[Oct 20, 2026] Get Up-To-Date Real Exam Questions for KCNA with New Materials [Q23-Q46]

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[Oct 20, 2026] Get Up-To-Date Real Exam Questions for KCNA with New Materials [Q23-Q46]

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[Oct 20, 2026] Get Up-To-Date Real Exam Questions for KCNA with New Materials

Updated KCNA Certification Exam Sample Questions

Earning the KCNA certification demonstrates that one has the necessary skills and knowledge to work with Kubernetes and cloud-native technologies. It is an excellent way to showcase one’s expertise in the field and to differentiate oneself from other professionals. Kubernetes and Cloud Native Associate certification is recognized globally and is highly valued by employers, making it a worthwhile investment for anyone looking to advance their career in this field.

QUESTION 23
What are default kubernetes namespaces?

default, kube-public, kube-system, kube-node-lease

kube-default, kube-public, kube-system, kube-node-lease

default, kube-public, kube-systems, kube-node-lease

default, kube-public, kube-system, kube-node-leases

QUESTION 24
Which of the following is a valid PromQL query?

SELECT * from http_requests_total WHERE job=apiserver

http_requests_total WHERE (job=”apiserver”)

SELECT * from http_requests_total

http_requests_total(job=”apiserver”)

QUESTION 25
What is Flux constructed with?

GitLab Environment Toolkit

GitOps Toolkit

Helm Toolkit

GitHub Actions Toolkit

QUESTION 26
Which of the following is a challenge derived from running cloud native applications?

The operational costs of maintaining the data center of the company.

Cost optimization is complex to maintain across different public cloud environments.

The lack of different container images available in public image repositories.

The lack of services provided by the most common public clouds.

QUESTION 27
Which statement about Secrets is correct?

A Secret is part of a Pod specification.

Secrets data is encrypted with the cluster private key by default.

Secrets data is base64 encoded and stored unencrypted by default

A Secret can only be used for confidential data

QUESTION 28
What is the API that exposes resource metrics from the metrics-server?

custom.k8s.io

cadvisor.k8s.io

resources.k8s.io

metrics.k8s.io

QUESTION 29
What function does kube-proxy provide to a cluster?

Implementing the Ingress resource type for application traffic.

Forwarding data to the correct endpoints for Services.

Managing data egress from the cluster nodes to the network.

Managing access to the Kubernetes API.

QUESTION 30
What is the API that exposes resource metrics from the metrics-server?

custom.k8s.io

resources.k8s.io

metrics.k8s.io

cadvisor.k8s.io

QUESTION 31
A platform engineer wants to ensure that a new microservice is automatically deployed to every cluster registered in Argo CD. Which configuration best achieves this goal?

Create an Argo CD ApplicationSet that uses a Git repository containing the microservice manifests.

Set up a Kubernetes CronJob that redeploys the microservice to all registered clusters on a schedule.

Use a Helm chart to package the microservice and manage it with a single Application defined in ArgoCD.

Manually configure every registered cluster with the deployment YAML for installing the microservice.

QUESTION 32
Which of the following scenarios would benefit the most from a service mesh architecture?

A few applications with hundreds of Pod replicas running in multiple clusters, each one providing multiple services.

Thousands of distributed applications running in a single cluster, each one providing multiple services.

Tens of distributed applications running in multiple clusters, each one providing multiple services.

Thousands of distributed applications running in multiple clusters, each one providing multiple services.

QUESTION 33
A data science team is deploying a machine learning workload that performs best on nodes labeled disk=ssd. However, the Pods must still be able to run on other nodes if no SSD nodes are available. Which scheduling rule should they configure?

Node Affinity with PreferredDuringSchedulingIgnoredDuringExecution

Pod Anti-Affinity

Taints and Tolerations

Node Affinity with RequiredDuringSchedulingIgnoredDuringExecution

QUESTION 34
What is the core metric type in Prometheus used to represent a single numerical value that can go up and down?

Summary

Counter

Histogram

Gauge

QUESTION 35
Which two elements are shared between containers in the same pod?

Network resources and liveness probes.

Storage and container image registry.

Storage and network resources.

Network resources and Dockerfiles.

QUESTION 36
What is the Kubernetes object used for running a recurring workload?

Job

Batch

DaemonSet

CronJob

QUESTION 37
In CNCF, who develops specifications for industry standards around container formats and runtimes?

Open Container Initiative (OCI)

Linux Foundation Certification Group (LFCG)

Container Network Interface (CNI)

Container Runtime Interface (CRI)

QUESTION 38
What function does kube-proxy provide to a cluster?

Implementing the Ingress resource type for application traffic.

Forwarding data to the correct endpoints for Services.

Managing data egress from the cluster nodes to the network.

Managing access to the Kubernetes API.

QUESTION 39
What is the primary purpose of a Horizontal Pod Autoscaler (HPA) in Kubernetes?

To automatically scale the number of Pod replicas based on resource utilization.

To track performance metrics and report health status for nodes and Pods.

To coordinate rolling updates of Pods when deploying new application versions.

To allocate and manage persistent volumes required by stateful applications.

The Horizontal Pod Autoscaler (HPA) is a core Kubernetes feature designed to automatically scale the number of Pod replicas in a workload based on observed metrics, making option A the correct answer. Its primary goal is to ensure that applications can handle varying levels of demand while maintaining performance and resource efficiency.
HPA works by continuously monitoring metrics such as CPU utilization, memory usage, or custom and external metrics provided through the Kubernetes metrics APIs. Based on target thresholds defined by the user, the HPA increases or decreases the number of replicas in a scalable resource like a Deployment, ReplicaSet, or StatefulSet. When demand increases, HPA adds more Pods to handle the load. When demand decreases, it scales down Pods to free resources and reduce costs.
Option B is incorrect because tracking performance metrics and reporting health status is handled by components such as the metrics-server, monitoring systems, and observability tools-not by the HPA itself.
Option C is incorrect because rolling updates are managed by Deployment strategies, not by the HPA. Option D is incorrect because persistent volume management is handled by Kubernetes storage resources and CSI drivers, not by autoscalers.
HPA operates at the Pod replica level, which is why it is called “horizontal” scaling-scaling out or in by changing the number of Pods, rather than adjusting resource limits of individual Pods (which would be vertical scaling). This makes HPA particularly effective for stateless applications that can scale horizontally to meet demand.
In practice, HPA is commonly used in production Kubernetes environments to maintain application responsiveness under load while optimizing cluster resource usage. It integrates seamlessly with Kubernetes’ declarative model and self-healing mechanisms.
Therefore, the correct and verified answer is Option A, as the Horizontal Pod Autoscaler’s primary function is to automatically scale Pod replicas based on resource utilization and defined metrics.

QUESTION 40
Which statement best describes the role of kubelet on a Kubernetes worker node?

kubelet monitors cluster-wide resource usage and assigns Pods to the most suitable nodes for execution.

kubelet acts as the primary API component that stores and manages cluster state information.

kubelet manages the container runtime and ensures that all Pods scheduled to the node are running as expected.

kubelet configures networking rules on each node to handle traffic routing for Services in the cluster.

QUESTION 41
You are building a distributed system with microservices deployed in a Kubernetes cluster. Each microservice has its own database. How would you manage the consistency and reliability of data across these microservices?

Use a shared database for all microservices

Implement a distributed database system

Use a message broker to ensure data synchronization

Implement a distributed transaction manager

Use a combination of event sourcing and CQRS (Command Query Responsibility Segregation)

QUESTION 42
Which statement about Ingress is correct?

Ingress provides a simple way to track network endpoints within a cluster.

Ingress is a Service type like NodePort and ClusterIP.

Ingress is a construct that allows you to specify how a Pod is allowed to communicate.

Ingress exposes routes from outside the cluster to Services in the cluster.

QUESTION 43
What is a key feature of a container network?

Proxying REST requests across a set of containers.

Caching remote disk access.

Allowing containers running on separate hosts to communicate.

Allowing containers on the same host to communicate.

QUESTION 44
Which GitOps engine can be used to orchestrate parallel jobs on Kubernetes?

Jenkins X

Flagger

Flux

Argo Workflows

QUESTION 45
What tool allows us to build useful visual representations of prometheus data?

Grafana

kubectl

Distributed system tracing

Rook

Kibana

QUESTION 46
The IPv4/IPv6 dual stack in Kubernetes:

Translates an IPv4 request from a Service to an IPv6 Service.

Allows you to access the IPv4 address by using the IPv6 address.

Requires NetworkPolicies to prevent Services from mixing requests.

Allows you to create IPv4 and IPv6 dual stack Services.

Linux Foundation KCNA certification exam is an essential certification for professionals who wish to establish their expertise in cloud-native computing technologies. KCNA exam covers a wide range of topics related to Kubernetes and cloud-native computing, and it is recognized globally as a mark of excellence in the field. If you are an IT professional seeking to enhance your career prospects in cloud-native computing, then the Linux Foundation KCNA certification exam is a must-have certification.

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[Oct 20, 2026] Get Up-To-Date Real Exam Questions for KCNA with New Materials [Q23-Q46]

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