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Linux Foundation KCNA Exam Overview:
| Certification Vendor: | Linux Foundation |
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| Exam Name: | Kubernetes and Cloud Native Associate |
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| Exam Number: | KCNA |
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| Exam Duration: | 90 minutes |
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| Exam Format: | Multiple Choice |
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| Available Languages: | Japanese, English |
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| Exam Price: | $250 USD |
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| Related Certifications: | CKS (Certified Kubernetes Security Specialist) CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) |
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| Certificate Validity Period: | 3 years |
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| Real Exam Qty: | 60 |
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| Passing Score: | 75% (approximately 45 out of 60) |
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| Sample Questions: | Linux Foundation KCNA Sample Questions |
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| Exam Way: | Online, proctored exam |
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| Pre Condition: | None. No prerequisites required. |
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| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate |
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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.
Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q15-Q20):
NEW QUESTION # 15
What is the name for the tool that manages communication between pods, injects a sidecar proxy container into each pod and directs network traffic through the proxy container?
- A. Network policy
- B. Deployment
- C. namespace
- D. Service
- E. Service mesh
Answer: E
NEW QUESTION # 16
Describe the different ways to manage persistent volumes in Kubernetes, including the concepts of static provisioning and dynamic provisioning. Provide examples for each approach.
- A. Static provisioning uses Kubernetes' built-in hostPath provisioner, which allocates persistent storage on the local node. In dynamic provisioning, administrators must create a StorageClass that links the PVC to a third-party cloud storage provider, such as AWS EBS. Static provisioning is best for development and testing environments where custom storage solutions are necessary, whereas dynamic provisioning is more suited for production applications where automated storage scaling is required.
- B. In static provisioning, you manually create PersistentVolumes (PVs) before deploying your application. This gives you more control over storage allocation, but it can be more complex for large deployments. In dynamic provisioning, you use a StorageClass to define storage characteristics, and the cluster automatically provisions PVs as needed. Dynamic provisioning simplifies storage management and allows for more scalable deployments. The YAML examples in option A demonstrate both approaches. The first example defines a static provisioned PV with a hostPath volume. The second example defines a dynamic provisioned StorageClass using the provisioner "kubernetes.io/gce-pd".
- C. Static provisioning requires configuring both PVs and PVCs in YAML files, with explicit definitions for access modes and storage capacity. In dynamic provisioning, Kubernetes automatically generates PVCs as needed by the workloads based on predefined StorageClass settings. This reduces the need for manual intervention and simplifies large-scale deployments. The dynamic provisioning approach leverages persistent volumes provided by third-party cloud storage platforms such as Azure and Google Cloud.
- D. In static provisioning, the storage is pre-allocated, and PVs are manually bound to PVCs based on resource availability. In dynamic provisioning, Kubernetes allows automatic binding of PVs to PVCs without prior setup. This approach makes use of the default StorageClass or custom ones that support various storage backends such as NFS, Ceph, and cloud providers. Static provisioning requires more manual effort, while dynamic provisioning is easier to scale.
- E. Static provisioning automatically generates PersistentVolumes (PVs) for each PersistentVolumeClaim (PVC) based on available resources. Dynamic provisioning manually defines PVCs but relies on Kubernetes to automatically select the appropriate StorageClass for the required storage type. This approach is not recommended for production environments but is useful for testing and prototyping.
Answer: B
Explanation:
In static provisioning, you manually create PersistentVolumes (PVs) before deploying your application This gives you more control over storage allocation, but it can be more complex for large deployments- In dynamic provisioning, you use a StorageClass to define storage characteristics, and the cluster automatically provisions PVs as needed- Dynamic provisioning simplifies storage management and allows for more scalable deployments. The YAML examples in option A demonstrate both approaches. The first example defines a static provisioned PV with a hostPath volume. The second example defines a dynamic provisioned StorageClass using the provisioner "kubernetes.io/gce- pd".
NEW QUESTION # 17
You have a Kubernetes cluster with a pod that uses a resource limit of 100m CPU. What happens if the pod requests more CPU resources than the limit?
- A. The pod will be automatically scaled down to 100m CPU.
- B. The pod will be throttled and its performance will be impacted.
- C. The pod will continue to run using the requested amount of CPU.
- D. The pod will be killed and restarted.
- E. The pod will be scheduled on a different node with more available resources.
Answer: B
Explanation:
The pod will be throttled and its performance will be impacted. The CPIJ limit acts as a hard ceiling, preventing the pod from consuming more resources than specified. Even if the pod requests more CPU, it will be constrained to the limit, leading to performance degradation. The pod will not be killed, restarted, or automatically scaled down. It will continue to run, but its performance will be affected due to the resource constraint.
NEW QUESTION # 18
What is the purpose of the 'kubelet* component in Kubernetes?
- A. It runs and manages containers on each node, ensuring their health and resource usage.
- B. It manages the API server and provides access to Kubernetes resources.
- C. It is responsible for storing and managing Kubernetes configurations and state.
- D. It schedules Pods onto nodes based on resource availability and constraints.
- E. It manages the communication between the Kubernetes master and the nodes.
Answer: A
Explanation:
The "kubelet• component in Kubernetes is responsible for running and managing containers on each node. It is the agent that communicates with the master and ensures that Pods are running as intended. Option 'A' is incorrect because that is the role of the kube-proxy and the API server. Option 'B' is incorrect because scheduling is handled by the scheduler. Option 'D' is incorrect because that is the role of the API server. Option 'E' is incorrect because configuration and state are managed by the etcd.
NEW QUESTION # 19
What is FinOps?
- A. Stage beyond DevOps or DevSecOps, where organization transition to serverless tech-nologies
- B. Using data to make cost savings decisions about cloud usage
- C. Specialized cloud features used by financial industries (example: banks, insurance, etc)
- D. The first step in any cloud transformation
Answer: B
Explanation:
https://www.servicenow.com/products/it-asset-management/what-is-finops.html

NEW QUESTION # 20
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