Valid KCNA Free Learning Cram & Fast Download KCNA Test Simulator Online & Latest Dumps KCNA Free Download
Valid KCNA Free Learning Cram & Fast Download KCNA Test Simulator Online & Latest Dumps KCNA Free Download
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The KCNA certification exam is a performance-based test that evaluates a candidate's ability to solve real-world problems using Kubernetes and cloud-native technologies. KCNA exam consists of a series of hands-on tasks that require candidates to demonstrate their proficiency in deploying, managing, and scaling Kubernetes clusters, as well as their knowledge of related technologies like containerization, microservices, and service meshes. KCNA exam is conducted online and can be taken from anywhere in the world. Kubernetes and Cloud Native Associate certification is valid for two years, after which individuals must renew their certification by passing a recertification exam or earning a higher-level certification.
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 Kubernetes and Cloud Native Associate (KCNA) Certification Exam is a highly regarded certification that demonstrates an individual's understanding of Kubernetes and cloud-native technologies. The KCNA Certification Exam is designed to test a candidate's knowledge of Kubernetes architecture, deployment, and maintenance, as well as the fundamental concepts of cloud-native computing. Kubernetes and Cloud Native Associate certification is valuable for individuals who want to validate their skills in Kubernetes and cloud-native technologies, such as cloud engineers, DevOps engineers, software developers, and system administrators.
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q187-Q192):
NEW QUESTION # 187
Explain the difference between a Deployment and a StatefulSet in Kubernetes.
- A. Deployments are used for stateless applications, while StatefulSets are used for stateful applications that require persistent storage and unique identities.
- B. Deployments are used for managing the lifecycle of a single Pod, while StatefulSets manage multiple Pods.
- C. Deployments are used for deploying and managing stateless applications, while StatefulSets are used for deploying and managing stateful applications.
- D. Deployments handle rolling updates, while StatefulSets only support manual updates.
- E. Deployments are responsible for scheduling Pods, while StatefulSets manage the lifecycle of Services.
Answer: A,C
Explanation:
Deployments are used for deploying and managing stateless applications, while StatefulSets are used for deploying and managing stateful applications. Deployments are ideal for applications where the state of each Pod is not important, while StatefulSets are designed for applications that require persistent storage, unique network identities, and ordered scaling.
NEW QUESTION # 188
You are running a containerized application that requires access to a specific host-mounted directory. Which of the following is the most appropriate Kubernetes mechanism to achieve this?
- A. HostPort
- B. VolumeMounts
- C. Service Account
- D. Pod Security Policy
- E. ConfigMap
Answer: B
Explanation:
The *VolumeMountS section within a Pod definition allows you to map host directories or persistent volumes into your container. This provides a secure and controlled way to access files from the host machine within your container. HostPort, Service Account, Pod Security Policy, and ConfigMap are all different Kubernetes concepts and do not directly address the need for host directory access.
NEW QUESTION # 189
What makes cloud native technology so important?
- A. It strengthens team
- B. It makes operational centric
- C. It makes data centric
- D. It removes roadblocks to innovation
- E. It helps gather software requirements
Answer: D
Explanation:
https://github.com/cncf/foundation/blob/main/charter.md
NEW QUESTION # 190
You're running a web application in Kubernetes that experiences occasional spikes in traffic. You want to scale your application horizontally to handle these spikes automatically. What Kubernetes resource should you utilize to achieve this?
- A. Service
- B. DaemonSet
- C. HorizontalPodAutoscaler (HPA)
- D. StatefulSet
- E. Deployment
Answer: C
Explanation:
A HonzontalPodAutoscaler (HPA) is the primary resource in Kubernetes for automatically scaling Pods based on resource utilization (CPU, memory, etc.) or custom metrics. Deployments, StatefulSets, and DaemonSets define the deployment and management of Pods, while Services handle load balancing and access to the application.
NEW QUESTION # 191
You are deploying a multi-container pod with each container requiring different resource limits. What Kubernetes resource allows you to define these individual limits?
- A. ServiceAccount
- B. PodSpec
- C. LimitRange
- D. ResourceQuota
- E. Deployment
Answer: B
Explanation:
The 'PodSpec' allows you to define resources for each container within the pod- You can specify 'requests' and 'limits' for CPU and memory resources, ensuring that each container receives the appropriate resources- ResourceQuota and LimitRange are used for enforcing resource usage limits across multiple pods, not within a single.
NEW QUESTION # 192
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