In a scenario where you are working on a large-scale machine learning project that requires distributed processing, explain the factors that would lead you to choose a standard cluster over a single-node cluster in Databricks, and vice versa.

Simulated

A single-node cluster is preferred when the project requires high interactivity and low latency, such as during the exploratory data analysis phase.

4.2%

A standard cluster is preferred when the project involves heavy computation and can be parallelized, such as training large-scale machine learning models.

87.5%

A single-node cluster is always preferred due to its simplicity and ease of use, regardless of the project requirements.

4.2%

A standard cluster is always the best choice for all machine learning projects due to its ability to handle distributed processing.

4.2%

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In a scenario where you are working on a large-scale machine learning project that requires distributed processing, explain the factors that would lead you to choose a standard cluster over a single-node cluster in Databricks, and vice versa.