Why Databricks for model deployment?
While speaking with your DevOps team about deploying your book recommendation model, they have been pushing back on using Databricks to deploy the model. Historically, they are very familiar with traditional deployment methods with on-prem compute resources. They are not, however, very well versed in how to do a similar process in the cloud.
Which of the following best summarizes why they should consider using Databricks Model Serving Endpoints to host a machine learning model?
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