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You are responsible for deploying a machine learning model in a Databricks environment. The deployment involves training the model, evaluating its performance, and serving predictions. Each step has dependencies on the previous steps. Describe how you would configure this deployment as a Databricks job.
A
Create a single notebook that includes all steps, execute the notebook as a job, and handle dependencies within the notebook code.
B
Create a multi-task job with separate tasks for each step, configure task dependencies to enforce the sequence, and use shared storage for data exchange between tasks.
C
Schedule each step as a separate job, manually trigger each job based on the completion of the previous step.
D
Combine all steps into a single Python script, upload the script to Databricks, and run it as a job.