A machine learning model has been databricks video
ml-engineer-associate video for a machine learning model has been successfully deployed in a Databricks environment using MLflow. The model is now receiving a
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A machine learning model has been successfully deployed in a Databricks environment using MLflow. The model is now receiving a significant number of requests, and the data scientist needs to ensure high availability. What strategy should the data scientist employ to achieve this?