# How to Test Databricks Model Deployments Locally

DevFeed: [How to Test Databricks Model Deployments Locally](<https://devfeed.tech/articles/how-to-debug-ml-deployments-20x-faster-28601.md>)

Original publisher: [Read original article](<https://www.marvelousmlops.io/p/how-to-debug-ml-deployments-20x-faster>)

Author: Mehmet Acikgoz

Published: 2025-05-01T16:56:46Z

Content type: tutorial

Language: en

Sources: [MarvelousMLOps](<https://devfeed.tech/sources/marvelousmlops.md>)

Topics: [model-serving](<https://devfeed.tech/topics/model-serving.md>), [databricks](<https://devfeed.tech/topics/databricks.md>), [DevOps](<https://devfeed.tech/topics/devops.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>)

Tags: [cli](<https://devfeed.tech/tags/cli.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [devops](<https://devfeed.tech/tags/devops.md>), [ml](<https://devfeed.tech/tags/ml.md>), [model-deployment](<https://devfeed.tech/tags/model-deployment.md>), [model-serving](<https://devfeed.tech/tags/model-serving.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This tutorial explains how machine learning teams can test Databricks model-serving deployments locally before deploying them remotely. It covers downloading a pyfunc model artifact tracked in MLflow, deploying the endpoint locally, and testing it with the Iris-Species dataset.

## Source excerpt

Test Databricks model deployments locally