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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Use built-in CLI tools to monitor Kubernetes applications - Implement probes and health checks - Utilize container logs - Debugging in Kubernetes - Understand API deprecation policies |
| Topic 2: Application Deployment | 20% | - Use the Helm package manager to deploy existing packages - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Kustomize |
| Topic 3: Application Design and Build | 20% | - Define, build and modify container images - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) |
| Topic 4: Application Environment, Configuration and Security | 25% | - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) - Understanding and defining resource requirements, limits and quotas - Understand authentication, authorization and admission control - SecurityContexts - ConfigMaps and Secrets |
| Topic 5: Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies |
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NEW QUESTION # 21
You have a web application that uses two different services: 'frontend' and 'backend'. You want to restrict access to the 'backend' service from all pods except those with the label 'app: frontend'. How would you configure NetworkPolicy to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
- Replace with your actual namespace. 2. Apply the NetworkPolicy: - Run the following command to apply the NetworkPolicy: bash kubectl apply -f backend-networkpolicy.yaml - This NetworkPolicy defines a policy for pods with the label 'app: backend'. - The 'ingress' rule allows traffic only from pods with the label 'app: frontend'. - All other pods will be blocked from accessing the 'backend' service. This ensures that only the frontend' service can communicate with the 'backend' service. ,
NEW QUESTION # 22
You have a Deployment for a stateless application that involves several containers. You want to expose this application as a single service using a Service resource- You also want to configure the Service to use a specific label selector to target the correct pods and to ensure that the Service uses a round-robin load balancing strategy for distributing traffic across the pods. Explain how you can create the Service resource and configure it to acnjeve this.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service:
- Create a Service resource that defines how the pods of your application will be accessed externallv
- Specify a unique name for the Service and define the port mapping-
- Example:
2. Set Selector: - Use the 'selector field to specify the label that the Service should use to identify the pods it should target - Ensure that the pods of your Deployment are labeled with the specified 'app: myapp' label. 3. Configure Load Balancing: - The default load balancing strategy for Kubernetes Services is round-robin, which distributes traffic evenly across the available pods. - No additional configuration is needed for this strategyc 4. Deploy and Test: - Apply the Service YAML file. - Test the Service by accessing it from outside the cluster. - Ensure that the traffic is distributed evenly across the pods using the round-robin strategy. 5. Optional: External Access: - If you want to expose the Service to the internet, you can set the Service 'type' to 'Load8alancer'. This will create a LoadBalancer resource (often an external IP address) that routes traffic to the Service.
NEW QUESTION # 23
Refer to Exhibit.
Context
Developers occasionally need to submit pods that run periodically.
Task
Follow the steps below to create a pod that will start at a predetermined time and]which runs to completion only once each time it is started:
* Create a YAML formatted Kubernetes manifest /opt/KDPD00301/periodic.yaml that runs the following shell command: date in a single busybox container. The command should run every minute and must complete within 22 seconds or be terminated oy Kubernetes. The Cronjob namp and container name should both be hello
* Create the resource in the above manifest and verify that the job executes successfully at least once
Answer:
Explanation:
Solution:


NEW QUESTION # 24
You need to implement a strategy to manage and control the access of pods to specific resources in your Kubernetes cluster. Explain how you would use PodSecurityPolicies to enforce fine-grained access control.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a PodSecurityPolicy:
- Create a new YAML file (e.g., 'pod-security-policy.yaml') to define your PodSecurityPolicy.
- Specify the name of the PodSecurityPolicy and the namespace where it will be applied.
- Define the security policies for the PodSecurityPolicy. You can use the 'kubectl create -f pod-security- policy.yamP command to apply the PodSecurityPolicy.
3. Apply the PodSecurityPolicy to Deployments: - Update the 'podSecurityContext' field in your Deployment YAML to specify the PodSecurityPolicy.
4. Verify the PodSecurityPolicy: - Use the 'kubectl get podsecuritypolicy' command to list the applied PodSecurityPolicies and confirm their status. 5. Test the Restrictions: - Try to create pods that violate the rules defined in the PodSecurityPolicy. - Verify that the PodSecurityPolicy is effectively preventing the creation of pods that do not meet the defined security policies.,
NEW QUESTION # 25
You have a Kubernetes cluster running a microservices application. The application nas a set of microservices deployed as Deployments, each with their own set of resource requests and limits- You want to implement a monitoring system to track the resource utilization of these microservices.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install Prometheus: Prometheus is an open-source monitoring system that collects and stores metrics. You can install Prometheus in your Kubernetes cluster using a Deployment:
2 Create a ConfigMap for Prometheus: Define a ConfigMap to configure Prometheus with the desired scrape targets and other settings:
3. Create a Service for Prometheus: Create a Service to expose Prometheus outside the cluster:
4. Install Grafana: Grafana is a popular open-source dashboard and visualization tool. You can install Grafana in your Kubernetes cluster using a Deployment:
5. Create a ConfigMap for Grafana: Create a ConfigMap to configure Grafana with Prometheus as the data source:
6. Create a Service for Grafana: Create a Service to expose Grafana outside the cluster:
T Configure Gratana: Access the Grafana web interface (using the LoadBalancer IP address) and configure a new data source for Prometheus. Specify the Prometheus Service address. 8. Create Dashboards: Create dashboards in Gratana to visualize the metrics collected by Prometheus. You can create dashboards for individual microservices, showing metrics like CPU usage, memory usage, network traffic, and response times. 9. Monitor Your Microservices: Once you have dashboards set up, you can monitor your microservices' resource utilization and performance in real time. use Grafana's alerting features to be notified of any issues or potential problems. ,
NEW QUESTION # 26
......
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