Explanation:
A Multi-node Cluster in Databricks is engineered to support distributed computing tasks, making it the ideal choice for large-scale machine learning projects. This cluster type utilizes multiple worker nodes to process and analyze data in parallel, thereby offering the computational power needed for extensive datasets and complex machine learning operations.
Ultimate access to all questions.
In the context of a large-scale machine learning project requiring distributed computing power, which Databricks cluster type is specifically designed to meet these demands?
A
Single-node Cluster
B
Task-specific Cluster
C
Multi-node Cluster
D
Standard Cluster
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