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Reliable KCNA Real Exam & KCNA Detailed Study Plan

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Reliable KCNA Real Exam & KCNA Detailed Study Plan

Posted at 1/15/2026 15:08:01      View：24 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S. Free & New KCNA dumps are available on Google Drive shared by Easy4Engine: https://drive.google.com/open?id=1pgeNf3qtfsXMwm76xDLwidJZUuMykRZT
Our specialists check daily to find whether there is an update on the KCNA study tool. If there is an update system, we will automatically send it to you. Therefore, we can guarantee that our KCNA test torrent has the latest knowledge and keep up with the pace of change. Many people are worried about electronic viruses of online shopping. But you don't have to worry about our products. Our KCNA Exam Materials are absolutely safe and virus-free. If you encounter installation problems, we have professional IT staff to provide you with remote online guidance. We always put your needs in the first place.
The Kubernetes and Cloud Native Associate (KCNA) certification is an entry-level certification that is ideal for individuals who want to start their careers in the field of cloud-native technologies. Kubernetes and Cloud Native Associate certification offers a solid foundation in Kubernetes and cloud-native technologies, which are essential for building and managing modern applications in the cloud.
Linux Foundation KCNA Certification Exam is a rigorous, performance-based exam that tests the candidate's ability to perform real-world tasks in Kubernetes and cloud native environments. KCNA Exam is conducted online, and candidates are required to complete a set of hands-on tasks within a specified time frame. KCNA exam is designed to assess the candidate's ability to deploy, manage, and troubleshoot Kubernetes clusters and cloud native applications.
KCNA Detailed Study Plan & KCNA New Braindumps QuestionsAll the Easy4Engine Linux Foundation KCNA practice questions are real and based on actual Kubernetes and Cloud Native Associate (KCNA) exam topics. The web-based Kubernetes and Cloud Native Associate (KCNA) practice test is compatible with all operating systems like Mac, IOS, Android, and Windows. Because of its browser-based Linux Foundation KCNA Practice Exam, it requires no installation to proceed further. Similarly, Chrome, IE, Firefox, Opera, Safari, and all the major browsers support the Kubernetes and Cloud Native Associate (KCNA) practice test.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) certification exam is designed to test the candidate's knowledge and understanding of Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification is ideal for individuals who are interested in pursuing a career in cloud computing and want to validate their skills and knowledge in this area.
Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q35-Q40):NEW QUESTION # 35
You are using Flux to manage your Kubernetes cluster with GitOps. You need to ensure that all deployments are automatically rolled back to the previous version if they fail. Which configuration option in Flux would you use to achieve this?
  • A.
  • B.
  • C.
  • D.
  • E.
Answer: C
Explanation:
The •rollbackConfig• option in Flux allows you to define rollback strategies for deployments. Setting 'failed: true' ensures that if a deployment fails, it will be automatically rolled back to the previous working version, minimizing downtime and ensuring stability.

NEW QUESTION # 36
What Linux namespace is shared by default by containers running within a Kubernetes Pod?
  • A. Host Network
  • B. Process ID
  • C. Network
  • D. Process Name
Answer: C
Explanation:
By default, containers in the same Kubernetes Pod share the network namespace, which means they share the same IP address and port space. Therefore, the correct answer is B (Network).
This shared network namespace is a key part of the Pod abstraction. Because all containers in a Pod share networking, they can communicate with each other over localhost and coordinate tightly, which is the basis for patterns like sidecars (service mesh proxies, log shippers, config reloaders). It also means containers must coordinate port usage: if two containers try to bind the same port on 0.0.0.0, they'll conflict because they share the same port namespace.
Option A ("Host Network") is different: hostNetwork: true is an optional Pod setting that puts the Pod into the node's network namespace, not the Pod's shared namespace. It is not the default and is generally used sparingly due to security and port-collision risks. Option C ("rocess ID") is not shared by default in Kubernetes; PID namespace sharing requires explicitly enabling process namespace sharing (e.g., shareProcessNamespace: true). Option D ("rocess Name") is not a Linux namespace concept.
The Pod model also commonly implies shared storage volumes (if defined) and shared IPC namespace in some configurations, but the universally shared-by-default namespace across containers in the same Pod is the network namespace. This default behavior is why Kubernetes documentation explains a Pod as a "logical host" for one or more containers: the containers are co-located and share certain namespaces as if they ran on the same host.
So, the correct, verified answer is B: containers in the same Pod share the Network namespace by default.

NEW QUESTION # 37
What is the primary role of the kubelet in the Kubernetes runtime environment?
  • A. Ensuring that pods are running as specified in their YAML files.
  • B. Managing the network connectivity for pods in the cluster.
  • C. Managing the communication between nodes in the cluster.
  • D. Scheduling pods to nodes based on resource availability.
  • E. Maintaining the health of the Kubernetes master node.
Answer: A
Explanation:
The kubelet is responsible for ensuring that pods are running as specified in their YAML files. It monitors the containers within a pod, restarts them if they fail, and manages the resources allocated to the pod. The kubelet is a crucial component of the Kubernetes runtime environment, ensuring that pods are running correctly and as expected.

NEW QUESTION # 38
Which statement about Secrets is correct?
  • A. Secret data is encrypted with the cluster private key by default.
  • B. Secret data is base64 encoded and stored unencrypted by default.
  • C. A Secret is part of a Pod specification.
  • D. A Secret can only be used for confidential data.
Answer: B
Explanation:
The correct answer is C. By default, Kubernetes Secrets store their data as base64-encoded values in the API (backed by etcd). Base64 is an encoding mechanism, not encryption, so this does not provide confidentiality. Unless you explicitly configure encryption at rest for etcd (via the API server encryption provider configuration) and secure access controls, Secret contents should be treated as potentially readable by anyone with sufficient API access or access to etcd backups.
Option A is misleading: a Secret is its own Kubernetes resource (kind: Secret). While Pods can reference Secrets (as environment variables or mounted volumes), the Secret itself is not "part of the Pod spec" as an embedded object. Option B is incorrect because Kubernetes does not automatically encrypt Secret data with a cluster private key by default; encryption at rest is optional and must be enabled. Option D is incorrect because Secrets can store a range of sensitive or semi-sensitive data (tokens, certs, passwords), but Kubernetes does not enforce "only confidential data" semantics; it's a storage mechanism with size and format constraints.
Operationally, best practices include: enabling encryption at rest, limiting access via RBAC, avoiding broad "list/get secrets" permissions, using dedicated service accounts, auditing access, and considering external secrets managers (Vault, cloud KMS-backed solutions) for higher assurance. Also, don't confuse "Secret" with "secure by default." The default protection is mainly about avoiding accidental plaintext exposure in manifests, not about cryptographic security.
So the only correct statement in the options is C.

NEW QUESTION # 39
You have a critical application that must always be running on a specific node for high availability purposes. Which of the following Kubernetes features can be used to enforce this requirement?
  • A. Pod anti-affinity
  • B. Node affinity
  • C. Node anti-affinity
  • D. Taints and tolerations
  • E. Pod affinity
Answer: B,D
Explanation:
You can use both •nodeAffinity• and •taints and tolerationS to enforce scheduling on a specific node: •nodeAffinity•: Define a strong preference for scheduling on the desired node using 'requiredDuringSchedulinglgnoredDuringExecution'. This ensures that the pod is scheduled on the target node initially. *Taints and TolerationS: You can taint the desired node with a specific key-value pair. Then, configure the pod to tolerate that specific taint. This ensures that the pod can only be scheduled on the node that has that taint applied. While 'podAffinity• can be used for grouping pods together, it does not directly enforce scheduling on a specific node. •nodeAntiAffinity• and •podAntiAffinity• are used to prevent pods from being scheduled on the same or similar nodes, not to force them onto specific node.

NEW QUESTION # 40
......
KCNA Detailed Study Plan: https://www.easy4engine.com/KCNA-test-engine.html
P.S. Free 2026 Linux Foundation KCNA dumps are available on Google Drive shared by Easy4Engine: https://drive.google.com/open?id=1pgeNf3qtfsXMwm76xDLwidJZUuMykRZT
https://www.braindumpstudy.com
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