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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q91-Q96):
NEW QUESTION # 91
Consider the following Kubernetes YAML definition:
apiVersion: vl
kind: Pod
metadata:
name: nginx-pod
spec:
containers :
- name: nginx
image: nginx: latest
ports :
- containerPort: 80
If you were to deploy this Pod definition, what port would the Nginx server be listening on inside the container?
- A. The port is not specified in the YAML.
- B. 0
- C. 0 22
- D. 1
- E. 2
Answer: D
Explanation:
The •containerPort• field in the YAML defines the port that the container's Nginx server will listen on. In this case, it's explicitly set to '80'
NEW QUESTION # 92
You're running a web application on Kubernetes that experiences occasional traffic spikes. Which of the following strategies is most suitable for managing costs during these spikes without compromising performance?
- A. Configure a resource quota for the web application's namespace to limit its resource usage.
- B. Use a horizontal pod autoscaler (HPA) with metrics based on CPU and memory utilization.
- C. Manually scale the deployment up during traffic spikes and down afterward.
- D. Utilize serverless functions to handle the peak traffic load, automatically scaling as needed.
- E. Implement a caching layer in front of the web application to reduce the load on the backend servers.
Answer: B,E
Explanation:
For web applications with unpredictable traffic patterns, dynamic scaling and load optimization are crucial for cost management. Horizontal Pod Autoscaler (HPA) with CPU and memory utilization metrics automatically scales the deployment up and down based on actual load, effectively managing resources during spikes. Implementing a caching layer reduces load on the backend servers, further reducing resource consumption and costs. Manually scaling is inefficient, and resource quotas don't address the dynamic nature of traffic spikes. While serverless functions offer scaling, they might not be suitable for all web application components.
NEW QUESTION # 93
You need to deploy a pod that requires access to a specific GPU device. How can you ensure that
the pod is scheduled on a node with the required GPU?
- A. Use the 'nodeSelector' field to target nodes with the 'gpu' label.
- B. Use the 'tolerations' field to tolerate the 'GPU' taint.
- C. Use the 'resources' field to specify the GPU requirements in the container's definition.
- D. Use the 'podAffinity' field to group pods with GPU requirements together.
- E. Use the 'affinity' field to prefer nodes with the 'GPU* label.
Answer: C
Explanation:
You can use both the •nodeselector• and •resources' fields to achieve this: 'nodeselector•: Targets nodes with a label indicating the presence of GPUs (e.g., •gpu: true). •resources': Specify the GPU resource requirements within the container's definition. This provides a more precise way to request specific GPUs and their capabilities. While •tolerations' and 'affinity' can be used for other scheduling needs, they are not directly designed for GPU resource allocation.
NEW QUESTION # 94
What is the purpose of the kube-proxy component in Kubernetes?
- A. Manages the Kubernetes API server and handles authentication and authorization requests.
- B. Enables communication between Pods and services within a Kubernetes cluster.
- C. Stores the configuration and state of the Kubernetes cluster
- D. Provides a secure and reliable connection between the Kubernetes control plane and nodes-
- E. Monitors and manages the health and status of Pods and other Kubernetes objects
Answer: B
Explanation:
kube-proxy acts as a network proxy that enables communication between Pods and services within a Kubernetes cluster. It handles service discovery, load balancing, and network rules for Pods.
NEW QUESTION # 95
You are setting up a CI/CD pipeline for deploying a microservices application to Kubernetes. You want to ensure that only specific developers can trigger deployments to production. Which of the following security best practices should be implemented?
- A. IJse a dedicated CI/CD server for production deployments and restrict access to the server.
- B. Implement multi-factor authentication for accessing the CIICD pipeline.
- C. Use role-based access control (RBAC) to restrict access to sensitive deployments based on user roles.
- D. Configure a Kubernetes admission controller to enforce specific deployment policies.
- E. Store the Kubernetes configuration files (Deployment, Service) in a private repository and limit access to authorized developers.
Answer: A,B,C,D
Explanation:
A combination of security practices is essential: RBAC ensures granular access control, private repositories protect deployment configurations, dedicated CI/CD servers with restricted access enhance security, multi-factor authentication adds another layer of protection, and admission controllers enforce policies during deployment.
NEW QUESTION # 96
......
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