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A network engineer is investigating widespread reports of poor performance for a data center-hosted web application. Which ThousandEyes agent type would be most effective for quickly identifying the root cause?
According to the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) guidelines, troubleshooting widespread performance issues for a public or data center-hosted app17lication requires an 'outside-in' perspective. When reports are widespread,18 the goal is to determine if the issue is global, regional, or specific to certain ISP paths leading to the data center.
The Cloud Agent (Option D) is the most effective tool for this task because these agents are maintained by Cisco ThousandEyes in over 240+ locations worldwide within Tier 1, 2, and 3 ISPs and cloud provider regions.19 Because they are pre-deployed and immediately available, a network engineer can instantly run tests from multiple global locations toward the data center-hosted application without having to install any software or manage any infrastructure. This allows the engineer to quickly compare performance metrics (latency, loss, and page load times) across different geographies. If Cloud Agents in London report no issues while those in New York report high packet loss, the engineer can immediately pinpoint the root cause as a regional ISP or peering issue rather than a failure within the data center itself.
Enterprise Agent (Option B): While these could be used if they were already installed in various branch offices, they require ownership of the infrastructure and deployment time. They are better suited for 'inside-out' monitoring.
Endpoint Agent (Option C): These are useful for troubleshooting individual user experience but are not the 'quickest' way to baseline global performance against a data center application during a widespread event.
Synthetic Agent (Option A): As noted previously, this is a generic term describing the underlying technology used by all ThousandEyes agent types.
Therefore, Cloud Agents provide the necessary breadth and immediate availability to perform rapid root cause analysis for widespread application performance issues.