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Answer: Amazon EKS, consider the choice of Kubernetes node types and the number of nodes, as well as horizontal pod autoscaling.
Option D is the most appropriate choice for this scenario. Amazon EKS is a fully managed Kubernetes service that can handle complex data processing tasks with high concurrency. When scaling the service to handle high concurrency, consider the choice of Kubernetes node types, which determine the CPU and memory resources available to the containers. Additionally, the number of nodes in the cluster should be chosen based on the workload requirements to ensure sufficient resources for processing tasks. To handle high concurrency, you can leverage Kubernetes' horizontal pod autoscaling feature, which automatically adjusts the number of pods based on CPU utilization or custom metrics.
Author: LeetQuiz Editorial Team
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Your company is planning to implement a data transformation service that can handle complex data processing tasks with high concurrency. Which AWS service would you recommend, and what are the key considerations for scaling the service to handle high concurrency?
A
Amazon EMR, consider the choice of cluster instance types and the number of nodes.
B
Amazon ECS, consider the choice of container instance types and the number of containers.
C
AWS Lambda, consider the function's memory allocation and timeout settings.
D
Amazon EKS, consider the choice of Kubernetes node types and the number of nodes, as well as horizontal pod autoscaling.
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