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Linux Foundation KCNA Certification is recognized globally and is highly valued by employers. Kubernetes and Cloud Native Associate certification demonstrates that an individual has the skills and knowledge required to deploy, manage, and scale containerized applications using Kubernetes and cloud-native technologies. This makes them a valuable asset to any organization that is looking to adopt modern application development practices.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q96-Q101):

NEW QUESTION # 96
A Kubernetes _____ is an abstraction that defines a logical set of Pods and a policy by which to access them.

A. Controller
B. Job
C. Service
D. Selector

Answer: C

Explanation:
A Kubernetes Service is the abstraction that defines a logical set of Pods and the policy for accessing them, so C is correct. Pods are ephemeral: their IPs change as they are recreated, rescheduled, or scaled. A Service solves this by providing a stable endpoint (DNS name and virtual IP) and routing rules that send traffic to the current healthy Pods backing the Service.
A Service typically uses a label selector to identify which Pods belong to it. Kubernetes then maintains endpoint data (Endpoints/EndpointSlice) for those Pods and uses the cluster dataplane (kube-proxy or eBPF-based implementations) to forward traffic from the Service IP/port to one of the backend Pod IPs. This is what the question means by "logical set of Pods" and "policy by which to access them" (for example, round-robin-like distribution depending on dataplane, session affinity options, and how ports map via targetPort).
Option A (Selector) is only the query mechanism used by Services and controllers; it is not itself the access abstraction. Option B (Controller) is too generic; controllers reconcile desired state but do not provide stable network access policies. Option D (Job) manages run-to-completion tasks and is unrelated to network access abstraction.
Services can be exposed in different ways: ClusterIP (internal), NodePort, LoadBalancer, and ExternalName. Regardless of type, the core Service concept remains: stable access to a dynamic set of Pods. This is foundational to Kubernetes networking and microservice communication, and it is why Service discovery via DNS works effectively across rolling updates and scaling events.
Thus, the correct answer is Service (C).

NEW QUESTION # 97
Which persona is normally responsible for defining, testing, and running an incident management process?

A. Application Developers
B. Project Managers
C. Quality Engineers
D. Site Reliability Engineers

Answer: D

Explanation:
The role most commonly responsible for defining, testing, and running an incident management process is Site Reliability Engineers (SREs), so A is correct. SRE is an operational engineering discipline focused on ensuring reliability, availability, and performance of services in production. Incident management is a core part of that mission: when outages or severe degradations occur, someone must coordinate response, restore service quickly, and then drive follow-up improvements to prevent recurrence.
In cloud native environments (including Kubernetes), incident response involves both technical and process elements. On the technical side, SREs ensure observability is in place-metrics, logs, traces, dashboards, and actionable alerts-so incidents can be detected and diagnosed quickly. They also validate operational readiness: runbooks, escalation paths, on-call rotations, and post-incident review practices. On the process side, SREs often establish severity classifications, response roles (incident commander, communications lead, subject matter experts), and "game day" exercises or simulated incidents to test preparedness.
Project managers may help coordinate schedules and communication for projects, but they are not typically the owners of operational incident response mechanics. Application developers are crucial participants during incidents, especially for debugging application-level failures, but they are not usually the primary maintainers of the incident management framework. Quality engineers focus on testing and quality assurance, and while they contribute to preventing defects, they are not usually the owners of real-time incident operations.
In Kubernetes specifically, incidents often span multiple layers: workload behavior, cluster resources, networking, storage, and platform dependencies. SREs are positioned to manage the cross-cutting operational view and to continuously improve reliability through error budgets, SLOs/SLIs, and iterative hardening. That's why the correct persona is Site Reliability Engineers.

NEW QUESTION # 98
Consider the following Kubernetes YAML configuration for a Deployment:

What is the purpose of the 'replicas' field in this configuration, and how does it affect the Deployment? The 'replicas'' field specifies the number of Pods that should be created and maintained by the Deployment. It controls the desired number of running instances of the application.

A. The 'replicas' field defines the minimum number of Pods that should be available at all times. It ensures that the application remains available even if some Pods fail.
B. The 'replicas' field specifies the maximum number of Pods that can be created by the Deployment. It limits the amount of resources that the application can consume.
C. The 'replicas' field specifies the number of nodes in the Kubernetes cluster. It determines the number of Pods that can be scheduled
D. The 'replicas' field specifies the initial number of Pods that should be created when the Deployment is deployed. It does not affect the number of Pods that are running after the initial deployment.

Answer: A

Explanation:
The 'replicas' field in a Deployment specifies the number of Pods that should be created and maintained by the Deployment. It controls the desired number of running instances of the application. If a Pod fails, the Deployment will automatically create a new Pod to replace it, ensuring that the desired number of replicas is maintained.

NEW QUESTION # 99
Which of the following best describes the concept of 'cold starts' in serverless computing?

A. The time taken for a serverless function to access and process data from a database.
B. The time it takes for a serverless function to be initialized and ready to execute after a period of inactivity.
C. The latency introduced by network communication between a serverless function and its dependencies.
D. The overhead associated with invoking a serverless function from an external client.
E. The time required for a serverless function to scale up to handle increased workload.

Answer: B

Explanation:
Cold starts refer to the time it takes for a serverless function to be provisioned, loaded into memory, and ready for execution after a period of inactivity. This latency is a characteristic of serverless environments and can affect performance, especially for infrequent function invocations. Options B, C, D, and E describe other factors that can contribute to latency in serverless applications but are not the defining characteristic of cold starts

NEW QUESTION # 100
Your application requires a specific storage class for its persistent dat
a. How do you configure this storage class within your deployment YAML?

A. Create a separate PersistentVolumeClaim (PVC) with the desired storage class and reference the PVC in the deployment's name' field.
B. Specify the storage class name within the 'spec.template.spec.containers[01.volumeMounts[0].storageClassName' field of the deployment.
C. None of the above
D. Specify the storage class name within the field of the deployment.
E. Specify the storage class name directly within the 'spec.template.spec.containers[0].volumeMounts[0].name' field of the deployment.

Answer: A

Explanation:
The correct approach is to create a separate PersistentVolumeClaim (PVC) that specifies the desired storage class and reference the PVC in the deployments 'spec_template.spec_containers[0]_volumeMounts[0]_name' field. This ensures the PVC is automatically bound to a PV with the correct storage class. Specifying the storage class name directly within the deployment or the volumeMounts section is not the standard practice for defining storage requirements.

NEW QUESTION # 101
......

The Kubernetes and Cloud Native Associate certification exam is one of the top-rated career advancement certification exams. The Linux Foundation KCNA certification exam can play a significant role in career success. With the Kubernetes and Cloud Native Associate (KCNA) certification, you can gain several benefits such as validation of skills, career advancement, competitive advantage, continuing education, and global recognition of your skills and knowledge.

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