Question

A data scientist has deployed a scikit-learn classifier as a Databricks Model Serving endpoint backed by a model registered in Unity Catalog. A downstream application team wants to send inference requests over HTTP. Which approach correctly sends a single-record request to the endpoint's REST API?

Accepted Answer

Send an HTTP POST to the endpoint's invocations URL with a JSON body using the 'dataframe_records' (or 'dataframe_split') key and a valid access token in the Authorization header.

Answer

Send an HTTP GET request to the endpoint URL passing the feature values as query string parameters.

Answer

Call mlflow.pyfunc.spark_udf() against the endpoint URL to distribute the single request across the Spark cluster.

Answer

Write the record to a Delta table and configure the endpoint to poll the table for new rows at a fixed interval.