deployment#Unity Catalog#Databricks MLOps#LLM Deployment
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