A company is migrating to the cloud. It wants to evaluate the configurations of virtual machines in its existing data center environment to ensure that it can size new Amazon EC2 instances…

AWS Application Discovery Service with the data collection agent deployed to each virtual machine is specifically designed for migration planning, accurately gathering detailed CPU, memory, and disk utilization, inventory of running processes, and network connections, making it the most comprehensive and cost-effective solution for this specific assessment.

While the Amazon CloudWatch agent can collect some system metrics, it is primarily for operational monitoring and would require extensive custom configuration to gather a full inventory of running processes and map network connections in the comprehensive way that Application Discovery Service does for migration assessment.

Agentless discovery in AWS Application Discovery Service typically gathers basic server configuration and network dependencies but provides less granular performance metrics (like memory and disk utilization over time) and process inventory compared to the agent-based method.

This option is essentially describing the same approach as A, but A is phrased more directly as the action to take. Using the agent for AWS Application Discovery Service is the correct method, implying A or D would be suitable.