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| Section | Weight | Objectives |
|---|
| Cloud Native Architecture | 16% | - Infrastructure and Practices
- 1. DevOps Practices and Culture
- 2. Immutable Infrastructure
- 3. Infrastructure as Code (IaC)
- Architecture Concepts
- 1. Microservices Architecture
- 2. Serverless and FaaS
- 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
|
| Cloud Native Observability | 8% | - Logging
- 1. Kubernetes Logging Architecture
- 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Tracing
- 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
- Monitoring and Metrics
- 1. Dashboards and Visualization (Grafana)
- 2. Prometheus and Metrics Collection
|
| Kubernetes Fundamentals | 46% | - Scheduling
- 1. Node Selection and Affinity
- 2. Resource Requests and Limits
- 3. Taints and Tolerations
- Kubernetes Resources
- 1. Networking Resources (Services, Ingress)
- 2. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
- 3. Configuration Resources (ConfigMaps, Secrets)
- Containers
- 1. Basic kubectl Commands
- 2. Container Images and Registries
- 3. Container Runtime Interface (CRI)
- Kubernetes API
- 1. API Resource Structure and Versioning
- 2. Declarative Management (Manifests/YAML)
- Kubernetes Architecture
- 1. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
- 2. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
|
| Container Orchestration | 22% | - Storage
- 1. Storage Classes and Dynamic Provisioning
- 2. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
- Security
- 1. Network Policies
- 2. Pod Security Standards (Admission Control)
- 3. RBAC (Role-Based Access Control)
- Networking
- 1. CoreDNS and Service Networking
- 2. Kubernetes Networking Model
- Service Mesh
- 1. Sidecar Pattern and Traffic Management
- 2. Service Mesh Concepts (Istio, Linkerd)
- Orchestration Fundamentals
- 1. Scheduling and Resource Management
- 2. Self-healing and Rolling Updates
- 3. Service Discovery and Load Balancing
- Container Runtimes
- 1. Docker, containerd, CRI-O
|
| Cloud Native Application Delivery | 8% | - 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. Tools (Argo CD, Flux)
- 2. GitOps Principles and Workflow
|
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q186-Q191):
NEW QUESTION # 186
You are deploying a microservices application with several independent services that need to communicate with each other. What is the most suitable way to configure networking between these services in Kubernetes?
- A. Use a separate Service of type 'ClusterlP' for each service to isolate their communication.
- B. Use host networking for all services so that they share the same network namespace.
- C. Use a Service of type 'NodePort' for each service to expose them on the node's IP address.
- D. Use a combination of Services and Ingress resources to manage network traffic between services and external access.
- E. Use a single Service of type 'ClusterlP' for all services to share a common endpoint.
Answer: A
Explanation:
The most suitable way to configure networking between independent services in Kubernetes is to use a separate Service of type 'ClusterlP' for each service. This allows for isolated communication between services and avoids conflicts or unexpected interactions. Option A is incorrect because using host networking can lead to security risks and complexities in managing network resources. Option B is incorrect because using a single Service for all services doesn't allow for independent access or scaling of individual services. Option D is incorrect because using 'NodePort' exposes services to the node's IP address, which is not necessary for internal communication. Option E is correct for managing external access and ingress but not for internal communication between services.
NEW QUESTION # 187
What Kubernetes control plane component exposes the programmatic interface used to create, manage and interact with the Kubernetes objects?
- A. kube-proxy
- B. etcd
- C. kube-controller-manager
- D. kube-apiserver
Answer: D
NEW QUESTION # 188
You are running a production-critical application on Kubernetes. You need to ensure that if a pod fails, a new pod is automatically created to replace it. Which Kubernetes feature accomplishes this automatic pod replacement?
- A. Pod Disruption Budget (PDB)
- B. Namespace
- C. ReplicaSet
- D. Deployment
- E. Service
Answer: D
Explanation:
Deployments are Kubernetes resources designed to manage the lifecycle of pods. They provide features like rolling updates, automatic restarts, and self-healing. When a pod fails, the Deployment controller detects the failure and automatically creates a new pod to replace it, ensuring high availability.
NEW QUESTION # 189
What is a best practice to minimize the container image size?
- A. Build images with different tags.
- B. Use multistage builds.
- C. Add a build.sh script.
- D. Use a DockerFile.
Answer: B
NEW QUESTION # 190
What is a key feature of a container network?
- A. Proxying REST requests across a set of containers.
- B. Allowing containers running on separate hosts to communicate.
- C. Caching remote disk access.
- D. Allowing containers on the same host to communicate.
Answer: B
Explanation:
A defining requirement of container networking in orchestrated environments is enabling workloads to communicate across hosts, not just within a single machine. That's why B is correct: a key feature of a container network is allowing containers (Pods) running on separate hosts to communicate.
In Kubernetes, this idea becomes the Kubernetes network model: every Pod gets an IP address, and Pods should be able to communicate with other Pods across nodes without needing NAT (depending on implementation details). Achieving that across a cluster requires a networking layer (typically implemented by a CNI plugin) that can route traffic between nodes so that Pod-to-Pod communication works regardless of placement. This is crucial because schedulers dynamically place Pods; you cannot assume two communicating components will land on the same node.
Option C is true in a trivial sense-containers on the same host can communicate-but that capability alone is not the key feature that makes orchestration viable at scale. Cross-host connectivity is the harder and more essential property. Option A describes application-layer behavior (like API gateways or reverse proxies) rather than the foundational networking capability. Option D describes storage optimization, unrelated to container networking.
From a cloud native architecture perspective, reliable cross-host networking enables microservices patterns, service discovery, and distributed systems behavior. Kubernetes Services, DNS, and NetworkPolicies all depend on the underlying ability for Pods across the cluster to send traffic to each other. If your container network cannot provide cross-node routing and reachability, the cluster behaves like isolated islands and breaks the fundamental promise of orchestration: "schedule anywhere, communicate consistently."
NEW QUESTION # 191
......
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