A machine learning engineer wants to programmatically create a new Databricks Job whose schedule depends on the result of some automated tests in a machine learning pipeline.
Which of the following Databricks tools can be used to programmatically create the Job?
The Databricks REST APIs can be used to programmatically create and manage Databricks Jobs. These APIs provide comprehensive functionality for interacting with and automating tasks within the Databricks workspace, including job creation, scheduling, and management.
The answer is E. Databricks REST APIs. Explanation: While MLflow offers APIs for model management and tracking, and AutoML provides automation for machine learning tasks, neither directly supports programmatic job creation. The Databricks REST APIs, however, provide comprehensive functionality for interacting with Databricks workspace resources, including creating and managing jobs.
Databricks REST APIs allow users to programmatically manage various aspects of your Databricks workspace, including creating and managing jobs. By using the Databricks REST APIs, the machine learning engineer can automate the creation of a new Databricks Job whose schedule depends on the results of automated tests in a machine learning pipeline. Doc: https://docs.databricks.com/api/workspace/introduction