400-007 · Question #129
Company XYZ has a hub-and-spoke topology over an SP-managed infrastructure. To measure traffic performance metrics, they implemented IP SLA senders on all spoke CE routers and an IP SLA responder on…
The correct answer is C. CPU usage on the hub router. IP SLA responders process all incoming probe packets in software on the hub router, so monitoring CPU usage on the hub is critical as spoke site count grows.
Question
Company XYZ has a hub-and-spoke topology over an SP-managed infrastructure. To measure traffic performance metrics, they implemented IP SLA senders on all spoke CE routers and an IP SLA responder on the hub CE router. What must they monitor to have visibility on the potential performance impact due to the constantly increasing number of spoke sites?
Options
- ACPU and memory usage on the spoke routers
- Bmemory usage on the hub router
- CCPU usage on the hub router
- Dinterface buffers on the hub and spoke routers
How the community answered
(31 responses)- A10% (3)
- B6% (2)
- C81% (25)
- D3% (1)
Why each option
IP SLA responders process all incoming probe packets in software on the hub router, so monitoring CPU usage on the hub is critical as spoke site count grows.
Each spoke router generates only its own IP SLA probes regardless of total spoke count, so spoke CPU and memory do not scale with the growing number of sites.
IP SLA responder operations are CPU-bound rather than memory-bound, so memory consumption on the hub does not increase significantly as more spoke sites send probes.
The IP SLA responder on the hub CE router handles probe packets from every spoke site using CPU-intensive software processing. As the number of spoke sites increases, the volume of incoming IP SLA test packets scales linearly, placing proportionally greater CPU load on the hub router. This makes CPU usage on the hub the key metric to monitor for potential performance degradation.
Interface buffer utilization relates to traffic queuing and congestion, not to the software processing overhead introduced by IP SLA responder operations.
Concept tested: IP SLA responder CPU scalability in hub-and-spoke
Source: https://www.cisco.com/c/en/us/td/docs/ios-xml/ios/ipsla/configuration/xe-16/sla-xe-16-book/sla_overview.html
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