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A machine learning engineer is developing and tuning machine learning models, experimenting with various algorithms and parameters. This process requires the ability to quickly start and stop clusters for different experiments. The engineer operates independently and demands full control over the cluster environment. Which Databricks cluster mode is most appropriate for this scenario?
A machine learning engineer is developing and tuning machine learning models, experimenting with various algorithms and parameters. This process requires the ability to quickly start and stop clusters for different experiments. The engineer operates independently and demands full control over the cluster environment. Which Databricks cluster mode is most appropriate for this scenario?
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