In a scenario where you are working on a machine learning project that requires the use of distributed computing, explain how Databricks can help in scaling up the processing capabilities and improving performance.

Simulated

Databricks can only be used for single-node processing, and distributed computing is not supported.

5.3%

Databricks can help in scaling up the processing capabilities by adding more nodes to the cluster, but it does not provide any optimizations for distributed computing.

5.3%

Databricks can help in scaling up the processing capabilities by adding more nodes to the cluster and provides built-in optimizations for distributed computing, such as data partitioning and in-memory processing.

89.5%

Databricks can help in scaling up the processing capabilities by using a single powerful machine, but it does not support distributed computing.

0.0%

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In a scenario where you are working on a machine learning project that requires the use of distributed computing, explain how Databricks can help in scaling up the processing capabilities and improving performance.