Microsoft Azure Administrator Associate AZ-104 Practice Question
An application running in your Azure Kubernetes cluster experiences fluctuating demand, leading to inconsistent performance. To maintain optimal performance and minimize costs, you need to automatically adjust the number of nodes in the cluster based on the workload.
Which feature should you implement?
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Implement a canary deployment strategy to manage updates
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Manually adjust the number of virtual machines in the cluster
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Utilize the Horizontal Pod Autoscaler to scale pods
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Enable the Cluster Autoscaler to automatically adjust node counts
To automatically adjust the number of nodes in an Azure Kubernetes cluster based on workload, you should enable the Cluster Autoscaler. The Cluster Autoscaler monitors the resource demands of pods and adjusts the number of nodes by adding or removing virtual machines to meet those demands efficiently. This ensures that the cluster scales out when more resources are needed and scales in when there is less demand, optimizing performance and cost.
The Horizontal Pod Autoscaler adjusts the number of pods based on CPU or memory utilization but does not add or remove nodes; it operates within the existing cluster capacity. Manually adjusting the number of virtual machines requires human intervention and does not provide automatic scaling in response to workload changes. A canary deployment strategy is used for testing new versions of applications with a small subset of users and does not address automatic scaling.
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What is the Cluster Autoscaler, and how does it work in Azure Kubernetes Service?
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How does the Horizontal Pod Autoscaler differ from the Cluster Autoscaler?
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What resources does the Cluster Autoscaler monitor to determine when to scale nodes?
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Microsoft Azure Administrator Associate AZ-104
Deploy and manage Azure compute resources
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