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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Passing Score: | 75% |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) |
| Exam Format: | Online proctored exam, Multiple select, Multiple choice |
| Available Languages: | English |
| Real Exam Qty: | Approximately 60 |
| Exam Duration: | 90 minutes |
| Exam Price: | $250 USD |
| 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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Linux Foundation KCNA Certification Exam is an excellent way for IT professionals to demonstrate their proficiency in Kubernetes and cloud native technologies. KCNA exam is challenging, but the certification can open up new career opportunities and increase earning potential. Kubernetes and Cloud Native Associate certification also provides access to a community of experts in the field and offers opportunities for further professional development. Overall, the Linux Foundation KCNA Certification Exam is a valuable investment for IT professionals who want to stay ahead of the curve in the rapidly evolving world of cloud computing.
NEW QUESTION # 154
Which of the following is a valid PromQL query?
Answer: C
Explanation:
Prometheus Query Language (PromQL) uses a function-and-selector syntax, not SQL. A valid query typically starts with a metric name and optionally includes label matchers in curly braces. In the simplified quiz syntax given, the valid PromQL-style selector is best represented by D: http_requests_total(job="apiserver"), so D is correct.
Conceptually, what this query means is "select time series for the metric http_requests_total where the job label equals apiserver." In standard PromQL formatting you most often see this as: http_requests_total{job="apiserver"}. Many training questions abbreviate braces and focus on the idea of filtering by labels; the key is that PromQL uses label matchers rather than SQL WHERE clauses.
Options A and C are invalid because they use SQL (SELECT * FROM ...) which is not PromQL. Option B is also invalid because PromQL does not use the keyword WHERE. PromQL filtering is done by applying label matchers directly to the metric selector.
In Kubernetes observability, PromQL is central to building dashboards and alerts from cluster metrics. For example, you might compute rates from counters: rate(http_requests_total{job="apiserver"}[5m]), aggregate by labels: sum by (code) (...), or alert on error ratios. Understanding the selector and label-matcher model is foundational because Prometheus metrics are multi-dimensional-labels define the slices you can filter and aggregate on.
So, within the provided options, D is the only one that follows PromQL's metric+label-filter style and therefore is the verified correct answer.
NEW QUESTION # 155
What native runtime is Open Container Initiative (OCI) compliant?
Answer: C
NEW QUESTION # 156
Which type of Service requires manual creation of Endpoints?
Answer: D
NEW QUESTION # 157
Which mechanism allows extending the Kubernetes API?
Answer: C
Explanation:
CustomResourceDefinition (CRD) allows users to extend the Kubernetes API by defining their own resource types, enabling Kubernetes to manage custom objects alongside built-in resources.
NEW QUESTION # 158
In Kubernetes, what is the primary purpose of using annotations?
Answer: D
Explanation:
Annotations in Kubernetes are a flexible mechanism for attaching non-identifying metadata to Kubernetes objects. Their primary purpose is to store additional information that is not used for object selection or grouping, which makes Option B the correct answer.
Unlike labels, which are designed to be used for selection, filtering, and grouping of resources (for example, by Services or Deployments), annotations are intended purely for informational or auxiliary purposes. They allow users, tools, and controllers to store arbitrary key-value data on objects without affecting Kubernetes' core behavior. This makes annotations ideal for storing data such as build information, deployment timestamps, commit hashes, configuration hints, or ownership details.
Annotations are commonly consumed by external tools and controllers rather than by the Kubernetes scheduler or control plane for decision-making. For example, ingress controllers, service meshes, monitoring agents, and CI/CD systems often read annotations to enable or customize specific behaviors. Because annotations are not used for querying or selection, Kubernetes places no strict size or structure requirements on their values beyond general object size limits.
Option A is incorrect because access permissions are managed using Role-Based Access Control (RBAC), which relies on roles, role bindings, and service accounts-not annotations. Option C is incorrect because deployment strategies (such as RollingUpdate or Recreate) are defined in the specification of workload resources like Deployments, not through annotations. Option D is also incorrect because resource limits and requests are specified explicitly in the Pod or container spec under the resources field.
In summary, annotations provide a powerful and extensible way to associate metadata with Kubernetes objects without influencing scheduling, selection, or identity. They support integration, observability, and operational tooling while keeping core Kubernetes behavior predictable and stable. This design intent is clearly documented in Kubernetes metadata concepts, making Option B the correct and verified answer.
NEW QUESTION # 159
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