Kubernetes · Core interview questions

1. A.a worker machine, VM or physical, that runs pods in a cluster
2. B.the node agent that ensures containers described in PodSpecs are running and healthy
3. C.a plugin that intercepts API requests to validate or mutate objects before persistence
4. D.the smallest deployable unit, wrapping one or more containers that share network and storage

Answer + AI explanation with Pro

1. A.Controller manager
2. B.Operator
3. C.Pod
4. D.etcd

Answer + AI explanation with Pro

1. A.Pod — a worker machine, VM or physical, that runs pods in a cluster
2. B.Pod — the smallest deployable unit, wrapping one or more containers that share network and storage
3. C.Pod — a control-plane process running reconciliation loops that drive actual state toward desired state
4. D.Pod — a custom controller that encodes operational knowledge to manage a stateful application

Answer + AI explanation with Pro

1. A.a custom controller that encodes operational knowledge to manage a stateful application
2. B.a worker machine, VM or physical, that runs pods in a cluster
3. C.a query over labels used to identify and group a set of objects
4. D.the node agent that ensures containers described in PodSpecs are running and healthy

Answer + AI explanation with Pro

1. A.Operator
2. B.Scheduler
3. C.Node
4. D.API server

Answer + AI explanation with Pro

1. A.Node — the consistent key-value store that holds all cluster state
2. B.Node — a custom controller that encodes operational knowledge to manage a stateful application
3. C.Node — a worker machine, VM or physical, that runs pods in a cluster
4. D.Node — an extension mechanism that adds new API object types to a cluster

Answer + AI explanation with Pro

1. A.the control-plane front end that validates and serves the Kubernetes REST API
2. B.a virtual cluster partition that scopes and isolates groups of resources
3. C.the control-plane component that assigns newly created pods to suitable nodes
4. D.a control-plane process running reconciliation loops that drive actual state toward desired state

Answer + AI explanation with Pro

1. A.kubelet
2. B.Namespace
3. C.Custom Resource Definition
4. D.Reconciliation loop

Answer + AI explanation with Pro

1. A.Namespace — a virtual cluster partition that scopes and isolates groups of resources
2. B.Namespace — the continuous process of comparing desired and current state and acting to close the gap
3. C.Namespace — a plugin that intercepts API requests to validate or mutate objects before persistence
4. D.Namespace — a control-plane process running reconciliation loops that drive actual state toward desired state

Answer + AI explanation with Pro

1. A.the node agent that ensures containers described in PodSpecs are running and healthy
2. B.the control-plane component that assigns newly created pods to suitable nodes
3. C.a control-plane process running reconciliation loops that drive actual state toward desired state
4. D.a query over labels used to identify and group a set of objects

Answer + AI explanation with Pro

1. A.kubelet
2. B.etcd
3. C.Controller manager
4. D.Custom Resource Definition

Answer + AI explanation with Pro

1. A.kubelet — a virtual cluster partition that scopes and isolates groups of resources
2. B.kubelet — a plugin that intercepts API requests to validate or mutate objects before persistence
3. C.kubelet — the node agent that ensures containers described in PodSpecs are running and healthy
4. D.kubelet — the consistent key-value store that holds all cluster state

Answer + AI explanation with Pro

1. A.a custom controller that encodes operational knowledge to manage a stateful application
2. B.a control-plane process running reconciliation loops that drive actual state toward desired state
3. C.the continuous process of comparing desired and current state and acting to close the gap
4. D.the consistent key-value store that holds all cluster state

Answer + AI explanation with Pro

1. A.Pod
2. B.etcd
3. C.Admission controller
4. D.Label selector

Answer + AI explanation with Pro

1. A.etcd — the control-plane front end that validates and serves the Kubernetes REST API
2. B.etcd — the consistent key-value store that holds all cluster state
3. C.etcd — a plugin that intercepts API requests to validate or mutate objects before persistence
4. D.etcd — the control-plane component that assigns newly created pods to suitable nodes

Answer + AI explanation with Pro

1. A.a control-plane process running reconciliation loops that drive actual state toward desired state
2. B.the smallest deployable unit, wrapping one or more containers that share network and storage
3. C.the control-plane front end that validates and serves the Kubernetes REST API
4. D.a query over labels used to identify and group a set of objects

Answer + AI explanation with Pro

1. A.Node
2. B.API server
3. C.Reconciliation loop
4. D.Scheduler

Answer + AI explanation with Pro

1. A.API server — the consistent key-value store that holds all cluster state
2. B.API server — a worker machine, VM or physical, that runs pods in a cluster
3. C.API server — the control-plane front end that validates and serves the Kubernetes REST API
4. D.API server — a control-plane process running reconciliation loops that drive actual state toward desired state

Answer + AI explanation with Pro

1. A.a worker machine, VM or physical, that runs pods in a cluster
2. B.the consistent key-value store that holds all cluster state
3. C.a control-plane process running reconciliation loops that drive actual state toward desired state
4. D.a custom controller that encodes operational knowledge to manage a stateful application

Answer + AI explanation with Pro

1. A.kubelet
2. B.Controller manager
3. C.etcd
4. D.Reconciliation loop

Answer + AI explanation with Pro

1. A.Controller manager — an extension mechanism that adds new API object types to a cluster
2. B.Controller manager — a control-plane process running reconciliation loops that drive actual state toward desired state
3. C.Controller manager — a query over labels used to identify and group a set of objects
4. D.Controller manager — the control-plane front end that validates and serves the Kubernetes REST API

Answer + AI explanation with Pro

1. A.the control-plane component that assigns newly created pods to suitable nodes
2. B.an extension mechanism that adds new API object types to a cluster
3. C.a worker machine, VM or physical, that runs pods in a cluster
4. D.the control-plane front end that validates and serves the Kubernetes REST API

Answer + AI explanation with Pro

1. A.Label selector
2. B.Scheduler
3. C.Reconciliation loop
4. D.kubelet

Answer + AI explanation with Pro

1. A.Scheduler — the node agent that ensures containers described in PodSpecs are running and healthy
2. B.Scheduler — a virtual cluster partition that scopes and isolates groups of resources
3. C.Scheduler — the control-plane component that assigns newly created pods to suitable nodes
4. D.Scheduler — the smallest deployable unit, wrapping one or more containers that share network and storage

Answer + AI explanation with Pro

1. A.a custom controller that encodes operational knowledge to manage a stateful application
2. B.a plugin that intercepts API requests to validate or mutate objects before persistence
3. C.the node agent that ensures containers described in PodSpecs are running and healthy
4. D.a query over labels used to identify and group a set of objects

Answer + AI explanation with Pro

1. A.Label selector
2. B.API server
3. C.Scheduler
4. D.Namespace

Answer + AI explanation with Pro

1. A.Label selector — the control-plane front end that validates and serves the Kubernetes REST API
2. B.Label selector — a query over labels used to identify and group a set of objects
3. C.Label selector — the control-plane component that assigns newly created pods to suitable nodes
4. D.Label selector — the consistent key-value store that holds all cluster state

Answer + AI explanation with Pro

1. A.a virtual cluster partition that scopes and isolates groups of resources
2. B.the consistent key-value store that holds all cluster state
3. C.the node agent that ensures containers described in PodSpecs are running and healthy
4. D.the continuous process of comparing desired and current state and acting to close the gap

Answer + AI explanation with Pro

1. A.Pod
2. B.Operator
3. C.Scheduler
4. D.Reconciliation loop

Answer + AI explanation with Pro

1. A.Reconciliation loop — the continuous process of comparing desired and current state and acting to close the gap
2. B.Reconciliation loop — a virtual cluster partition that scopes and isolates groups of resources
3. C.Reconciliation loop — the smallest deployable unit, wrapping one or more containers that share network and storage
4. D.Reconciliation loop — an extension mechanism that adds new API object types to a cluster

Answer + AI explanation with Pro