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Answer: Standard cluster
A standard cluster is preferred over a single-node cluster in scenarios requiring extensive data processing and model training due to its scalability and ability to allocate resources more efficiently. Standard clusters can handle large datasets and parallelize tasks across multiple nodes, which is crucial for performance and cost efficiency in large-scale ML projects.
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In a scenario where you are managing a machine learning project that requires extensive data processing and model training, which type of cluster would you prefer: a standard cluster or a single-node cluster? Explain your choice considering factors such as scalability, resource allocation, and cost efficiency.
A
Single-node cluster
B
Standard cluster
C
Neither, both are equally suitable
D
It depends on the specific project requirements
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