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| Certification Vendor: | Linux Foundation / CNCF |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Available Languages: | English, Japanese |
| Related Certifications: | CKS (Certified Kubernetes Security Specialist) CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) KCSA (Kubernetes and Cloud Native Security Associate) |
| Exam Format: | Multiple choice, Online proctored |
| Real Exam Qty: | 60 |
| Exam Price: | $250 USD |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Passing Score: | 75% |
| Recommended Training: | LFS250: Kubernetes and Cloud Native Essentials |
| Exam Registration: | Official Registration |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online, remotely proctored; available worldwide |
| Pre Condition: | No mandatory prerequisites; basic IT knowledge and familiarity with command-line tools recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate/ |
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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.
NEW QUESTION # 237
You are running a microservice-based application in Kubernetes. Each service has its own HPA configured for scaling. How can you ensure that the scaling decisions for different services are coordinated to prevent resource contention?
Answer: A,B
Explanation:
Both resource quotas and a custom controller can help prevent resource contention. Resource quotas limit the resources each service can consume, preventing one service from monopolizing resources- A custom controller can monitor resource usage across all services and make coordinated scaling decisions to avoid over-provisioning and resource exhaustion.
NEW QUESTION # 238
Which tool is built on the GitOps toolkit?
Answer: E
Explanation:
https://fluxcd.io/#gitops-toolkit
Note: Argo CD is a GitOps tool and not using GitOps toolkit
NEW QUESTION # 239
Which of the following resources helps in managing a stateless application workload on a Kubernetes cluster?
Answer: A
Explanation:
The correct answer is D: Deployment. A Deployment is the standard Kubernetes controller for managing stateless applications. It provides declarative updates, replica management, and rollout/rollback functionality. You define the desired state (container image, environment variables, ports, replica count) in the Deployment spec, and Kubernetes ensures the specified number of Pods are running and updated according to strategy (RollingUpdate by default).
Stateless workloads are ideal for Deployments because each replica is interchangeable. If a Pod dies, a new one can be created anywhere; if traffic increases, replicas can be increased; if you need to update the app, a new ReplicaSet is created and traffic shifts gradually to new Pods. Deployments integrate naturally with Services for stable networking and load balancing.
Why the other options are incorrect:
A DaemonSet ensures one Pod per node (or selected nodes). It's for node-level agents, not generic stateless service replicas.
A StatefulSet is for workloads needing stable identity, ordered rollout, and persistent storage per replica (databases, quorum systems). That's not the typical stateless app case.
kubectl is a CLI tool; it doesn't "manage" workloads as a controller resource.
In real cluster operations, almost every stateless microservice is represented as a Deployment plus a Service (and often an Ingress/Gateway for edge routing). Deployments also support advanced delivery patterns (maxSurge/maxUnavailable tuning) and easy integration with HPA for horizontal scaling. Because the question is specifically "managing a stateless application workload," the Kubernetes resource designed for that is clearly the Deployment.
NEW QUESTION # 240
In Kubernetes application delivery, what is the main advantage of using kubectl patch to update a Deployment compared to applying a modified YAML file?
Answer: C
Explanation:
kubectl patch applies a targeted change directly to the live Deployment without requiring the complete manifest to be edited and reapplied. Kubernetes then performs the corresponding rolling update according to the Deployment strategy.
NEW QUESTION # 241
What feature must a CNI support to control specific traffic flows for workloads running in Kubernetes?
Answer: D
Explanation:
To control which workloads can communicate with which other workloads in Kubernetes, you use NetworkPolicy resources-but enforcement depends on the cluster's networking implementation. Therefore, for traffic-flow control, the CNI/plugin must support Network Policies, making D correct.
Kubernetes defines the NetworkPolicy API as a declarative way to specify allowed ingress and egress traffic based on selectors (Pod labels, namespaces, IP blocks) and ports/protocols. However, Kubernetes itself does not enforce NetworkPolicy rules; enforcement is provided by the network plugin (or associated dataplane components). If your CNI does not implement NetworkPolicy, the objects may exist in the API but have no effect-Pods will communicate freely by default.
Option B (IP Address Management) is often part of CNI responsibilities, but IPAM is about assigning addresses, not enforcing L3/L4 security policy. Option A (BGP) is used by some CNIs to advertise routes (for example, in certain Calico deployments), but BGP is not the general requirement for policy enforcement. Option C (Pod Security Policy) is a deprecated/removed Kubernetes admission feature related to Pod security settings, not network flow control.
From a Kubernetes security standpoint, NetworkPolicies are a key tool for implementing least privilege at the network layer-limiting lateral movement, reducing blast radius, and segmenting environments. But they only work when the chosen CNI supports them. Thus, the correct answer is D: Network Policies.
NEW QUESTION # 242
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