Question

A fraud-detection team must score individual credit-card transactions and return a prediction to the payment application within tens of milliseconds, one transaction at a time, as each purchase occurs. The model is already registered in Unity Catalog. Which deployment paradigm should the team use to meet this requirement?

Accepted Answer

Deploy the model to a Databricks Model Serving endpoint and query it via REST API for each transaction

Answer

Load the model as a Spark UDF and run a nightly batch job over the transactions table

Answer

Use Structured Streaming with a spark_udf reading from a message queue in micro-batches

Answer

Schedule a Databricks Job with applyInPandas to score accumulated transactions every hour