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Linux Foundation KCNA Exam Topics, Guaranteed KCNA Questions Answers
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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program that is designed to provide individuals with the skills and knowledge required to work with Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification is ideal for individuals who are interested in pursuing a career in the field of cloud computing or for those who want to enhance their skills in this area. The program covers various areas such as containerization, orchestration, networking, security, and storage.
The Kubernetes and Cloud Native Associate certification is recognized globally and is highly respected in the industry. It is an excellent way for professionals to demonstrate their expertise in Kubernetes and cloud-native computing to potential employers. Kubernetes and Cloud Native Associate certification also provides access to a community of like-minded professionals who are passionate about cloud-native computing and Kubernetes.
To prepare for the KCNA Exam, candidates can take advantage of various online courses and resources provided by the Linux Foundation. These resources cover the exam topics in-depth and also provide hands-on experience with tools and technologies used in the industry. Passing the KCNA exam requires a deep understanding of Kubernetes and Cloud Native technologies and their practical applications. Upon successful completion of the exam, candidates receive a digital certification that can be shared on their professional profiles, proving their expertise in the field of cloud computing.
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q117-Q122):
NEW QUESTION # 117
Which of the following container runtime is planned to be deprecated in Kubernetes 1.20 and high-er?
- A. podman
- B. cri-o
- C. docker
- D. containerd
- E. None of the options
Answer: C
Explanation:
https://kubernetes.io/blog/2020/12/02/dont-panic-kubernetes-and-docker/
NEW QUESTION # 118
How should folks new to the cloud native ecosystem, go about learning the different aspects of the ecosystem?
- A. by looking at the cloud native landscape
- B. by signing up the CNCF slack
- C. by reading the Kubernetes documentation
- D. by looking at the cloud native trail-map
Answer: D
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 119
The Kubernetes API provides an interface for storing objects. Which of the following describes the type of objects stored by the Kubernetes API?
- A. YAML
- B. Containers
- C. REST
- D. ETCD
Answer: C
Explanation:
Kubernetes objects are RESTful objects.
NEW QUESTION # 120
Which of the following is used to request storage in Kubernetes?
- A. PersistentVolume 'PV'
- B. StorageClasses
- C. Container Storage Interface 'CSI'
- D. PersistentVolumeClaim 'PVC'
Answer: D
Explanation:
https://kubernetes.io/docs/concepts/storage/persistent-volumes/
NEW QUESTION # 121
Your Kubernetes cluster has a limited number of nodes, and you need to efficiently utilize those resources. You are deploying a highly scalable web application with multiple pods. What Kubernetes concept can help you optimize resource allocation and ensure pods are scheduled across all available nodes?
- A. NodeSelector
- B. PodAntiAffinity
- C. Tolerations
- D. Taints
- E. ResourceQuota
Answer: A,B,C,D
Explanation:
These concepts help you optimize resource allocatiom 1 - NodeSelector Allows you to specify labels on nodes and match those labels in your pod definitions, ensuring pods are scheduled on nodes with desired characteristics. 2. PodAntiAffnity: Prevents pods from being scheduled on the same node or even within the same zone, promoting distribution across nodes. 3- Tolerations: Allow pods to tolerate taints applied to nodes. Taints are used to mark nodes as unsuitable for certain pods unless those pods have the corresponding tolerances. 4. Taints: Mark nodes with specific characteristics, preventing pods from scheduling on those nodes unless they have tolerations for those taints. ResourceQuota restricts resources at a namespace level, but not node-level scheduling.
NEW QUESTION # 122
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