Databricks Certified Machine Learning - Associate
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Consider a situation where you need to orchestrate a multi-task ML workflow using Databricks jobs. Describe how you would design these jobs to handle complex dependencies and ensure that each task is executed in the correct sequence, considering factors such as task priority and resource allocation.
Consider a situation where you need to orchestrate a multi-task ML workflow using Databricks jobs. Describe how you would design these jobs to handle complex dependencies and ensure that each task is executed in the correct sequence, considering factors such as task priority and resource allocation.
Simulated
Explanation:
The correct approach is to define each task as a separate job with dependencies based on task priority. This method allows for granular control over each task, ensuring that complex dependencies are managed effectively and that each task is executed in the correct sequence, which is crucial for the successful orchestration of multi-task ML workflows.