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| Section | Objectives |
|---|
| Topic 1: Cloud Native Observability | - Monitoring and logging
- 1. Observability tools overview
- 2. Metrics, logs, and tracing concepts
|
| Topic 2: Cloud Native Application Delivery | - CI/CD and deployment strategies
- 1. Release strategies (blue/green, canary)
- 2. GitOps concepts
|
| Topic 3: Cloud Security and Governance | - Security fundamentals in cloud native systems
- 1. Identity and access concepts
- 2. Basic Kubernetes security principles
|
| Topic 4: Kubernetes Fundamentals | - Core Kubernetes concepts
- 1. Pods, nodes, and control plane basics
- 2. Cluster architecture overview
|
| Topic 5: Cloud Native Architecture | - Microservices and distributed systems
- 1. Scalability and resilience patterns
- 2. Service discovery and API gateways
|
| Topic 6: Container Orchestration | - Container lifecycle and scheduling
- 1. Container runtimes
- 2. Workload management concepts
|
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q313-Q318):
NEW QUESTION # 313
What is an important consideration when choosing a base image for a container in a Kubernetes deployment?
- A. It should always be the latest version to ensure access to the newest features.
- B. It should be minimal and purpose-built for the application to reduce attack surface and improve performance.
- C. It can be any existing image from the public repository without consideration of its contents.
- D. It should be the largest available image to ensure all dependencies are included.
Answer: B
Explanation:
Choosing a minimal, purpose-built base image reduces the container's attack surface, lowers image size, and improves startup performance, which are key best practices for secure and efficient Kubernetes deployments.
NEW QUESTION # 314
What is the primary role of the kubelet in the Kubernetes runtime environment?
- A. Maintaining the health of the Kubernetes master node.
- B. Managing the network connectivity for pods in the cluster.
- C. Scheduling pods to nodes based on resource availability.
- D. Ensuring that pods are running as specified in their YAML files.
- E. Managing the communication between nodes in the cluster.
Answer: D
Explanation:
The kubelet is responsible for ensuring that pods are running as specified in their YAML files. It monitors the containers within a pod, restarts them if they fail, and manages the resources allocated to the pod. The kubelet is a crucial component of the Kubernetes runtime environment, ensuring that pods are running correctly and as expected.
NEW QUESTION # 315
Which control plane component is responsible for updating the node Ready condition if a node becomes unreachable?
- A. The node controller
- B. The kube-proxy
- C. The kube-apiserver
- D. The kubectl
Answer: A
Explanation:
The correct answer is B: the node controller. In Kubernetes, node health is monitored and reflected through Node conditions such as Ready. The Node Controller (a controller that runs as part of the control plane, within the controller-manager) is responsible for monitoring node heartbeats and updating node status when a node becomes unreachable or unhealthy.
Nodes periodically report status (including kubelet heartbeats) to the API server. The Node Controller watches these updates. If it detects that a node has stopped reporting within expected time windows, it marks the node condition Ready as Unknown (or otherwise updates conditions) to indicate the control plane can't confirm node health. This status change then influences higher-level behaviors such as Pod eviction and rescheduling: after grace periods and eviction timeouts, Pods on an unhealthy node may be evicted so the workload can be recreated on healthy nodes (assuming a controller manages replicas).
Option A (kube-proxy) is a node component for Service traffic routing and does not manage node health conditions. Option C (kubectl) is a CLI client; it does not participate in control plane health monitoring.
Option D (kube-apiserver) stores and serves Node status, but it doesn't decide when a node is unreachable; it persists what controllers and kubelets report. The "decision logic" for updating the Ready condition in response to missing heartbeats is the Node Controller's job.
So, the component that updates the Node Ready condition when a node becomes unreachable is the node controller, which is option B.
=========
NEW QUESTION # 316
Which tool is used to streamline installing and managing Kubernetes applications?
- A. helm
- B. apt
- C. brew
- D. service
Answer: A
Explanation:
Helm is the Kubernetes package manager used to streamline installing and managing applications, so B is correct. Helm packages Kubernetes resources into charts, which contain templates, default values, and metadata. When you install a chart, Helm renders templates into concrete manifests and applies them to the cluster. Helm also tracks a "release," enabling upgrades, rollbacks, and consistent lifecycle operations across environments.
This is why Helm is widely used for complex applications that require multiple Kubernetes objects (Deployments/StatefulSets, Services, Ingresses, ConfigMaps, RBAC, CRDs). Rather than manually maintaining many YAML files per environment, teams can parameterize configuration with values and reuse the same chart across dev/stage/prod with different overrides.
Option A (apt) and option D (brew) are OS package managers (Debian/Ubuntu and macOS/Linuxbrew respectively), not Kubernetes application managers. Option C (service) is a Linux service manager command pattern and not relevant here.
In cloud-native delivery pipelines, Helm often integrates with GitOps and CI/CD: the pipeline builds an image, updates chart values (image tag/digest), and deploys via Helm or via GitOps controllers that render/apply Helm charts. Helm also supports chart repositories and versioning, making it easier to standardize deployments and manage dependencies.
So, the verified tool for streamlined Kubernetes app install/management is Helm (B).
NEW QUESTION # 317
The three typical opentelemetry data is?
- A. Metrics
- B. All of the options
- C. Logs
- D. Traces
Answer: B
Explanation:
https://opentelemetry.io/docs/concepts/data-sources/

NEW QUESTION # 318
......
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