Databricks Certified Data Engineer - Associate
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Which of the following describes a scenario in which a data engineer will want to use a single node cluster?
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KKeng
A
When they are working interactively with a small amount of data
B
When they are running automated reports to be refreshed as quickly as possible
C
When they are working with SQL within Databricks SQL
D
When they are concerned about the ability to automatically scale with larger data
E
When they are manually running reports with a large amount of data
Explanation:
Explanation
A single node cluster is most appropriate when working interactively with a small amount of data because:
- Cost Efficiency: Single node clusters are less expensive as they don't require multiple worker nodes
- Interactive Development: For exploratory data analysis, development, and testing with small datasets, a single node is sufficient
- Reduced Overhead: No network communication overhead between nodes
- Simplified Debugging: Easier to debug issues when working on a single node
Why other options are incorrect:
- B: Automated reports that need quick refresh would benefit from multi-node clusters for parallel processing
- C: Working with SQL in Databricks SQL doesn't necessarily require a single node cluster; it depends on the data size and complexity
- D: Concern about automatic scaling with larger data indicates a need for multi-node clusters with auto-scaling capabilities
- E: Manual reports with large amounts of data would require multi-node clusters for distributed processing
Single node clusters are ideal for development, testing, and small-scale interactive work where the data fits comfortably in memory and doesn't require distributed processing.
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