PRODUCTION SCENARIO
A Generative AI Engineer has logged a RAG chain as a pyfunc model and registered it in Unity Catalog. A web application must call it over HTTPS and get an answer back on each request.
What makes the registered model callable from that application?
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Show answer and explanation
Answer: Creating a Model Serving endpoint that serves the registered model version
Model Serving is the unified interface to deploy, govern and query AI models, and each model you serve becomes a REST API the application can call. An alias only labels which version is current and creates no endpoint, EXECUTE only lets a principal use a model that is already reachable, and an ai_query job writes batch predictions into a table instead of answering a live request.
Official Source: https://docs.databricks.com/aws/en/machine-learning/model-serving/ ↗