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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting | 30% | - Understand how to monitor applications - Manage container stdout & stderr logs - Evaluate cluster and node logging - Troubleshoot networking - Troubleshoot cluster component failure - Troubleshoot application failure |
| Topic 2: Workloads & Scheduling | 15% | - Use label selectors to schedule Pods - Understand how scheduler works - Understand DaemonSets - Understand resource limits and requests - Understand Deployments and rolling update/rollback - Understand Static Pods - Use ConfigMaps and Secrets to configure applications - Understand how to run multiple schedulers and configure scheduler policies |
| Topic 3: Storage | 10% | - Understand volume mode, access modes and reclaim policies - Understand Storage Classes and Persistent Volumes - Understand persistent volume claims primitive - Understand how to configure applications with persistent storage |
| Topic 4: Services & Networking | 20% | - Know how to use Ingress controllers and Ingress resources - Use the Gateway API to manage Ingress traffic - Understand connectivity between Pods - Define and enforce Network Policies - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Understand and use CoreDNS |
| Topic 5: Cluster Architecture, Installation & Configuration | 25% | - Understand extension interfaces (CNI, CSI, CRI, etc.) - Implement and configure a highly-available control plane - Prepare underlying infrastructure for installing a Kubernetes cluster - Create and manage Kubernetes clusters using kubeadm - Understand CRDs, install and configure operators - Manage role based access control (RBAC) - Use Helm and Kustomize to install cluster components - Manage the lifecycle of Kubernetes clusters |
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NEW QUESTION # 64
Create a deployment spec file thatwill:
* Launch 7 replicas of thenginxImage with the labelapp_runtime_stage=dev
* deployment name:kual00201
Save a copy of this spec file to/opt/KUAL00201/spec_deployment.yaml
(or/opt/KUAL00201/spec_deployment.json).
When you are done, clean up (delete)any new Kubernetes API object thatyou produced during this task.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 65
You are working with a team on a Kubernetes project. You need to ensure that your team cann securely access the Kubernetes cluster and manage resources without compromising security. Describe the different types of access control mechanisms available in Kubernetes and provide an example of how to implement Role-Based Access Control (RBAC) using a ServiceAccount.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Kubernetes Access Control Mechanisms:
- RBAC (Role-Based Access Control): This is the most common and recommended mechanism for managing access in Kubernetes. It involves defining roles and assigning them to users or service accounts.
- ABAC (Attribute-Based Access Control): This allows you to control access based on attributes like pod labels, namespaces, or resource types.
- Network Policies: These define network-level access control rules for communication within the cluster.
2. Implementing RBAC with a ServiceAccount:
- Create a ServiceAccount:
- Apply this YAML file to create the ServiceAccount. - Create a Role:
- Apply this YAML file to create a Role that grants access to deployments. - Bind the Role to the ServiceAccount:
- Apply this YAML file to bind the Role to the ServiceAccount. - Verify RBAC Configuration: - Use 'kubectl auth can-i -list --as=my-service-account --namespace=default' to check the permissions granted to the ServiceAccount.
NEW QUESTION # 66
Your team has deployed a containerized application on Kubernetes. You have configured a deployment with a replica count of 3 pods. The application uses a resource-intensive process that consumes a significant amount of CPU resources. You are experiencing performance issues and suspect that the pods are competing for resources. Explain how you can use resource quotas and limits to address this problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Limits for Pods:
- Modify the deployment configuration to set resource limits for each pod, specifying the maximum CPU and memory resources they can consume. This prevents pods from exceeding their resource allocations, ensuring fairer resource distribution.
2. Implement Resource Quotas at the Namespace Level: - Define resource quotas for the namespace where your application is running. This limits the overall resource consumption within the namespace, preventing any single pod from monopolizing resources.
3. Monitor Resource Usage and Adjust Limits: - Continuously monitor the resource usage of your pods and the namespace. Analyze the CPU and memory utilization to identify any resource contention. - Adjust resource limits and quotas as needed to fine-tune the resource allocation and improve performance.
NEW QUESTION # 67
Score: 4%
Task
Create a persistent volume with name app-data , of capacity 1Gi and access mode ReadOnlyMany. The type of volume is hostPath and its location is /srv/app-data .
Answer:
Explanation:
Solution:
#vi pv.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: app-config
spec:
capacity:
storage: 1Gi
accessModes:
- ReadOnlyMany
hostPath:
path: /srv/app-config
#
kubectl create -f pv.yaml
NEW QUESTION # 68
List "nginx-dev" and "nginx-prod" pod and delete those pods
Answer:
Explanation:
See the solution below.
Explanation
kubect1 get pods -o wide
kubectl delete po "nginx-dev"kubectl delete po "nginx-prod"
NEW QUESTION # 69
......
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