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Databricks Cluster Management - standalone vs YARN mode

Spark/Big Dataeasy0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Meesho
Key Concepts Tested
spark
Expert AnswerPremium
68 wordsInterview-ready
**Why mode matters**: Resource allocation and multi-tenancy differ. **Standalone**: Spark's built-in manager; simple; single-tenant. **YARN**: Hadoop resource manager; multi-tenant; queue management; enterprise. **Databricks**: Managed Spark; no direct YARN; uses cloud compute. On-prem Databricks can use YARN. **Scalability trade-offs**: Standalone = dev/simple; YARN = shared clusters, fairness. **Cost implications**: YARN enables resource sharing; standalone = dedicated....
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