This practice set covers Workflows in Databricks, an essential component of the Databricks Certified Data Engineer Associate exam. Each question tests your understanding of job orchestration, task dependencies, cluster selection, and workflow management.
Test your knowledge of Databricks Workflows concepts:
- Job cluster vs all-purpose cluster selection for different use cases
- Multi-task job configuration with linear and parallel task dependencies
- Task parameterization using key-value pairs for dynamic workflow execution
- Job repair functionality for handling task failures without full re-execution
- DLT pipeline integration within Databricks Jobs workflows
- Task timeout configuration and email notification setup for production jobs
- Cluster assignment flexibility allowing different compute for each task
What makes this different:
- Real-world scenarios from e-commerce and multi-department operations
- Practical examples of job configuration decisions
- Clear explanations of workflow orchestration patterns
Use this practice set to validate your Databricks Workflows knowledge before exam day.
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