KCNA資格難易度 & KCNA復習内容

ちなみに、Jpshiken KCNAの一部をクラウドストレージからダウンロードできます:https://drive.google.com/open?id=1QLuOqOahh5_y5yBClQrI2nxA32Md_imI

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Linux Foundation KCNA Exam Syllabus Topics:

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

>> KCNA資格難易度 <<

Linux Foundation KCNA Exam | KCNA資格難易度 - 優秀なウェブサイト KCNA: Kubernetes and Cloud Native Associate 試験

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Linux Foundation Kubernetes and Cloud Native Associate 認定 KCNA 試験問題 (Q134-Q139):

質問 # 134
In which framework do the developers no longer have to deal with capacity, deployments, scaling and fault tolerance, and OS?

正解:C


質問 # 135
What Kubernetes control plane component exposes the programmatic interface used to create, manage and interact with the Kubernetes objects?

正解:A


質問 # 136
What does SBOM stand for?

正解:D

解説:
SBOM stands for Software Bill of Materials, which is a formal inventory of the components, libraries, and dependencies included in a software artifact, used to improve transparency, security, and supply chain risk management.


質問 # 137
The Container Runtime Interface (CRI) defines the protocol for the communication between:

正解:D

解説:
The CRI (Container Runtime Interface) defines how the kubelet talks to the container runtime, so A is correct. The kubelet is the node agent responsible for ensuring containers are running in Pods on that node. It needs a standardized way to request operations such as: create a Pod sandbox, pull an image, start/stop containers, execute commands, attach streams, and retrieve logs. CRI provides that contract so kubelet does not need runtime-specific integrations.
This interface is a key part of Kubernetes' modular design. Different container runtimes implement the CRI, allowing Kubernetes to run with containerd, CRI-O, and other CRI-compliant runtimes. This separation of concerns lets Kubernetes focus on orchestration, while runtimes focus on executing containers according to the OCI runtime spec, managing images, and handling low-level container lifecycle.
Why the other options are incorrect:
* etcd is the control plane datastore; container runtimes do not communicate with etcd via CRI.
* kube-apiserver and kubelet communicate using Kubernetes APIs, but CRI is not their protocol; CRI is specifically kubelet # runtime.
* container runtime and image registry communicate using registry protocols (image pull/push APIs), but that is not CRI. CRI may trigger image pulls via runtime requests, yet the actual registry communication is separate.
Operationally, this distinction matters when debugging node issues. If Pods are stuck in "ContainerCreating" due to image pull failures or runtime errors, you often investigate kubelet logs and the runtime (containerd
/CRI-O) logs. Kubernetes administrators also care about CRI streaming (exec/attach/logs streaming), runtime configuration, and compatibility across Kubernetes versions.
So, the verified answer is A: the kubelet and the container runtime.
=========


質問 # 138
What is the minimum number of etcd members that are required for a highly available Kubernetes cluster?

正解:A

解説:
D (three etcd members) is correct. etcd is a distributed key-value store that uses the Raft consensus algorithm. High availability in consensus systems depends on maintaining a quorum (majority) of members to continue serving writes reliably. With 3 members, the cluster can tolerate 1 failure and still have 2/3 available-enough for quorum.
Two members is a common trap: with 2, a single failure leaves 1/2, which is not a majority, so the cluster cannot safely make progress. That means 2-member etcd is not HA; it is fragile and can be taken down by one node loss, network partition, or maintenance event. Five members can tolerate 2 failures and is a valid HA configuration, but it is not the minimum. Six is even-sized and generally discouraged for consensus because it doesn't improve failure tolerance compared to five (quorum still requires 4), while increasing coordination overhead.
In Kubernetes, etcd reliability directly affects the API server and the entire control plane because etcd stores cluster state: object specs, status, controller state, and more. If etcd loses quorum, the API server will be unable to persist or reliably read/write state, leading to cluster management outages. That's why the minimum HA baseline is three etcd members, often across distinct failure domains (nodes/AZs), with strong disk performance and consistent low-latency networking.
So, the smallest etcd topology that provides true fault tolerance is 3 members, which corresponds to option D.
=========


質問 # 139
......

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KCNA復習内容: https://www.jpshiken.com/KCNA_shiken.html

ちなみに、Jpshiken KCNAの一部をクラウドストレージからダウンロードできます:https://drive.google.com/open?id=1QLuOqOahh5_y5yBClQrI2nxA32Md_imI