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Answer: Utilize AWS Application Discovery Service and deploy the data collection agent to each virtual machine within the data center.
The most cost-effective method to collect detailed metrics, such as CPU, memory, disk utilization, an inventory of running processes, and network connections, is to use AWS Application Discovery Service with the data collection agent deployed on each virtual machine (Option A). This approach is specifically designed for comprehensive data collection and provides the detailed insights the company requires. The other options do not offer the same level of granularity, especially in terms of network connections and running processes.
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A company is in the process of migrating to the cloud and aims to accurately size new Amazon EC2 instances by evaluating the configurations of virtual machines in their existing data center. They require detailed metrics such as CPU, memory, and disk utilization, as well as an inventory of running processes on each instance. Additionally, they want to monitor network connections to understand server-to-server communications. What is the most cost-effective method to collect this comprehensive data?
A
Utilize AWS Application Discovery Service and deploy the data collection agent to each virtual machine within the data center.
B
Install the Amazon CloudWatch agent on all on-premises servers and configure them to send metrics to Amazon CloudWatch Logs.
C
Employ AWS Application Discovery Service and activate agentless discovery within the current virtualization setup.
D
Initiate AWS Application Discovery Service through the AWS Management Console and set up the corporate firewall to permit VPN-based scans.
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