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Upon passing the exam, candidates receive a digital badge and certificate that confirms their knowledge and skills in working with Kubernetes and other cloud-native technologies. The Linux Foundation KCNA Certification is recognized by industry leaders and can help individuals advance their careers in the fast-growing field of cloud-native technologies.

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Linux Foundation KCNA Exam is an ideal certification for professionals who are interested in working with cloud-native technologies or who are already working in the field. Kubernetes and Cloud Native Associate certification can help individuals advance their careers and increase their earning potential by demonstrating their expertise in this rapidly growing field. With the increasing adoption of cloud-native technologies by organizations of all sizes, the demand for professionals with KCNA certification is expected to continue to grow in the coming years.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q135-Q140):

NEW QUESTION # 135
How are ConfigMap s correctly used in Kubernetes applications?

Answer: C

Explanation:
A ConfigMap stores non-sensitive configuration data that can be injected into Pods as environment variables or mounted as files, allowing applications to consume configuration without modifying container images.


NEW QUESTION # 136
What is the common standard for Service Meshes?

Answer: D


NEW QUESTION # 137
How are ReplicaSets and Deployments related?

Answer: D


NEW QUESTION # 138
In a cloud native world, what does the IaC abbreviation stand for?

Answer: D

Explanation:
IaC stands for Infrastructure as Code, which is option B. In cloud native environments, IaC is a core operational practice: infrastructure (networks, clusters, load balancers, IAM roles, storage classes, DNS records, and more) is defined using code-like, declarative configuration rather than manual, click-driven changes. This approach mirrors Kubernetes' own declarative model-where you define desired state in manifests and controllers reconcile the cluster to match.
IaC improves reliability and velocity because it makes infrastructure repeatable, version-controlled, reviewable, and testable. Teams can store infrastructure definitions in Git, use pull requests for change review, and run automated checks to validate formatting, policies, and safety constraints. If an environment must be recreated (disaster recovery, test environments, regional expansion), IaC enables consistent reproduction with fewer human errors.
In Kubernetes-centric workflows, IaC often covers both the base platform and the workloads layered on top.
For example, provisioning might include the Kubernetes control plane, node pools, networking, and identity integration, while Kubernetes manifests (or Helm/Kustomize) define Deployments, Services, RBAC, Ingress, and storage resources. GitOps extends this further by continuously reconciling cluster configuration from a Git source of truth.
The incorrect options (Infrastructure and Code / above / across) are not standard terms. The key idea is
"infrastructure treated like software": changes are made through code commits, go through CI checks, and are rolled out in controlled ways. This aligns with cloud native goals: faster iteration, safer operations, and easier auditing. In short, IaC is the operational backbone that makes Kubernetes and cloud platforms manageable at scale, enabling consistent environments and reducing configuration drift.
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NEW QUESTION # 139
Which of the following best describes the way K8S Role-based access control (RBAC) works?

Answer: C

Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/rbac/


NEW QUESTION # 140
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