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[Hardware] KCNA Exam Price, Reliable KCNA Exam Simulator

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【Hardware】 KCNA Exam Price, Reliable KCNA Exam Simulator

Posted at yesterday 06:09      View：3 | Replies：0        Print      Only Author   [Copy Link] 1#
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q69-Q74):NEW QUESTION # 69
What is the command used to login to the pod?
  • A. kubectl list
  • B. kubectl exec
  • C. kubectl get
  • D. kubectl login
Answer: B
Explanation:
https://kubernetes.io/docs/refer ... bectl-commands#exec


NEW QUESTION # 70
What is the purpose of the kubelet component within a Kubernetes cluster?
  • A. An agent that runs on each node in the cluster. It makes sure that containers are running in a Pod.
  • B. A component that watches for newly created Pods with no assigned node, and selects a node for them to run on.
  • C. A network proxy that runs on each node in your cluster, implementing part of the Kubernetes Service concept.
  • D. A dashboard for Kubernetes clusters that allows management and troubleshooting of applications.
Answer: A
Explanation:
The kubelet is the primary node agent in Kubernetes. It runs on every worker node (and often on control-plane nodes too if they run workloads) and is responsible for ensuring that containers described by PodSpecs are actually running and healthy on that node. The kubelet continuously watches the Kubernetes API (via the control plane) for Pods that have been scheduled to its node, then it collaborates with the node's container runtime (through CRI) to pull images, create containers, start them, and manage their lifecycle. It also mounts volumes, configures the Pod's networking (working with the CNI plugin), and reports Pod and node status back to the API server.
Option D captures the core: "an agent on each node that makes sure containers are running in a Pod." That includes executing probes (liveness, readiness, startup), restarting containers based on the Pod's restartPolicy, and enforcing resource constraints in coordination with the runtime and OS.
Why the other options are wrong: A describes the Kubernetes Dashboard (or similar UI tools), not kubelet. B describes kube-proxy, which programs node-level networking rules (iptables/ipvs/eBPF depending on implementation) to implement Service virtual IP behavior. C describes the kube-scheduler, which selects a node for Pods that do not yet have an assigned node.
A useful way to remember kubelet's role is: scheduler decides where, kubelet makes it happen there. Once the scheduler binds a Pod to a node, kubelet becomes responsible for reconciling "desired state" (PodSpec) with "observed state" (running containers). If a container crashes, kubelet will restart it according to policy; if an image is missing, it will pull it; if a Pod is deleted, it will stop containers and clean up. This node-local reconciliation loop is fundamental to Kubernetes' self-healing and declarative operation model.

NEW QUESTION # 71
What helps an organization to deliver software more securely at a higher velocity?
  • A. Kubernetes
  • B. apt-get
  • C. Docker Images
  • D. CI/CD Pipeline
Answer: D
Explanation:
A CI/CD pipeline is a core practice/tooling approach that enables organizations to deliver software faster and more securely, so D is correct. CI (Continuous Integration) automates building and testing code changes frequently, reducing integration risk and catching defects early. CD (Continuous Delivery/Deployment) automates releasing validated builds into environments using consistent, repeatable steps-reducing manual errors and enabling rapid iteration.
Security improves because automation enables standardized checks on every change: static analysis, dependency scanning, container image scanning, policy validation, and signing/verification steps can be integrated into the pipeline. Instead of relying on ad-hoc human processes, security controls become repeatable gates. In Kubernetes environments, pipelines commonly build container images, run tests, publish artifacts to registries, and then deploy via manifests, Helm, or GitOps controllers-keeping deployments consistent and auditable.
Option A (Kubernetes) is a platform that helps run and manage workloads, but by itself it doesn't guarantee secure high-velocity delivery. It provides primitives (rollouts, declarative config, RBAC), yet the delivery workflow still needs automation. Option B (apt-get) is a package manager for Debian-based systems and is not a delivery pipeline. Option C (Docker Images) are artifacts; they improve portability and repeatability, but they don't provide the end-to-end automation of building, testing, promoting, and deploying across environments.
In cloud-native application delivery, the pipeline is the "engine" that turns code changes into safe production releases. Combined with Kubernetes' declarative deployment model (Deployments, rolling updates, health probes), a CI/CD pipeline supports frequent releases with controlled rollouts, fast rollback, and strong auditability. That is exactly what the question is targeting. Therefore, the verified answer is D.

NEW QUESTION # 72
What are the key differences between a PersistentVolume (PV) and a PersistentVolumeClaim (PVC) in Kubernetes?
  • A. PV is a request for storage, while PVC represents the actual storage provisioned.
  • B. PV is a persistent storage resource defined in Kubernetes while PVC is a request for a PV by a pod or application.
  • C. PVC is a resource that can be shared by multiple pods, while PV is always associated with a single pod
  • D. PV represents a request for storage, while PVC represents the actual storage provisioned.
  • E. PVC is a resource that can be shared by multiple pods, while PV is always associated with a single pod
Answer: B
Explanation:
PVs are persistent storage resources defined in Kubernetes that can be used to provision storage to pods. PVCs are requests for a PV by a pod or application, specifying the required storage size, access modes, and other attributes. PVs can be shared among multiple pods, but each pod needs a PVC to access the PV.

NEW QUESTION # 73
Which of the following workload requires a headless Service while deploying into the namespace?
  • A. DaemonSet
  • B. Deployment
  • C. CronJob
  • D. StatefulSet
Answer: D
Explanation:
A StatefulSet commonly requires a headless Service, so A is the correct answer. In Kubernetes, StatefulSets are designed for workloads that need stable identities, stable network names, and often stable storage per replica. To support that stable identity model, Kubernetes typically uses a headless Service (spec.clusterIP: None) to provide DNS records that map directly to each Pod, rather than load-balancing behind a single virtual ClusterIP.
With a headless Service, DNS queries return individual endpoint records (the Pod IPs) so that each StatefulSet Pod can be addressed predictably, such as pod-0.service-name.namespace.svc.cluster.local. This is critical for clustered databases, quorum systems, and leader/follower setups where members must discover and address specific peers. The StatefulSet controller then ensures ordered creation/deletion and preserves identity (pod-0, pod-1, etc.), while the headless Service provides discovery for those stable hostnames.
CronJobs run periodic Jobs and don't require stable DNS identity for multiple replicas. Deployments manage stateless replicas and normally use a standard Service that load-balances across Pods. DaemonSets run one Pod per node, and while they can be exposed by Services, they do not intrinsically require headless discovery.
So while you can use a headless Service for other designs, StatefulSet is the workload type most associated with "requires a headless Service" due to how stable identities and per-Pod addressing work in Kubernetes.
________________________________________

NEW QUESTION # 74
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