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Q4 Single choice

A data engineer is migrating pipeline tasks to reduce operational toil. The workspace used Unity Catalog and is in a region that supports serverless. The engineer wants Databricks to auto-select instance types, manage scaling, apply Photon, and handle runtime upgrades automatically for job runs.

How should the data engineer meet this requirement while adhering to Databricks constraints?

A
Run the job on a serverless compute for workflows configuration, ensuring Unity Catalog is enabled and regional support is available.
B
Use a Pro SQL warehouse and schedule Python notebook tasks to execute as pipeline steps.
C
Create a job with a single-task job cluster and manually set instance families and min/max workers.
D
Use an all-purpose cluster with cluster policies to enforce standard sizes and enable autoscaling.

DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE Web TestEngine demo