KCNA exam study material & KCNA exam training pdf & KCNA latest practice questions

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Linux Foundation KCNA Exam Syllabus Topics:

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

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q169-Q174):

NEW QUESTION # 169
A developer is tasked with configuring an Argo CD ApplicationSet to continuously deploy an application in a Kubernetes environment. Which of the following actions is essential for achieving this?

Answer: D

Explanation:
The ApplicationSet must identify the Git repository and manifest path that contain the desired application configuration. Argo CD can then continuously compare that source with the cluster state and synchronize changes.


NEW QUESTION # 170
Which of the following best describes the way K8S Role-based access control (RBAC) works?

Answer: A

Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/rbac/


NEW QUESTION # 171
What is the default deployment strategy in Kubernetes?

Answer: A

Explanation:
For Kubernetes Deployments, the default update strategy is RollingUpdate, which corresponds to "Rolling update" in option A. Rolling updates replace old Pods with new Pods gradually, aiming to maintain availability during the rollout. Kubernetes does this by creating a new ReplicaSet for the updated Pod template and then scaling the new ReplicaSet up while scaling the old one down.
The pace and safety of a rolling update are controlled by parameters like maxUnavailable and maxSurge. maxUnavailable limits how many replicas can be unavailable during the update, protecting availability. maxSurge controls how many extra replicas can be created temporarily above the desired count, helping speed up rollouts while maintaining capacity. If readiness probes fail, Kubernetes will pause progression because new Pods aren't becoming Ready, helping prevent a bad version from fully replacing a good one.
Options B (Blue/Green) and C (Canary) are popular progressive delivery patterns, but they are not the default built-in Deployment strategy. They are typically implemented using additional tooling (service mesh routing, traffic splitting controllers, or specialized rollout controllers) or by operating multiple Deployments/Services. Option D (Recreate) is a valid strategy but not the default; it terminates all old Pods before creating new ones, causing downtime unless you have external buffering or multi-tier redundancy.
From an application delivery perspective, RollingUpdate aligns with Kubernetes' declarative model: you update the desired Pod template and let the controller converge safely. kubectl rollout status is commonly used to monitor progress. Rollbacks are also supported because the Deployment tracks history. Therefore, the verified correct answer is A: Rolling update.


NEW QUESTION # 172
You're developing a new microservice for an application running on Kubernetes. The service requires access to a database hosted in a separate Kubernetes cluster. How would you ensure secure communication between your microservice and the database?

Answer: D

Explanation:
A service mesh like Istio or Linkerd provides a layer of abstraction that can handle encryption, authentication, and authorization bewveen microservices within and across Kubernetes clusters. It allows for secure communication without exposing sensitive credentials directly within the microservice code.


NEW QUESTION # 173
Which Kubernetes Service type exposes a service only within the cluster?

Answer: B

Explanation:
The ClusterIP Service type exposes a service on an internal virtual IP that is only reachable from within the Kubernetes cluster, making it suitable for internal service-to-service communication.


NEW QUESTION # 174
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