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| Certification Vendor: | Linux Foundation / CNCF |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Real Exam Qty: | 60 |
| Exam Format: | Online proctored, Multiple choice |
| Passing Score: | 75% |
| Related Certifications: | CKS (Certified Kubernetes Security Specialist) CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) KCSA (Kubernetes and Cloud Native Security Associate) |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 2 years |
| 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/ |
PrepPDF's web-based Linux Foundation KCNA practice test also contains mock exams just like the desktop practice exam software with some extra features. As this is a web-based software, this is accessible through any browser like Opera, Safari, Chrome, Firefox and MS Edge with a good internet connection. Kubernetes and Cloud Native Associate (KCNA) practice test is also customizable so that you can easily set the timings and change the number of questions according to your ease.
Linux Foundation is a non-profit organization that is dedicated to promoting open-source technology, collaboration, and innovation. One of the ways in which it does this is through its certification program, which is designed to recognize and validate the skills and expertise of individuals working in the field of open-source technology. As part of this program, the Linux Foundation offers the KCNA (Kubernetes and Cloud Native Associate) exam.
NEW QUESTION # 159
Which authorization-mode allows granular control over the operations that different entities can perform on different objects in a Kubernetes cluster?
Answer: B
NEW QUESTION # 160
You're deploying a microservices application in a Kubernetes cluster. How can you use Jaeger for distributed tracing to troubleshoot a performance issue within the application?
Answer: A,B,C
Explanation:
The correct answers are B, D, and E . To effectively use Jaeger for distributed tracing, you need to perform these steps: B: Instrument your application code to emit tracing data. Jaeger integrates with application code to track requests across services. It's common to use libraries like OpenTelemetry or Jaeger's client libraries to inject tracing data into your application's code. D: Configure a dedicated Jaeger deployment and configure your application to send tracing data to it. Jaeger needs its own deployment to collect and process the tracing data. You need to set up a Jaeger instance within your Kubernetes cluster and configure your application to send its tracing data to this instance. E: Use Jaeger's Ul to visualize the tracing data and analyze request flow across different services. Once the tracing data is collected, Jaeger provides a user interface to visualize the flow of requests across your microservices, identify bottlenecks, and analyze performance issues. The Jaeger UI allows you to drill down into individual traces, view the spans within a trace, and gain insights into latency, errors, and dependencies between services.
NEW QUESTION # 161
What is container runtime?
Answer: B
Explanation:
https://www.aquasec.com/cloud-native-academy/container-security/container-runtime/
NEW QUESTION # 162
You have a Kubernetes cluster with multiple worker nodes. Nodel has a label •role: web', Node2 has a label *role: database* , and Node3 has no labels. You deploy a pod with a 'nodeSelectoN set to 'role: web'. Which node(s) is/are eligible for the pod to be scheduled on?
Answer: C
Explanation:
The •nodeSelector• field explicitly specifies that the pod must be scheduled on a node with the label •role: web'. Only Nodel has this label, so it is the only eligible node. The absence of labels or the presence of different labels on other nodes does not satisfy the pod's scheduling requirements.
NEW QUESTION # 163
Manual reclamation policy of a PV resource is known as:
Answer: D
Explanation:
The correct answer is C: Retain. In Kubernetes persistent storage, a PersistentVolume (PV) has a persistentVolumeReclaimPolicy that determines what happens to the underlying storage asset after its PersistentVolumeClaim (PVC) is deleted. The reclaim policy options historically include Delete and Retain (and Recycle, which is deprecated/removed in many modern contexts). "Manual reclamation" refers to the administrator having to manually clean up and/or rebind the storage after the claim is released-this behavior corresponds to Retain.
With Retain, when the PVC is deleted, the PV moves to a "Released" state, but the actual storage resource (cloud disk, NFS path, etc.) is not deleted automatically. Kubernetes will not automatically make that PV available for a new claim until an administrator takes action-typically cleaning the data, removing the old claim reference, and/or creating a new PV/PVC binding flow. This is important for data safety: you don't want to automatically delete sensitive or valuable data just because a claim was removed.
By contrast, Delete means Kubernetes (via the storage provisioner/CSI driver) will delete the underlying storage asset when the claim is deleted-useful for dynamic provisioning and disposable environments.
Recycle used to scrub the volume contents and make it available again, but it's not the recommended modern approach and has been phased out in favor of dynamic provisioning and explicit workflows.
So, the policy that implies manual intervention and manual cleanup/reuse is Retain, which is option C.
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NEW QUESTION # 164
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