Free PDF Quiz 2026 KCNA: Kubernetes and Cloud Native Associate Pass-Sure Valid Study Materials

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| Section | Weight | Objectives |
|---|
| Topic 1: Container Orchestration | 22% | - Container Runtimes
- 1. Docker, containerd, CRI-O
- Orchestration Fundamentals
- 1. Service Discovery and Load Balancing
- 2. Self-healing and Rolling Updates
- 3. Scheduling and Resource Management
- Service Mesh
- 1. Service Mesh Concepts (Istio, Linkerd)
- 2. Sidecar Pattern and Traffic Management
- Storage
- 1. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
- 2. Storage Classes and Dynamic Provisioning
- Networking
- 1. Kubernetes Networking Model
- 2. CoreDNS and Service Networking
- Security
- 1. Network Policies
- 2. RBAC (Role-Based Access Control)
- 3. Pod Security Standards (Admission Control)
|
| Topic 2: Kubernetes Fundamentals | 46% | - Kubernetes API
- 1. Declarative Management (Manifests/YAML)
- 2. API Resource Structure and Versioning
- Kubernetes Resources
- 1. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
- 2. Networking Resources (Services, Ingress)
- 3. Configuration Resources (ConfigMaps, Secrets)
- Containers
- 1. Basic kubectl Commands
- 2. Container Images and Registries
- 3. Container Runtime Interface (CRI)
- Scheduling
- 1. Taints and Tolerations
- 2. Node Selection and Affinity
- 3. Resource Requests and Limits
- Kubernetes Architecture
- 1. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
- 2. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
|
| Topic 3: Cloud Native Observability | 8% | - Monitoring and Metrics
- 1. Prometheus and Metrics Collection
- 2. Dashboards and Visualization (Grafana)
- Logging
- 1. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- 2. Kubernetes Logging Architecture
- Tracing
- 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
|
| Topic 4: Cloud Native Architecture | 16% | - Infrastructure and Practices
- 1. Infrastructure as Code (IaC)
- 2. Immutable Infrastructure
- 3. DevOps Practices and Culture
- Cloud Native Landscape
- 1. CNCF Role and Governance
- 2. CNCF Project Categories (Sandbox, Incubating, Graduated)
- Architecture Concepts
- 1. Serverless and FaaS
- 2. Autoscaling (HPA, VPA, Cluster Autoscaler)
- 3. Microservices Architecture
- 4. Elasticity and Resilience
|
| Topic 5: Cloud Native Application Delivery | 8% | - Deployment Strategies
- 1. Blue/Green, Canary, Rolling Updates
- GitOps
- 1. Tools (Argo CD, Flux)
- 2. GitOps Principles and Workflow
- CI/CD
- 1. Continuous Integration and Continuous Delivery Pipelines
- 2. Artifact Management and Image Registries
|
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q125-Q130):
NEW QUESTION # 125
Which prometheus metric type represents a single number value that can increase and decrease over time?
- A. Histogram
- B. Counter
- C. Gauge
- D. Summary
Answer: C
Explanation:
https://prometheus.io/docs/concepts/metric_types/#gauge

NEW QUESTION # 126
What is autoscaling?
- A. Automatically assigning workloads to nodes in a cluster
- B. Automatically repairing broken application instances
- C. Automatically adding or removing compute resources as needed
- D. Automatically measuring resource usage
Answer: C
Explanation:
Autoscaling means automatically scaling up or down in response to real-time usage data.
NEW QUESTION # 127
Kubernetes___ protect you against voluntary interruptions (such as deleting Pods, draining nodes) to run applications in a highly available manner.
- A. Pod Disruption Budgets
- B. Resource Limits and Requests
- C. Taints and Tolerances
- D. Pod Topology Spread Constraints
Answer: A
NEW QUESTION # 128
Which of the following best describes the way K8S Role-based access control (RBAC) works?
- A. States which users can perform which actions against the resources.
- B. K8S does not do RBAC or Cluster role
- C. RBAC lists which operations are denied to users
Answer: A
NEW QUESTION # 129
What service account does a Pod use in a given namespace when the service account is not specified?
- A. admin
- B. root
- C. sysadmin
- D. default
Answer: D
Explanation:
D (default) is correct. In Kubernetes, if you create a Pod (or a controller creates Pods) without specifying spec.serviceAccountName, Kubernetes assigns the Pod the default ServiceAccount in that namespace. The ServiceAccount determines what identity the Pod uses when accessing the Kubernetes API (for example, via the in-cluster token mounted into the Pod, when token automounting is enabled).
Every namespace typically has a default ServiceAccount created automatically. The permissions associated with that ServiceAccount are determined by RBAC bindings. In many clusters, the default ServiceAccount has minimal permissions (or none) as a security best practice, because leaving it overly privileged would allow any Pod to access sensitive cluster APIs.
Why the other options are wrong: Kubernetes does not automatically choose "admin," "sysadmin," or "root" service accounts. Those are not standard implicit identities, and automatically granting admin privileges would be insecure. Instead, Kubernetes follows a predictable, least-privilege-friendly default: use the namespace's default ServiceAccount unless you explicitly request a different one.
Operationally, this matters for security and troubleshooting. If an application in a Pod is failing with "forbidden" errors when calling the API, it often means it's using the default ServiceAccount without the necessary RBAC permissions. The correct fix is usually to create a dedicated ServiceAccount and bind only the required roles, then set serviceAccountName in the Pod template. Conversely, if you're hardening a cluster, you often disable automounting of service account tokens for Pods that don't need API access.
Therefore, the verified correct answer is D: default.
NEW QUESTION # 130
......
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