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Answer: Setting up task dependencies to control execution order
Task dependencies are essential for task orchestration as they define the order in which tasks should be executed. This allows for tasks to be run based on the successful completion of preceding tasks, ensuring the workflow is logical and efficient.
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What is a crucial step in orchestrating a task within a Databricks Workflow Job to ensure logical and efficient execution?
A
Assigning a unique identifier to each task manually
B
Choosing a color scheme for task visualization
C
Setting up task dependencies to control execution order
D
Configuring the maximum allowable downtime for the job