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CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #64

When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?

The correct answer is E. CPU Utilization is around 75%. In the context of cluster performance and resource utilization, a CPU utilization rate of around 75% is generally considered a good indicator of efficient resource usage. This level of CPU utilization suggests that the cluster is being effectively used without being…

Cluster Monitoring and Optimization

Question

When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?

Options

  • AThe five Minute Load Average remains consistent/flat
  • BBytes Received never exceeds 80 million bytes per second
  • CNetwork I/O never spikes
  • DTotal Disk Space remains constant
  • ECPU Utilization is around 75%

How the community answered

(41 responses)
  • B
    5% (2)
  • C
    2% (1)
  • D
    2% (1)
  • E
    90% (37)

Explanation

In the context of cluster performance and resource utilization, a CPU utilization rate of around 75% is generally considered a good indicator of efficient resource usage. This level of CPU utilization suggests that the cluster is being effectively used without being overburdened or underutilized. A consistent 75% CPU utilization indicates that the cluster's processing power is being effectively employed while leaving some headroom to handle spikes in workload or additional tasks without maxing out the CPU, which could lead to performance degradation. A five Minute Load Average that remains consistent/flat (Option A) might indicate underutilization or a bottleneck elsewhere. Monitoring network I/O (Options B and C) is important, but these metrics alone don't provide a complete picture of resource utilization efficiency. Total Disk Space (Option D) remaining constant is not necessarily an indicator of proper resource utilization, as it's more related to storage rather than computational efficiency.

Topics

#Performance Monitoring#Resource Utilization#Cluster Management#Ganglia Metrics

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