Explanation:
Databricks Workflows allows you to configure automated, task-level retry policies. This is the most cost-effective and resilient way to handle transient errors like temporary network issues, as it only retries the failed task instead of restarting the entire pipeline or spending money on oversized compute.
Ultimate access to all questions.
A
Increase the size of the cluster.
B
Schedule the job to run back-to-back multiple times.
C
Configure an automated retry policy for that specific task in Workflows.
D
Switch the cluster to use Spot Instances.
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