A company wants to run big data workloads on Amazon EMR. The workloads need to process terabytes of data in memory. A solutions architect needs to identify the appropriate EMR cluster instance configu

Question

Options

• AUse a storage optimized instance for the primary node. Use compute optimized instances for core
• BUse a memory optimized instance for the primary node. Use storage optimized instances for core
• CUse a general purpose instance for the primary node. Use memory optimized instances for core
• DUse general purpose instances for the primary, core, and task nodes.

• A
  13% (4)
• B
  3% (1)
• C
  73% (22)
• D
  10% (3)

Explanation

Big data workloads that need to process terabytes of data in memory requirememory-optimized instancesfor the core and task nodes to ensure sufficient memory for processing data efficiently. Primary Node:Ageneral purpose instanceis suitable because it manages cluster operations, including coordination and monitoring, and does not process data directly. Core and Task Nodes:These nodes handle data storage and processing.Memory-optimized instancesare ideal because they provide high memory-to-CPU ratios, which is critical for in-memory big data Why Other Options Are Incorrect: Option A: Storage optimized and compute optimized instances are not suitable for workloads that rely heavily on in-memory processing. Option B: A memory-optimized primary node is unnecessary because the primary node does not Option D: General purpose instances for all nodes will not provide sufficient memory for processing terabytes of data in memory.

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