BTW, DOWNLOAD part of Itbraindumps KCNA dumps from Cloud Storage: https://drive.google.com/open?id=12Nijx-DScW6l-0_p-IM1M5WsWk2tavmw
If you purchase KCNA exam questions and review it as required, you will be bound to successfully pass the exam. And if you still don't believe what we are saying, you can log on our platform right now and get a trial version of KCNA study engine for free to experience the magic of it. Of course, if you encounter any problems during free trialing, feel free to contact us and we will help you to solve all problems on the KCNA practice engine.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Application Delivery | 8% | - GitOps
|
| Topic 2: Container Orchestration | 22% | - Orchestration Fundamentals
|
| Topic 3: Cloud Native Observability | 8% | - Tracing
|
| Topic 4: Kubernetes Fundamentals | 46% | - Kubernetes Architecture
|
| Topic 5: Cloud Native Architecture | 16% | - Infrastructure and Practices
|
We provide varied functions to help the learners learn our KCNA study materials and prepare for the exam. The self-learning and self-evaluation functions of our KCNA exam questions help the learners check their learning results and the statistics and report functions help the learners find their weak links and improve them promptly. And you will be more confident as you know the inform of the KCNA Exam and the questions and answers.
NEW QUESTION # 264
CI/CD stands for:
Answer: B
Explanation:
CI/CD is a foundational practice for delivering software rapidly and reliably, and it maps strongly to cloud native delivery workflows commonly used with Kubernetes. CI stands for Continuous Integration: developers merge code changes frequently into a shared repository, and automated systems build and test those changes to detect issues early. CD is commonly used to mean Continuous Delivery or Continuous Deployment depending on how far automation goes. In many certification contexts and simplified definitions like this question, CD is interpreted as Continuous Deployment, meaning every change that passes the automated pipeline is automatically released to production. That matches option D.
In a Kubernetes context, CI typically produces artifacts such as container images (built from Dockerfiles or similar build definitions), runs unit/integration tests, scans dependencies, and pushes images to a registry. CD then promotes those images into environments by updating Kubernetes manifests (Deployments, Helm charts, Kustomize overlays, etc.). Progressive delivery patterns (rolling updates, canary, blue/green) often use Kubernetes-native controllers and Service routing to reduce risk.
Why the other options are incorrect: "Continuous Development" isn't the standard "D" term; it's ambiguous and not the established acronym expansion. "Cloud Integration/Cloud Development" is unrelated. Continuous Delivery (in the stricter sense) means changes are always in a deployable state and releases may still require a manual approval step, while Continuous Deployment removes that final manual gate. But because the option set explicitly includes "Continuous Deployment," and that is one of the accepted canonical expansions for CD, D is the correct selection here.
Practically, CI/CD complements Kubernetes' declarative model: pipelines update desired state (Git or manifests), and Kubernetes reconciles it. This combination enables frequent releases, repeatability, reduced human error, and faster recovery through automated rollbacks and controlled rollout strategies.
NEW QUESTION # 265
What is a DaemonSet?
Answer: D
Explanation:
A DaemonSet ensures that a copy of a Pod runs on each node (or a selected subset of nodes), which matches option A and makes it correct. DaemonSets are ideal for node-level agents that should exist everywhere, such as log shippers, monitoring agents, CNI components, storage daemons, and security scanners.
DaemonSets differ from Deployments/ReplicaSets because their goal is not "N replicas anywhere," but "one replica per node" (subject to node selection). When nodes are added to the cluster, the DaemonSet controller automatically schedules the DaemonSet Pod onto the new nodes. When nodes are removed, the Pods associated with those nodes are cleaned up. You can restrict placement using node selectors, affinity rules, or tolerations so that only certain nodes run the DaemonSet (for example, only Linux nodes, only GPU nodes, or only nodes with a dedicated label).
Option B sounds like a ReplicaSet/Deployment behavior (stable set of replicas), not a DaemonSet. Option C describes CronJobs (scheduled, recurring run-to-completion workloads). Option D describes StatefulSets, which provide stable identity, ordering, and uniqueness guarantees for stateful replicas.
Operationally, DaemonSets matter because they often run critical cluster services. During maintenance and upgrades, DaemonSet update strategy determines how those node agents roll out across the fleet. Since DaemonSets can tolerate taints (like master/control-plane node taints), they can also be used to ensure essential agents run across all nodes, including special pools. Thus, the correct definition is A.
=========
NEW QUESTION # 266
Which authentication method allows JWTs to authenticate?
Answer: D
NEW QUESTION # 267
Which kubectl command is useful for collecting information about any type of resource that is active in a Kubernetes cluster?
Answer: C
Explanation:
The correct answer is A (describe), used as kubectl describe <resource> <name>. kubectl describe is a troubleshooting-focused command that provides a rich, human-readable view of a specific live object in the cluster, including key fields, status, and-crucially-Events related to that object. This makes it extremely useful for "collecting information" about almost any active resource: Pods, Deployments, Nodes, Services, PersistentVolumeClaims, and more.
kubectl get (not listed) is typically used for listing objects and their summary fields, but kubectl describe goes deeper: for a Pod it will show container images, resource requests/limits, probes, mounted volumes, node assignment, IPs, conditions, and recent scheduling/pulling/starting events. For a Node it shows capacity
/allocatable resources, labels/taints, conditions, and node events. Those event details often explain why something is Pending, failing to pull images, failing readiness checks, or being evicted.
Option B ("list") is not a standard kubectl subcommand for retrieving resource information (you would use get for listing). Option C (expose) is for creating a Service to expose a resource (like a Deployment). Option D (explain) is for viewing API schema/field documentation (e.g., kubectl explain deployment.spec.replicas) and does not report what is currently happening in the cluster.
So, for gathering detailed live diagnostics about a resource in the cluster, the best kubectl command is kubectl describe, which corresponds to option A.
=========
NEW QUESTION # 268
Which of the following container runtime is planned to be deprecated in Kubernetes 1.20 and high- er?
Answer: B
NEW QUESTION # 269
......
Three versions for KCNA exam cram are available, and you can choose the most suitable one according to your own needs. KCNA Online test engine supports all web browsers, and you can also have offline practice. One of the most outstanding features of KCNA Online test engine is that it has testing history and performance review, and you can have a general review of what you have learnt through this version. KCNA Soft test engine supports MS operating system as well as stimulates real exam environment, therefore it can build up your confidence. KCNA PDF version is printable, and you can study anytime.
Exam KCNA Collection: https://www.itbraindumps.com/KCNA_exam.html
P.S. Free & New KCNA dumps are available on Google Drive shared by Itbraindumps: https://drive.google.com/open?id=12Nijx-DScW6l-0_p-IM1M5WsWk2tavmw