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?
Real Exam
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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 appropriate when working interactively with a small amount of data because:
- Cost Efficiency: Single-node clusters are less expensive than multi-node clusters since they don't require worker nodes.
- Simplified Setup: They have minimal configuration overhead and are ideal for development, testing, or small-scale interactive work.
- Interactive Development: For exploratory data analysis, prototyping, or working with small datasets, a single-node cluster provides sufficient compute power without the complexity of distributed computing.
Why other options are incorrect:
- B: Automated reports that need to be refreshed quickly typically benefit from multi-node clusters for parallel processing.
- C: Working with SQL in Databricks SQL doesn't necessarily require a single-node cluster; SQL warehouses can be configured with multiple nodes for better performance.
- D: Concerns about automatic scaling with larger data would suggest using multi-node clusters with autoscaling capabilities.
- E: Manually running reports with large amounts of data requires multi-node clusters for distributed processing to handle the data volume efficiently.
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