KCNA · Question #21
What factors influence the Kubernetes scheduler when it places Pods on nodes?
The correct answer is A. Pod memory requests, node taints, and Pod affinity. The Kubernetes scheduler places Pods on nodes by evaluating resource requests, node taints, and Pod affinity/anti-affinity rules.
Question
What factors influence the Kubernetes scheduler when it places Pods on nodes?
Options
- APod memory requests, node taints, and Pod affinity.
- BPod labels, node labels, and request labels.
- CNode taints, node level, and Pod priority.
- DPod priority, container command, and node labels.
How the community answered
(30 responses)- A87% (26)
- B3% (1)
- C7% (2)
- D3% (1)
Why each option
The Kubernetes scheduler places Pods on nodes by evaluating resource requests, node taints, and Pod affinity/anti-affinity rules.
The Kubernetes scheduler considers Pod memory and CPU requests to find nodes with sufficient available resources. Node taints repel Pods that do not have matching tolerations, while Pod affinity and anti-affinity rules attract or repel Pods based on the presence of other Pods or node labels.
Pod labels and node labels are used by selectors for grouping, but 'request labels' is not a standard scheduling factor influencing Pod placement.
While node taints and Pod priority are factors, 'node level' is not a standard Kubernetes scheduling criterion.
Pod priority and node labels influence scheduling decisions, but the 'container command' is an internal detail of the container's execution, not a scheduler input.
Concept tested: Kubernetes scheduler factors and policies
Source: https://kubernetes.io/docs/concepts/scheduling-eviction/kube-scheduler/
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