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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate |
| Exam Number: | KCNA |
| Certificate Validity Period: | 3 years |
| Exam Price: | $250 USD |
| Related Certifications: | CKS (Certified Kubernetes Security Specialist) CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) |
| Available Languages: | English, Japanese |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 60 |
| Passing Score: | 75% (approximately 45 out of 60) |
| 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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The KCNA Certification Exam is an online, proctored exam that can be taken from anywhere in the world. It is a timed exam that lasts for 2 hours, and individuals must score at least 66% to pass. KCNA exam consists of 50 multiple-choice questions that are designed to test an individual's understanding of Kubernetes and cloud-native technologies.
Once an individual has successfully completed the Linux Foundation KCNA Exam, they will be considered a certified Kubernetes and Cloud Native Associate, which can provide significant benefits for their career. Kubernetes and Cloud Native Associate certification is recognized globally and can help individuals demonstrate their expertise and credibility in the field of cloud-native technologies. Additionally, individuals who hold this certification are well-positioned to pursue other Kubernetes and cloud-native certifications offered by the Linux Foundation, which can further enhance their skills and expertise in this rapidly-evolving technology landscape.
NEW QUESTION # 200
Which access control component of Kubernetes is responsible for authorization and decides what requestor is allowed to do?
Answer: A
Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/authorization/
NEW QUESTION # 201
What is a Kubernetes Service Endpoint?
Answer: B
Explanation:
A Kubernetes Service routes traffic to a dynamic set of backends (usually Pods). The set of backend IPs and ports is represented by endpoint-tracking resources. Historically this was the Endpoints object; today Kubernetes commonly uses EndpointSlice for scalability, but the concept remains the same: endpoints represent the concrete network destinations behind a Service. That's why D is correct: a Service endpoint is an object that contains the IP addresses (and ports) of the individual Pods (or other backends) associated with that Service.
When a Service has a selector, Kubernetes automatically maintains endpoints by watching which Pods match the selector and are Ready, then publishing those Pod IPs into Endpoints/EndpointSlices. Consumers don't usually use endpoints directly; instead they call the Service DNS name, and kube-proxy (or an alternate dataplane) forwards traffic to one of the endpoints. Still, endpoints are critical because they are what make Service routing accurate and up to date during scaling events, rolling updates, and failures.
Option A confuses this with the Kubernetes API server endpoint (the cluster API URL). Option B is incorrect; there's no special "Service Endpoint Pod." Option C describes an external/public IP concept, which may exist for LoadBalancer Services, but "Service endpoint" in Kubernetes vocabulary is about the backend destinations, not the public entrypoint.
Operationally, endpoints are useful for debugging: if a Service isn't routing traffic, checking Endpoints/EndpointSlices shows whether the Service actually has backends and whether readiness is excluding Pods. This ties directly into Kubernetes service discovery and load balancing: the Service is the stable front door; endpoints are the actual backends.
NEW QUESTION # 202
What are the two major components of service mesh?
Answer: C
NEW QUESTION # 203
The Container Runtime Interface (CRI) defines the protocol for the communication between:
Answer: D
Explanation:
The CRI (Container Runtime Interface) defines how the kubelet talks to the container runtime, so A is correct. The kubelet is the node agent responsible for ensuring containers are running in Pods on that node. It needs a standardized way to request operations such as: create a Pod sandbox, pull an image, start/stop containers, execute commands, attach streams, and retrieve logs. CRI provides that contract so kubelet does not need runtime-specific integrations.
This interface is a key part of Kubernetes' modular design. Different container runtimes implement the CRI, allowing Kubernetes to run with containerd, CRI-O, and other CRI-compliant runtimes. This separation of concerns lets Kubernetes focus on orchestration, while runtimes focus on executing containers according to the OCI runtime spec, managing images, and handling low-level container lifecycle.
Why the other options are incorrect:
* etcd is the control plane datastore; container runtimes do not communicate with etcd via CRI.
* kube-apiserver and kubelet communicate using Kubernetes APIs, but CRI is not their protocol; CRI is specifically kubelet # runtime.
* container runtime and image registry communicate using registry protocols (image pull/push APIs), but that is not CRI. CRI may trigger image pulls via runtime requests, yet the actual registry communication is separate.
Operationally, this distinction matters when debugging node issues. If Pods are stuck in "ContainerCreating" due to image pull failures or runtime errors, you often investigate kubelet logs and the runtime (containerd
/CRI-O) logs. Kubernetes administrators also care about CRI streaming (exec/attach/logs streaming), runtime configuration, and compatibility across Kubernetes versions.
So, the verified answer is A: the kubelet and the container runtime.
=========
NEW QUESTION # 204
You have a Deployment with the following YAML definition:
You want to update the image to 'my-app:v2' without deleting and recreating the Deployment. Which Kubernetes command can you use to achieve this update?
Answer: B
Explanation:
The 'kubectl set image' command is specifically designed to update the container image within a Deployment without needing to delete and recreate it. It allows you to target a specific container within the Deployment and specify the new image.
NEW QUESTION # 205
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