How can you automate the execution and tracking of machine learning experiments using MLflow on Databricks with the Databricks REST API?

Real Exam

Implementing a CI/CD pipeline that triggers Databricks notebooks via the REST API, with notebooks configured to log experiments to MLflow

17.2%

Using the REST API to submit Spark jobs that initiate MLflow experiments, capturing experiment results and metrics in an automated fashion

58.6%

Directly interacting with the MLflow REST API to create and manage experiments, bypassing the need for Spark job submission

15.2%

Crafting a custom application that uses the Databricks REST API to monitor Databricks jobs and log experiment results to MLflow upon job completion

9.1%

Databricks Certified Data Engineer - Professional