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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Passing Score: | 75% |
| Exam Format: | Online proctored exam, Multiple select, Multiple choice |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Real Exam Qty: | Approximately 60 |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Administrator (CKA) |
| Recommended Training: | Introduction to Kubernetes (LFS158) Cloud Native Fundamentals / KCNA preparation courses |
| Exam Registration: | KCNA Exam Page Linux Foundation Certification Portal |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | No formal prerequisites; basic understanding of cloud, containers, and Kubernetes concepts is recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate-kcna/ |
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질문 # 22
How can you extend the Kubernetes API?
정답：A
설명：
A is correct: Kubernetes' API can be extended by adding CustomResourceDefinitions (CRDs) and/or by implementing the API Aggregation Layer. These are the two canonical extension mechanisms.
CRDs let you define new resource types (new kinds) that the Kubernetes API server stores in etcd and serves like native objects. You typically pair a CRD with a controller/operator that watches those custom objects and reconciles real resources accordingly. This pattern is foundational to the Kubernetes ecosystem (many popular add-ons install CRDs).
The aggregation layer allows you to add entire API services (aggregated API servers) that serve additional endpoints under the Kubernetes API. This is used when you want custom API behavior, custom storage, or specialized semantics beyond what CRDs provide (or when implementing APIs like metrics APIs historically).
Why the other answers are wrong:
B is not how API extension works. You don't "extend the API" by inventing new versions like v4beta3; versions are defined and implemented by API servers/controllers, not by users arbitrarily.
C is fictional; there is no standard kubectl extend api command.
D is also incorrect; kubelet parameters configure node agent behavior, not API server types and discovery.
So, the verified ways to extend Kubernetes' API surface are CRDs and API aggregation, which is option A.
질문 # 23
You are tasked with deploying a microservices application on Kubernetes. The application relies heavily on communication between its different services, and you need to ensure reliable and secure communication. Which of the following open standards are most relevant for this scenario?
정답：E
설명：
Open Service Mesh (OSM) is an open standard focused on providing a secure and reliable way to connect microservices. It helps with service discovery, load balancing, traffic management, and security features, making it ideal for deploying microservices applications on Kubernetes.
질문 # 24
What does the livenessProbe in Kubernetes help detect?
정답：D
설명：
The liveness probe in Kubernetes is designed to detect whether a container is still running correctly or has entered a failed or unresponsive state. Its primary purpose is to determine whether a container should be restarted. When a liveness probe fails repeatedly, Kubernetes assumes the container is unhealthy and automatically restarts it to restore normal operation.
Option D correctly describes this behavior. Liveness probes are used to identify situations where an application is running but no longer functioning as expected-for example, a deadlock, infinite loop, or hung process that cannot recover on its own. In such cases, restarting the container is often the most effective remediation, and Kubernetes handles this automatically through the liveness probe mechanism.
Option A is incorrect because readiness probes-not liveness probes-determine whether a container is ready to receive traffic. A container can be alive but not ready, such as during startup or temporary maintenance.
Option B is incorrect because startup success is handled by startup probes, which are specifically designed to manage slow-starting applications and delay liveness and readiness checks until initialization is complete.
Option C is incorrect because exceeding resource limits is managed by the container runtime and kubelet (for example, OOMKills), not by probes.
Liveness probes can be implemented using HTTP requests, TCP socket checks, or command execution inside the container. If the probe fails beyond a configured threshold, Kubernetes restarts the container according to the Pod's restart policy. This self-healing behavior is a core feature of Kubernetes and contributes significantly to application reliability.
Kubernetes documentation emphasizes using liveness probes carefully, as misconfiguration can cause unnecessary restarts. However, when used correctly, they provide a powerful way to automatically recover from application-level failures that Kubernetes cannot otherwise detect.
In summary, the liveness probe's role is to detect when a container is unresponsive and needs to be restarted, making option D the correct and fully verified answer.
질문 # 25
What is CloudEvents?
정답：D
설명：
CloudEvents is an open specification for describing event data in a common way to enable interoperability across services, platforms, and systems, so C is correct. In cloud-native architectures, many components communicate asynchronously via events (message brokers, event buses, webhooks). Without a standard envelope, each producer and consumer invents its own event structure, making integration brittle. CloudEvents addresses this by standardizing core metadata fields-like event id, source, type, specversion, and time-and defining how event payloads are carried.
This helps systems interoperate regardless of transport. CloudEvents can be serialized as JSON or other encodings and carried over HTTP, messaging systems, or other protocols. By using a shared spec, you can route, filter, validate, and transform events more consistently.
Option A is too narrow and incorrectly ties CloudEvents to Kubernetes traffic management; CloudEvents is broader than Kubernetes. Option B is closer but still framed incorrectly-CloudEvents is not merely "for all cloud providers," it is an interoperability spec across services and platforms, including but not limited to cloud provider event systems. Option D is clearly incorrect.
In Kubernetes ecosystems, CloudEvents is relevant to event-driven systems and serverless platforms (e.g., Knative Eventing and other eventing frameworks) because it provides a consistent event contract across producers and consumers. That consistency reduces coupling, supports better tooling (schema validation, tracing correlation), and makes event-driven architectures easier to operate at scale.
So, the correct definition is C: a specification for common event formats to enable interoperability across systems.
질문 # 26
A ________ is a ready-to-run software package, containing everything needed to run an application.
정답：B
질문 # 27
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