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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cloud Native Architecture16%- Architecture Concepts
  • 1. Autoscaling (HPA, VPA, Cluster Autoscaler)
  • 2. Microservices Architecture
  • 3. Elasticity and Resilience
  • 4. Serverless and FaaS
- Cloud Native Landscape
  • 1. CNCF Role and Governance
  • 2. CNCF Project Categories (Sandbox, Incubating, Graduated)
- Infrastructure and Practices
  • 1. Infrastructure as Code (IaC)
  • 2. DevOps Practices and Culture
  • 3. Immutable Infrastructure
Topic 2: Cloud Native Observability8%- Monitoring and Metrics
  • 1. Prometheus and Metrics Collection
  • 2. Dashboards and Visualization (Grafana)
- Logging
  • 1. Kubernetes Logging Architecture
  • 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Tracing
  • 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
Topic 3: Container Orchestration22%- Container Runtimes
  • 1. Docker, containerd, CRI-O
- Orchestration Fundamentals
  • 1. Self-healing and Rolling Updates
  • 2. Service Discovery and Load Balancing
  • 3. Scheduling and Resource Management
- Storage
  • 1. Storage Classes and Dynamic Provisioning
  • 2. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
- Service Mesh
  • 1. Sidecar Pattern and Traffic Management
  • 2. Service Mesh Concepts (Istio, Linkerd)
- Networking
  • 1. Kubernetes Networking Model
  • 2. CoreDNS and Service Networking
- Security
  • 1. RBAC (Role-Based Access Control)
  • 2. Pod Security Standards (Admission Control)
  • 3. Network Policies
Topic 4: Kubernetes Fundamentals46%- Scheduling
  • 1. Taints and Tolerations
  • 2. Node Selection and Affinity
  • 3. Resource Requests and Limits
- Kubernetes API
  • 1. API Resource Structure and Versioning
  • 2. Declarative Management (Manifests/YAML)
- Containers
  • 1. Container Runtime Interface (CRI)
  • 2. Container Images and Registries
  • 3. Basic kubectl Commands
- Kubernetes Architecture
  • 1. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
  • 2. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
- Kubernetes Resources
  • 1. Networking Resources (Services, Ingress)
  • 2. Configuration Resources (ConfigMaps, Secrets)
  • 3. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
Topic 5: Cloud Native Application Delivery8%- GitOps
  • 1. Tools (Argo CD, Flux)
  • 2. GitOps Principles and Workflow
- Deployment Strategies
  • 1. Blue/Green, Canary, Rolling Updates
- 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 (Q184-Q189):

NEW QUESTION # 184
Which key-value store is used to persist Kubernetes cluster data?

Answer: D

Explanation:
Kubernetes stores its cluster state (API objects) in etcd, making A correct. etcd is a distributed, strongly consistent key-value store that serves as the source of truth for the Kubernetes control plane. When you create or update objects such as Pods, Deployments, ConfigMaps, Secrets, or Nodes, the kube-apiserver validates the request and then persists the desired state into etcd. Controllers and the scheduler watch the API for changes (which ultimately reflect etcd state) and reconcile the cluster to match that desired state.
etcd's consistency guarantees are crucial. Kubernetes relies on accurate, up-to-date state to make scheduling decisions, enforce RBAC/admission policies, coordinate leader elections, and ensure controllers behave correctly. etcd uses the Raft consensus algorithm to replicate data among members and requires quorum for writes, enabling fault tolerance when deployed in HA configurations (commonly three or five members).
The other options are incorrect in Kubernetes' standard architecture. ZooKeeper is a distributed coordination system used by some other platforms, but Kubernetes does not use it as its primary datastore. Redis is an in- memory data store used for caching or messaging, not as Kubernetes' authoritative state store.
"ControlPlaneStore" is not a standard Kubernetes component.
Operationally, etcd health is one of the most important determinants of cluster reliability. Slow disk I/O or unstable networking can degrade etcd performance and cause API latency spikes. Backup and restore procedures for etcd are critical disaster-recovery practices, and securing etcd (TLS, access restrictions) is essential because it may contain sensitive data (e.g., Secrets-often base64-encoded, and optionally encrypted at rest depending on configuration).
Therefore, the verified Kubernetes datastore is etcd, option A.
=========


NEW QUESTION # 185
How can a Pod be configured to use a ServiceAccount for authenticated API access?

Answer: D

Explanation:
Specifying a ServiceAccount in the Pod specification causes Kubernetes to automatically mount its authentication token into the Pod, enabling the application to securely access the API.


NEW QUESTION # 186
What is the reference implementation of the OCI runtime specification?

Answer: A


NEW QUESTION # 187
A Kubernetes node is on hardware that is scheduled for maintenance. How can the Pods scheduled on that node be identified so workloads can be redirected before the node is taken out of service?

Answer: B

Explanation:
The kubectl get pods -o wide --all-namespaces command displays all Pods along with the nodes they are running on, allowing identification of Pods scheduled on the specific node before maintenance.


NEW QUESTION # 188
You are setting up Prometheus to monitor a Kubernetes cluster. You need to ensure that Prometheus can collect metrics from pods running different applications. Which Kubernetes object is typically used to configure Prometheus for scraping these pods?

Answer: E

Explanation:
A ConfigMap is typically used to provide Prometheus with the necessary configuration for scraping pods. The ConfigMap can contain details such as scraping intervals, target labels, and authentication credentials. This configuration allows Prometheus to effectively monitor pods running different applications within the Kubernetes cluster.


NEW QUESTION # 189
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