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| Section | Objectives |
|---|---|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Container Orchestration | - Container lifecycle and scheduling
|
| Cloud Native Observability | - Monitoring and logging
|
>> KCNA Test Objectives Pdf <<
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NEW QUESTION # 134
Which Kubernetes Service type exposes a service only within the cluster?
Answer: A
Explanation:
In Kubernetes, a Service provides a stable network endpoint for a set of Pods and abstracts away their dynamic nature. Kubernetes offers several Service types, each designed for different exposure requirements.
Among these, ClusterIP is the Service type that exposes an application only within the cluster, making it the correct answer.
When a Service is created with the ClusterIP type, Kubernetes assigns it a virtual IP address that is reachable exclusively from within the cluster's network. This IP is used by other Pods and internal components to communicate with the Service through cluster DNS or environment variables. External traffic from outside the cluster cannot directly access a ClusterIP Service, which makes it ideal for internal APIs, backend services, and microservices that should not be publicly exposed.
Option B (NodePort) is incorrect because NodePort exposes the Service on a static port on each node's IP address, allowing access from outside the cluster. Option C (LoadBalancer) is incorrect because it provisions an external load balancer-typically through a cloud provider-to expose the Service publicly. Option D (ExternalName) is incorrect because it does not create a proxy or internal endpoint at all; instead, it maps the Service name to an external DNS name outside the cluster.
ClusterIP is also the default Service type in Kubernetes. If no type is explicitly specified in a Service manifest, Kubernetes automatically assigns it as ClusterIP. This default behavior reflects the principle of least exposure, encouraging internal-only access unless external access is explicitly required.
From a cloud native architecture perspective, ClusterIP Services are fundamental to building secure, scalable microservices systems. They enable internal service-to-service communication while reducing the attack surface by preventing unintended external access.
According to Kubernetes documentation, ClusterIP Services are intended for internal communication within the cluster and are not reachable from outside the cluster network. Therefore, ClusterIP is the correct and fully verified answer, making option A the right choice.
NEW QUESTION # 135
In a Kubernetes cluster, what is the primary role of the Kubernetes scheduler?
Answer: B
Explanation:
The Kubernetes scheduler is a core control plane component responsible for deciding where Pods should run within a cluster. Its primary role is to assign newly created Pods that do not yet have a node assigned to an appropriate node based on a variety of factors such as resource availability, scheduling constraints, and policies.
When a Pod is created, it enters a Pending state until the scheduler selects a suitable node. The scheduler evaluates all available nodes and filters out those that do not meet the Pod's requirements. These requirements may include CPU and memory requests, node selectors, node affinity rules, taints and tolerations, topology spread constraints, and other scheduling policies. After filtering, the scheduler scores the remaining nodes to determine the best placement for the Pod and then binds the Pod to the selected node.
Option A is incorrect because restarting failed Pods is handled by other components such as the kubelet and higher-level controllers like Deployments, ReplicaSets, or StatefulSets-not the scheduler. Option B is incorrect because monitoring node and Pod health is primarily the responsibility of the kubelet and the Kubernetes controller manager, which reacts to node failures and ensures desired state. Option C is incorrect because handling network traffic is managed by Services, kube-proxy, and the cluster's networking implementation, not the scheduler.
Option D correctly describes the scheduler's purpose. By distributing Pods across nodes based on resource availability and constraints, the scheduler helps ensure efficient resource utilization, high availability, and workload isolation. This intelligent placement is essential for maintaining cluster stability and performance, especially in large-scale or multi-tenant environments.
According to Kubernetes documentation, the scheduler's responsibility is strictly focused on Pod placement decisions. Once a Pod is scheduled, the scheduler's job is complete for that Pod, making option D the accurate and fully verified answer.
NEW QUESTION # 136
What command can you use to get documentation about a resource type from the command line?
Answer: B
Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#explain
NEW QUESTION # 137
Consider the following Kubernetes pod YAML definition:
Which of the following statements is TRUE about this pod's scheduling behavior?
Answer: E
Explanation:
The 'nodeselector• field instructs Kubernetes to schedule the pod ONLY on a node labeled with 'kubernetes.io/hostname: nodel*. However, the •tolerations' field specifies that the pod can tolerate a taint with the key 'keyl • , the value 'valuel • , and the effect 'NoSchedule'. This means that the pod will NOT be scheduled on a node that has that taint applied, even if the node meets the •nodeSelector• condition. The •requests' and 'limits' fields specify resource requirements for the pod, but they are not the primary factor determining the pod's scheduling in this case. The •tolerations* field takes precedence due to its 'NoSchedule• effect.
NEW QUESTION # 138
You're using a cloud provider's managed Kubernetes service with different pricing tiers for nodes. You want to optimize costs by using a mix of node types based on your workload needs. Which of the following is the most appropriate approach?
Answer: B,C
Explanation:
Using a mix of node types based on workload needs is a key cost optimization strategy. Node pools with different node types allow you to run resource-intensive workloads on powerful nodes and less demanding workloads on less expensive nodes. A node selector can be used to target specific pools for deployments. Third-party tools can analyze resource utilization and provide recommendations for node type assignments. Manually choosing node types for each deployment is inefficient and prone to errors. HPA is designed for scaling pods, not choosing node types.
NEW QUESTION # 139
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