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[General] ​Free Real Linux Foundation KCNA Exam Questions Updates and a Free Demo

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【General】 ​Free Real Linux Foundation KCNA Exam Questions Updates and a Free Demo

Posted at yesterday 18:14      View：6 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S. Free 2026 Linux Foundation KCNA dumps are available on Google Drive shared by ExamsReviews: https://drive.google.com/open?id=1rCmW3whHzEfVvnYsCijzKI8GD3kVJIcJ
ExamsReviews brings the perfect KCNA PDF Questions that ensure your Kubernetes and Cloud Native Associate KCNA exam success on the first attempt. We have introduced three formats of our Kubernetes and Cloud Native Associate KCNA Exam product. These formats are Kubernetes and Cloud Native Associate KCNA web-based practice exam, KCNA desktop practice test software, and KCNA PDF Dumps.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed to validate the skills and knowledge of professionals who work with cloud-native technologies such as Kubernetes. The program is offered by the Linux Foundation, a non-profit organization that is dedicated to promoting the growth of Linux and open-source software.
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q107-Q112):NEW QUESTION # 107
You're managing a Kubernetes cluster with several deployments using resource requests and limits. Which of the following strategies can help you effectively manage resource utilization and potentially reduce costs?
  • A. Increase resource requests for all deployments to ensure enough resources are always available.
  • B. Configure resource reservation to ensure a minimum amount of resources is always available.
  • C. Utilize resource quotas to restrict the total resources that can be consumed by namespaces.
  • D. Use Horizontal Pod Autoscaler (HPA) to adjust the number of pods based on resource utilization and load.
  • E. Set resource limits lower than requests to encourage efficient resource use.
Answer: B,C,D
Explanation:
The most effective strategies for managing resource utilization and cost in Kubernetes involve dynamic scaling and resource allocation. Horizontal Pod Autoscaler (HPA) allows you to adjust the number of pods based on resource utilization, reducing overprovisioning. Resource quotas restrict the total resources that can be consumed by namespaces, preventing resource exhaustion and potential cost spikes. Resource reservation guarantees a minimum amount of resources for critical applications, ensuring they perform well even under high load. Increasing requests without adjusting limits can lead to overprovisioning, while setting limits lower than requests can limit pod performance.

NEW QUESTION # 108
What is the main purpose of etcd in Kubernetes?
  • A. etcd stores the YAML definitions for all the cluster components.
  • B. etcd stores the containers running in the cluster for disaster recovery.
  • C. etcd stores all cluster data in a key value store.
  • D. etcd stores copies of the Kubernetes config files that live /etc/.
Answer: C
Explanation:
The main purpose of etcd in Kubernetes is to store the cluster's state as a distributed key-value store, so A is correct. Kubernetes is API-driven: objects like Pods, Deployments, Services, ConfigMaps, Secrets, Nodes, and RBAC rules are persisted by the API server into etcd. Controllers, schedulers, and other components then watch the API for changes and reconcile the cluster accordingly. This makes etcd the "source of truth" for desired and observed cluster state.
Options B, C, and D are misconceptions. etcd does not store the running containers; that's the job of the kubelet/container runtime on each node, and container state is ephemeral. etcd does not store /etc configuration file copies. And while you may author objects as YAML manifests, Kubernetes stores them internally as API objects (serialized) in etcd-not as "YAML definitions for all components." The data is structured key/value entries representing Kubernetes resources and metadata.
Because etcd is so critical, its performance and reliability directly affect the cluster. Slow disk I/O or poor network latency increases API request latency and can delay controller reconciliation, leading to cascading operational problems (slow rollouts, delayed scheduling, timeouts). That's why etcd is typically run on fast, reliable storage and in an HA configuration (often 3 or 5 members) to maintain quorum and tolerate failures. Backups (snapshots) and restore procedures are also central to disaster recovery: if etcd is lost, the cluster loses its state.
Security is also important: etcd can contain sensitive information (especially Secrets unless encrypted at rest). Proper TLS, restricted access, and encryption-at-rest configuration are standard best practices.
So, the verified correct answer is A: etcd stores all cluster data/state in a key-value store.

NEW QUESTION # 109
What is the command used to scale the application?
  • A. kubectl explain
  • B. kubectl run
  • C. kubectl scale
Answer: C
Explanation:
https://kubernetes.io/docs/refer ... ectl-commands#scale


NEW QUESTION # 110
You are running a web application in a Kubernetes cluster, and you want to ensure that your application always has at least one healthy pod available for serving traffic. Which Kubernetes
concept best addresses this requirement?
  • A. Liveness Probes
  • B. Service Mesh
  • C. Pod Disruption Budgets
  • D. Readiness Probes
  • E. ReplicaSets
Answer: C
Explanation:
Pod Disruption Budgets (PDB) are a Kubernetes feature that helps maintain the availability of your application by limiting the number of pods that can be deleted at any given time. This ensures that at least a minimum number of healthy pods remain running, even during updates or maintenance.

NEW QUESTION # 111
In which framework do the developers no longer have to deal with capacity, deployments, scaling and fault tolerance, and OS?
  • A. Mesos
  • B. Docker Swarm
  • C. Serverless
  • D. Kubernetes
Answer: C
Explanation:
Serverless is the model where developers most directly avoid managing server capacity, OS operations, and much of the deployment/scaling/fault-tolerance mechanics, which is why D is correct. In serverless computing (commonly Function-as-a-Service, FaaS, and managed serverless container platforms), the provider abstracts away the underlying servers. You typically deploy code (functions) or a container image, define triggers (HTTP events, queues, schedules), and the platform automatically provisions the required compute, scales it based on demand, and handles much of the availability and fault tolerance behind the scenes.
It's important to compare this to Kubernetes: Kubernetes does automate scheduling, self-healing, rolling updates, and scaling, but it still requires you (or your platform team) to design and operate cluster capacity, node pools, upgrades, runtime configuration, networking, and baseline reliability controls. Even in managed Kubernetes services, you still choose node sizes, scale policies, and operational configuration. Kubernetes reduces toil, but it does not eliminate infrastructure concerns in the same way serverless does.
Docker Swarm and Mesos are orchestration platforms that schedule workloads, but they also require managing the underlying capacity and OS-level aspects. They are not "no longer have to deal with capacity and OS" frameworks.
From a cloud native viewpoint, serverless is about consuming compute as an on-demand utility. Kubernetes can be a foundation for a serverless experience (for example, with event-driven autoscaling or serverless frameworks), but the pure framework that removes the most operational burden from developers is serverless.
________________________________________

NEW QUESTION # 112
......
Through a large number of simulation tests, you can rationally arrange your own KCNA exam time, adjust your mentality in the examination room, find your own weak points and carry out targeted exercises. But I am so sorry to say that KCNA test answers can only run on Windows operating systems and our engineers are stepping up to improve this. In fact, many people only spent 20-30 hours practicing our KCNA Guide Torrent and passed the exam. This sounds incredible, but we did, helping them save a lot of time.
KCNA Reliable Exam Questions: https://www.examsreviews.com/KCNA-pass4sure-exam-review.html
P.S. Free 2026 Linux Foundation KCNA dumps are available on Google Drive shared by ExamsReviews: https://drive.google.com/open?id=1rCmW3whHzEfVvnYsCijzKI8GD3kVJIcJ
https://www.vce4dumps.com
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