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| Certification Vendor: | Linux Foundation / CNCF |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Exam Price: | $250 USD |
| Available Languages: | English, Japanese |
| Related Certifications: | CKAD (Certified Kubernetes Application Developer) KCSA (Kubernetes and Cloud Native Security Associate) CKA (Certified Kubernetes Administrator) CKS (Certified Kubernetes Security Specialist) |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple choice, Online proctored |
| Exam Duration: | 90 minutes |
| Passing Score: | 75% |
| Certificate Validity Period: | 2 years |
| Recommended Training: | LFS250: Kubernetes and Cloud Native Essentials |
| Exam Registration: | Official Registration |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online, remotely proctored; available worldwide |
| Pre Condition: | No mandatory prerequisites; basic IT knowledge and familiarity with command-line tools recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate/ |
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Linux Foundation KCNA Certification is recognized globally as a mark of excellence in cloud-native computing. It is an industry-recognized certification that demonstrates a candidate's expertise in Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification is ideal for individuals who are seeking to enhance their career prospects in the field of cloud-native computing.
NEW QUESTION # 104
Which of these commands is used to retrieve the documentation and field definitions for a Kubernetes resource?
Answer: D
NEW QUESTION # 105
You need to restrict access to your Kubernetes cluster from a specific IP address range. How would you implement this security measure?
Answer: C
Explanation:
The most appropriate way to restrict access to a Kubernetes cluster from a specific IP address range is to configure a NetworkPolicy. NetworkPolicies allow you to define ingress and egress rules based on source and destination IP addresses, ports, and other network attributes. This provides a flexible and granular way to control network traffic to and from pods within the cluster. Options B, C, and D are not suitable for this scenario as they focus on API server authorization, admission control, or node-level firewall rules, which are not specifically designed for IP address-based access control. Option E is incorrect because Service of type 'LoadBalancer' primarily deals with external access and doesn't provide direct IP address-based access control within the cluster-
NEW QUESTION # 106
Which Kubernetes feature is the simplest way to force a Pod or Deployment to run only on nodes with a specific label?
Answer: A
Explanation:
A nodeSelector directly matches Pod scheduling to nodes with specific labels, providing the simplest and most straightforward way to constrain where Pods run.
NEW QUESTION # 107
Which of the following is a lightweight tool that manages traffic flows between services, enforces access policies, and aggregates telemetry data, all without requiring changes to application code?
Answer: D
Explanation:
Linkerd is a lightweight service mesh that manages service-to-service traffic, security policies, and telemetry without requiring application code changes-so B is correct. A service mesh introduces a dedicated layer for east-west traffic (internal service calls) and typically provides features like mutual TLS (mTLS), retries
/timeouts, traffic shaping, and consistent metrics/tracing signals. Linkerd is known for being simpler and resource-efficient relative to some alternatives, which aligns with the "lightweight tool" phrasing.
Why this matches the description: In a service mesh, workload traffic is intercepted by a proxy layer (often as a sidecar or node-level/ambient proxy) and managed centrally by mesh control components. This allows security and traffic policy to be applied uniformly without modifying each microservice. Telemetry is also generated consistently because the proxies observe traffic directly and emit metrics and traces about request rates, latency, and errors.
The other choices don't fit. NetworkPolicy is a Kubernetes resource that controls allowed network flows (L3
/L4) but does not provide L7 traffic management, retries, identity-based mTLS, or automatic telemetry aggregation. kube-proxy implements Service networking rules (ClusterIP/NodePort forwarding) but does not enforce access policies at the service identity level and is not a telemetry system. Nginx can be used as an ingress controller or reverse proxy, but it is not inherently a full service mesh spanning all service-to-service communication and policy/telemetry across the mesh by default.
In cloud native architecture, service meshes help address cross-cutting concerns-security, observability, and traffic management-without embedding that logic into every application. The question's combination of
"traffic flows," "access policies," and "aggregates telemetry" maps directly to a mesh, and the lightweight mesh option provided is Linkerd.
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NEW QUESTION # 108
You are deploying a pod that requires access to a specific storage volume attached to a particular node. Which Kubernetes feature can you utilize to guarantee the pod is scheduled only on that specific node?
Answer: B,D
Explanation:
You can achieve this by using either •nodeAffinity• or •taints and tolerationS: 'nodeAffinity•• Similar to the previous question, define 'requiredDuringSchedulinglgnoredDuringExecution• to enforce scheduling on the specific node. 'Taints and TolerationS: Apply a taint on the specific node that reflects the volume availability. Then, configure the pod to tolerate that specific taint, ensuring it can only be scheduled on the node with the matching taint. While •podAffinity• and •podAntiAffinity' are useful for grouping or distributing pods, they do not directly guarantee scheduling on a specific node based on volume availability.
NEW QUESTION # 109
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