A new analytics cluster is suffering performance slowdowns. Logs reveal high CPU and memory use even at moderate demand, but no major software errors are found. Which choice best addresses these recurring slowdowns?
Upgrade the compute environment to larger instances
Restart the entire cluster to clear any lingering tasks
Increasing capacity helps manage peak loads and prevents performance bottlenecks that occur when resources are insufficient. Reducing allocation or only adjusting network parameters would not resolve the core performance bottleneck caused by lack of computing power. Restarting the cluster is a short-term workaround and does not address the underlying shortage of available resources.
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Why does upgrading compute instances help with performance bottlenecks?
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What is a performance bottleneck in a compute environment?
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Why is restarting the cluster not an effective solution?