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Answer: Multi-node Cluster
The optimal cluster type for big data processing and advanced analytics is a **Multi-node Cluster**. Here's why: - **High Performance**: These clusters are built to handle large datasets and complex algorithms efficiently. - **Parallel Processing**: They support distributing tasks across nodes, speeding up processing. - **Scalability**: Easily expandable to meet growing data and computational needs. - **Fault Tolerance**: Designed to manage node failures without disrupting operations. While other cluster types like Single-node or Task-specific may fit certain scenarios, they lack the versatility and power needed for demanding big data tasks. Standard Clusters offer a middle ground but may not suffice for intensive analytics workloads. Thus, a Multi-node Cluster is the most suitable choice for such advanced requirements.
Author: LeetQuiz Editorial Team
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Your team is embarking on a machine learning project that demands a cluster specifically designed for big data processing and advanced analytics. Which cluster type would best suit these requirements?
A
Single-node Cluster
B
Task-specific Cluster
C
Standard Cluster
D
Multi-node Cluster
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