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 a cluster consisting of an Apache Spark driver and no Spark workers. A Single Node cluster supports Spark jobs and all Spark data sources, including Delta Lake. A Standard cluster requires a minimum of one Spark worker to run Spark jobs.
Key Points:
- Single-node clusters are ideal for interactive work with small datasets because they have lower overhead and faster startup times
- They are not suitable for large datasets or performance-critical automated reports that require distributed processing
- Databricks SQL typically uses SQL warehouses rather than single-node clusters
- Single-node clusters cannot automatically scale since they have no workers to add
- Large datasets require distributed processing across multiple nodes for optimal performance
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