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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate |
| Exam Number: | KCNA |
| Real Exam Qty: | 60 |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Passing Score: | 75% (approximately 45 out of 60) |
| Available Languages: | Japanese, English |
| Related Certifications: | CKAD (Certified Kubernetes Application Developer) CKA (Certified Kubernetes Administrator) CKS (Certified Kubernetes Security Specialist) |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online, proctored exam |
| Pre Condition: | None. No prerequisites required. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate |
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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) exam is an entry-level certification program that is designed to validate the knowledge and skills of individuals who are interested in working with Kubernetes and cloud-native technologies. KCNA Exam is designed for professionals who are looking to gain a strong foundational understanding of Kubernetes, containerization, and orchestration technologies.
NEW QUESTION # 158
Which resource do you use to attach a volume in a Pod?
Answer: A
Explanation:
In Kubernetes, Pods typically attach persistent storage by referencing a PersistentVolumeClaim (PVC), making D correct. A PVC is a user's request for storage with specific requirements (size, access mode, storage class). Kubernetes then binds the PVC to a matching PersistentVolume (PV) (either pre-provisioned statically or created dynamically via a StorageClass and CSI provisioner). The Pod does not directly attach a PV; it references the PVC, and Kubernetes handles the binding and mounting.
This design separates responsibilities: administrators (or CSI drivers) manage PV provisioning and backend storage details, while developers consume storage via PVCs. In a Pod spec, you define a volume of type persistentVolumeClaim and set claimName: <pvc-name>, then mount that volume into containers at a path. The kubelet coordinates with the CSI driver (or in-tree plugin depending on environment) to attach/mount the underlying storage to the node and then into the Pod.
Option B (PersistentVolume) is not directly referenced by Pods; PVs are cluster resources that represent actual storage. Pods don't "pick" PVs; claims do. Option C (StorageClass) defines provisioning parameters (e.g., disk type, replication, binding mode) but is not what a Pod references to mount a volume. Option A is not a Kubernetes resource type.
Operationally, using PVCs enables dynamic provisioning and portability: the same Pod spec can be deployed across clusters where the StorageClass name maps to appropriate backend storage. It also supports lifecycle controls like reclaim policies (Delete/Retain) and snapshot/restore workflows depending on CSI capabilities.
So the Kubernetes resource you use in a Pod to attach a persistent volume is PersistentVolumeClaim, option D.
NEW QUESTION # 159
You are running a sensitive application in Kubernetes that requires access to the host network. Which of the following security measures is MOST important to mitigate the risk of potential security breaches?
Answer: A
Explanation:
While accessing the host network can be necessary for some applications, it introduces security risks. Using Network Policies to restrict access to the host network for your sensitive application is crucial. This allows you to control which pods can communicate with the host network, reducing the risk of unauthorized access and potential security breaches.
NEW QUESTION # 160
What component enables end users, different parts of the Kubernetes cluster, and external components to communicate with one another?
Answer: B
Explanation:
The Kubernetes API is the central interface that enables communication between users, controllers, nodes, and external integrations, so C is correct. Kubernetes is fundamentally an API-driven system: all cluster state is represented as API objects, and all operations-create, update, delete, watch-flow through the API server.
End users typically interact with the Kubernetes API using tools like kubectl, client libraries, or dashboards. But those tools are clients; the shared communication "hub" is the API itself. Inside the cluster, core control plane components (controllers, scheduler) continuously watch the API for desired state and write status updates back. Worker nodes (via kubelet) also communicate with the API server to receive Pod specs, report node health, and update Pod statuses. External systems-cloud provider integrations, CI/CD pipelines, GitOps controllers, monitoring and policy engines-also integrate primarily through the Kubernetes API.
Option A (kubectl) is a CLI that talks to the Kubernetes API; it is not the underlying component that all parts use to communicate. Options B and D are cloud-provider tools and are not universal to Kubernetes clusters. Kubernetes runs across many environments, and the consistent interoperability layer is the Kubernetes API.
This API-centric architecture is what enables Kubernetes' declarative model: you submit desired state to the API, and controllers reconcile actual state to match. It also enables extensibility: CRDs and admission webhooks expand what the API can represent and enforce. Therefore, the correct answer is C: Kubernetes API.
NEW QUESTION # 161
Which of these components is part of the Kubernetes Control Plane?
Answer: A
Explanation:
The Kubernetes control plane is the set of components responsible for making cluster-wide decisions (like scheduling) and detecting and responding to cluster events (like starting new Pods when they fail). In upstream Kubernetes architecture, the canonical control plane components include kube-apiserver, etcd, kube-scheduler, and kube-controller-manager, and-when running on a cloud provider-the cloud- controller-manager. That makes option B the correct answer: cloud-controller-manager is explicitly a control plane component that integrates Kubernetes with the underlying cloud.
The cloud-controller-manager runs controllers that talk to cloud APIs for infrastructure concerns such as node lifecycle, routes, and load balancers. For example, when you create a Service of type LoadBalancer, a controller in this component is responsible for provisioning a cloud load balancer and updating the Service status. This is clearly control-plane behavior: reconciling desired state into real infrastructure state.
Why the others are not control plane components (in the classic classification): kubelet is a node component (agent) responsible for running and managing Pods on a specific node. kube-proxy is also a node component that implements Service networking rules on nodes. CoreDNS is usually deployed as a cluster add-on for DNS-based service discovery; it's critical, but it's not a control plane component in the strict architectural list.
So, while many clusters run CoreDNS in kube-system, the Kubernetes component that is definitively "part of the control plane" among these choices is cloud-controller-manager (B).
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NEW QUESTION # 162
Which of the following statements accurately describes the role of ArgoCD in GitOps?
Answer: C
Explanation:
ArgoCD is a declarative GitOps engine that uses your Git repository as the single source of truth for your Kubernetes cluster's desired state. It monitors changes in the repository and automatically applies them to the cluster, ensuring consistency and reliability.
NEW QUESTION # 163
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