What should a solutions architect propose to improve the performance of the workload?
Choose a cluster placement group while launching Amazon EC2 instances.
Choose dedicated instance tenancy while launching Amazon EC2 instances.
Choose an Elastic Inference accelerator while launching Amazon EC2 instances.
Choose the required capacity reservation while launching Amazon EC2 instances.
Explanations:
A cluster placement group enables EC2 instances to be placed physically close together in the same Availability Zone, which reduces network latency and increases throughput for tightly coupled workloads that require fast node-to-node communication.
Dedicated instance tenancy provides instances that run on hardware dedicated to a single customer, which does not directly improve network performance. It may add overhead and reduce the available instance types compared to shared tenancy.
Elastic Inference is used to attach low-cost GPU-powered inference acceleration to Amazon EC2 instances. While this can improve machine learning inference workloads, it does not enhance low-latency or high-throughput networking capabilities for HPC workloads.
Capacity reservations ensure that a certain number of EC2 instances are reserved for a specific customer but do not inherently improve the performance characteristics of network communication or throughput for existing workloads.