CNCF · 2026 Edition
A complete preparation guide written by CNCF-certified engineers. Covers the exam format,all 5 blueprint domains, a week-by-week study plan, and proven tips for passing first time.
4–8 weeks
Prep time
Beginner
Difficulty
Hands-on lab
Format
Exam code
KCNA
Full name
Kubernetes and Cloud Native Associate
Vendor
CNCF
Duration
90 minutes
Exam format
Performance-based lab (no multiple-choice)
Domains covered
5 blueprint domains
Recommended experience
No formal prerequisites; basic familiarity with containers is helpful
Typical prep time
4–8 weeks
KCNA (Kubernetes and Cloud Native Associate) is the entry-level cloud native credential. It validates foundational knowledge of Kubernetes and the cloud native ecosystem — a natural starting point before pursuing CKA or CKAD.
Job roles this opens
Official CNCF blueprint weights — study time should roughly match these percentages.
Performance-based exam
The real exam is entirely performance-based — there are no multiple-choice questions. Courseiva questions reinforce concepts, but hands-on lab practice is still required.
Weeks 1–2
Kubernetes Fundamentals (46%): architecture, objects, workloads, scheduling basics
Tip: KCNA is a knowledge-based multiple choice exam, not a performance exam. Know the Kubernetes architecture: control plane components (kube-apiserver, etcd, kube-scheduler, kube-controller-manager) and worker node components (kubelet, kube-proxy, container runtime). Know what each component does.
Weeks 3–4
Container Orchestration (22%) and Cloud Native Architecture (16%)
Tip: Container orchestration concepts: service discovery, load balancing, horizontal scaling, rolling updates, self-healing (restart failed containers). Know what problems Kubernetes solves and what you would have to do manually without it.
Weeks 5–6
Cloud Native Observability (8%) and Application Delivery (8%)
Tip: Cloud native observability: metrics (quantitative data — Prometheus), logs (event records — Loki, Elasticsearch), traces (distributed request tracking — Jaeger, Zipkin). Know what each pillar of observability captures and which tools are associated with each.
Weeks 7–8
Practice questions and CNCF landscape review
Tip: The CNCF Cloud Native Landscape includes hundreds of projects. KCNA tests the most prominent ones: Prometheus (metrics), Grafana (dashboards), Fluentd (log aggregation), Jaeger (tracing), Argo CD (GitOps), Helm (package management), Linkerd/Istio (service mesh). Know what category each belongs to.
KCNA is 60 questions in 90 minutes. The passing score is 75%. It is a lower-pressure exam than CKA/CKAD — use it to validate your conceptual knowledge before diving into the performance-based exams.
GitOps is a key KCNA topic: the practice of using Git as the single source of truth for infrastructure and application configuration. Know the two GitOps operators — Argo CD and Flux CD — and what problem GitOps solves (drift between desired and actual cluster state).
Service mesh is tested at a conceptual level on KCNA: a service mesh adds a sidecar proxy to each pod to handle service-to-service communication (mTLS, traffic management, observability) without requiring application code changes. Istio and Linkerd are the primary implementations.
Container runtime interface (CRI): Kubernetes uses the CRI to communicate with container runtimes. Know that Docker was replaced as the default runtime by containerd, and that CRI-O is an alternative lightweight runtime. The CRI abstraction allows Kubernetes to work with any compliant runtime.
Serverless on Kubernetes is a KCNA topic: Knative provides event-driven serverless workloads on top of Kubernetes, automatically scaling to zero when there is no traffic. Know what problem Knative solves and how it differs from running a standard Deployment.
Apply everything in this guide with adaptive practice questions, detailed answer explanations, and domain analytics.
Deep-dive explanations of the key topics tested on KCNA — with exam key points and common misconceptions.