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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storage | 10% | - Understand persistent volume claims primitive - Understand Storage Classes and Persistent Volumes - Understand how to configure applications with persistent storage - Understand volume mode, access modes and reclaim policies |
| Topic 2: Services & Networking | 20% | - Understand and use CoreDNS - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Understand connectivity between Pods - Use the Gateway API to manage Ingress traffic - Know how to use Ingress controllers and Ingress resources - Define and enforce Network Policies |
| Topic 3: Cluster Architecture, Installation & Configuration | 25% | - Manage role based access control (RBAC) - Create and manage Kubernetes clusters using kubeadm - Understand CRDs, install and configure operators - Understand extension interfaces (CNI, CSI, CRI, etc.) - Implement and configure a highly-available control plane - Prepare underlying infrastructure for installing a Kubernetes cluster - Use Helm and Kustomize to install cluster components - Manage the lifecycle of Kubernetes clusters |
| Topic 4: Workloads & Scheduling | 15% | - Understand how scheduler works - Understand resource limits and requests - Use label selectors to schedule Pods - Understand how to run multiple schedulers and configure scheduler policies - Understand DaemonSets - Understand Static Pods - Understand Deployments and rolling update/rollback - Use ConfigMaps and Secrets to configure applications |
| Topic 5: Troubleshooting | 30% | - Evaluate cluster and node logging - Understand how to monitor applications - Troubleshoot application failure - Manage container stdout & stderr logs - Troubleshoot networking - Troubleshoot cluster component failure |
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NEW QUESTION # 49
Check the Image version of nginx-dev pod using jsonpath
Answer:
Explanation:
See the solution below.
Explanation
kubect1 get po nginx-dev -o
jsonpath='{.spec.containers[].image}{"\n"}'
NEW QUESTION # 50
Perform the following tasks:
* Add an init container to hungry-bear (which has been defined in spec file /opt/KUCC00108/pod-spec- KUCC00108.yaml)
* The init container should create an empty file named/workdir/calm.txt
* If /workdir/calm.txt is not detected, the pod should exit
* Once the spec file has been updated with the init container definition, the pod should be created.
Answer:
Explanation:
NEW QUESTION # 51
Create a pod as follows:
Name: mongo
Using Image: mongo
In a new Kubernetes namespace named: my-website
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\9 B.JPG
NEW QUESTION # 52
You need to expose a service with multiple endpoints, each serving a specific path, using a single Ingress resource. Each endpoint is running on a different port, and you want to configure SSL termination for the entire Ingress. How would you achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Ingress Resource:
- Create an Ingress resource with the desired host and paths for each endpoint.
- Example:
- This configuration defines the host "example.com" and two paths: "/api" routed to "api-service" on port 8080 and "[blog" routed to "blog-service" on port 8081. 2. Create the TLS Secret: - Create a Secret containing your SSL certificate and private key for the domain "example.com". - Example:
- Replace " and with the actual content of your SSL certificate and private key. 3. Deploy the Services: - Ensure that the services "api-service" and "blog-service" are deployed and accessible on their respective ports (8080 and 8081 4. Apply the Ingress Configuration: - Apply the Ingress configuration using 'kubectl apply -f multiple-endpoints-ingress.yamP. 5. Verify the Ingress: - Access the Ingress using the defined host "example.com". - Check that requests to "/api" are routed to the "api-service" and requests to "[blog" are routed to the "blog- service", with SSL termination working as expected.
NEW QUESTION # 53
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 # 54
......
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