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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate |
| Exam Number: | KCNA |
| Available Languages: | English, Japanese |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Passing Score: | 75% (approximately 45 out of 60) |
| Exam Format: | Multiple Choice |
| Related Certifications: | CKA (Certified Kubernetes Administrator) CKS (Certified Kubernetes Security Specialist) CKAD (Certified Kubernetes Application Developer) |
| Real Exam Qty: | 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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Linux Foundation KCNA certification is a valuable credential for IT professionals who want to demonstrate their expertise in cloud-native technologies. With a wide range of study resources available and a vendor-neutral approach, the exam is an attractive option for professionals who work with different cloud platforms and want to showcase their skills in a way that is recognized across the industry.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed to validate the skills of individuals who work with cloud-native technologies. Cloud-native technologies are a collection of software tools and practices that help organizations build and run scalable applications in modern, dynamic environments such as the cloud. KCNA Exam is designed to assess the knowledge and skills required to design, deploy, and manage cloud-native applications using Kubernetes and other cloud-native tools.
NEW QUESTION # 174
What is the name for a service that has no clusterIp address?
Answer: B
Explanation:
https://kubernetes.io/docs/concepts/services-networking/service/#headless-services
NEW QUESTION # 175
What CNCF project is the leading DNS project in the CNCF landscape?
Answer: C
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 176
Your Kubernetes cluster is running in a public cloud environment. You want to expose a specific service to the internet using a public IP address. Which Kubernetes service type would you choose?
Answer: B
Explanation:
The correct answer is 'LoadBalancer. When you create a Kubernetes Service of type 'LoadBalancer' in a public cloud environment, the cloud provider automatically provisions a public IP address and load balancer to route traffic to your service. This allows you to expose your service to the internet with a public endpoint. The other options are not suitable for this scenario: 'ClusterlP' creates an internal IP address within the cluster, 'NodePort' exposes the service on a specific port on the node's IP, 'ExternalName' acts as an alias for an external DNS name, and 'Headless' creates a service without a cluster IP.
NEW QUESTION # 177
How are ReplicaSets and Deployments related?
Answer: B
NEW QUESTION # 178
Which of the following options include resources cleaned by the Kubernetes garbage collection mechanism?
Answer: B
Explanation:
Kubernetes garbage collection (GC) is about cleaning up API objects and related resources that are no longer needed, so the correct answer is D. Two big categories it targets are (1) objects that have finished their lifecycle (like terminated Pods and completed Jobs, depending on controllers and TTL policies), and (2) "dangling" objects that are no longer referenced properly-often described as objects without owner references (or where owners are gone), which can happen when a higher-level controller is deleted or when dependent resources are left behind.
A key Kubernetes concept here is OwnerReferences: many resources are created "owned" by a controller (e.g., a ReplicaSet owned by a Deployment, Pods owned by a ReplicaSet). When an owning object is deleted, Kubernetes' garbage collector can remove dependent objects based on deletion propagation policies (foreground/background/orphan). This prevents resource leaks and keeps the cluster tidy and performant.
The other options are incorrect because they refer to cleanup tasks outside Kubernetes GC's scope. Kubelet logs (B/C) are node-level files and log rotation is handled by node/runtime configuration, not the Kubernetes garbage collector. Unused container images (C) are managed by the container runtime's image GC and kubelet disk pressure management, not the Kubernetes API GC. Nodes deleted by a cloud controller (B) aren't "garbage collected" in the same sense; node lifecycle is handled by controllers and cloud integrations, but not as a generic GC cleanup category like ownerRef-based object deletion.
So, when the question asks specifically about "resources cleaned by Kubernetes garbage collection," it's pointing to Kubernetes object lifecycle cleanup: terminated Pods, completed Jobs, and orphaned objects-exactly what option D states.
NEW QUESTION # 179
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