EX280 Red Hat Certified OpenShift Administrator exam Free Dumps

After passing EX280 Red Hat Certified OpenShift Administrator exam, you can become a Red Hat Certified OpenShift Administrator. EX280 exam is a performance-based evaluation of skills and knowledge required to configure and manage a cloud application platform. Performance-based testing means that candidates must perform tasks similar to what they perform on the job. We provide the latest Red Hat EX280 exam dumps, which can ensure you pass the test easily. Free Red Hat Certified OpenShift Administrator EX280 exam dumps are available below.

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1. You are tasked with deploying a highly available application in OpenShift. Create a Deployment using YAML to deploy the nginx container with three replicas, ensuring that it runs successfully. Verify that the Deployment is active, all replicas are running, and the application can serve requests properly. Provide a complete walkthrough of the process, including necessary commands to check deployment status.

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2. Your team requires an application to load specific configuration data dynamically during runtime. Create a ConfigMap to hold key-value pairs for application settings, and update an existing Deployment to use this ConfigMap. Provide a complete YAML definition for both the ConfigMap and the updated Deployment, and demonstrate how to validate that the configuration is applied correctly.

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3. Your cluster requires an application to be exposed to external users. Use the OpenShift CLI to expose an application running on the nginx Deployment as a service, making it accessible via NodePort. Provide step-by-step instructions, including testing the accessibility of the service from the host machine.

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4. Your organization needs a shared storage solution for an application running on OpenShift. Configure a PersistentVolume (PV) and a PersistentVolumeClaim (PVC), and update an existing Deployment to use this storage. Include a demonstration of how to validate that the storage is mounted correctly in the application pods.

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5. Configure a Role-based Access Control (RBAC) setup to allow a user named dev-user to list all pods in the test-project namespace. Provide YAML definitions for the Role and RoleBinding, and demonstrate how to verify the permissions.

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6. Troubleshoot a pod stuck in the CrashLoopBackOff state. Investigate and resolve an issue where the application fails due to a missing environment variable. Provide commands to identify the problem and fix it.

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7. Use the OpenShift CLI to back up the resource configuration of the test-project namespace into a single file. Provide commands to export and restore these resources.

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8. Deploy an application using a Helm chart. Use the nginx chart from the stable repository and provide instructions to customize the deployment.

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9. Set up OpenShift monitoring to send email alerts when CPU usage exceeds 80% for any node. Include steps to configure an alert in Prometheus.

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10. Inspect all events in the cluster and filter for warnings related to pods. Provide commands to gather and analyze the data.

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11. View logs from all containers in a multi-container pod. Provide the command and describe how to analyze the logs for issues.

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12. Deploy an application that uses a Secret to store database credentials. Create the Secret and demonstrate how to inject it into the application.

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13. Manually schedule a pod on a specific node in the cluster by using a nodeSelector. Create a pod definition YAML and demonstrate how to verify that the pod is running on the desired node.

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14. Perform a rolling update of an application to upgrade the nginx image from 1.19 to 1.21. Ensure zero downtime during the update and verify that all replicas are running the new version.

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15. Use a Horizontal Pod Autoscaler (HPA) to scale the nginx Deployment based on CPU utilization. Create an HPA YAML definition, apply it, and simulate a CPU load to verify the scaling behavior.

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16. Back up etcd data from the OpenShift cluster control plane and explain how to restore it in case of a

failure.

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17. Troubleshoot a persistent volume claim (PVC) stuck in Pending state. Identify and resolve common issues such as storage class misconfiguration or unavailable PVs.

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18. Audit all changes made to the resources in a namespace over the past day. Enable audit logging and provide commands to analyze logs for specific events.

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19. Configure OpenShift logging to send application logs to an external Elasticsearch cluster. Include steps for Fluentd configuration and validation.

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20. Use OpenShift product documentation to identify the steps for upgrading the cluster from version X to version Y. Demonstrate how to validate that the upgrade completed successfully.

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21. Deploy an application across multiple namespaces using a common Deployment YAML file. Include steps to create the namespaces, apply the deployment, and verify that the pods are running in each namespace.

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22. Simulate and troubleshoot a pod network issue where a pod cannot communicate with a service in the same namespace. Provide steps to identify and resolve the problem.

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23. Implement a pod disruption budget (PDB) to ensure that at least one pod of a deployment is always running during maintenance events. Create a YAML file for the PDB and apply it to a deployment.

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24. Create a custom OpenShift project with resource quotas to limit CPU and memory usage for all pods.

Include YAML definitions for the project and quota.

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25. Configure a readiness probe for an application to ensure that traffic is sent only to pods that are fully ready. Include steps to create the probe in the Deployment YAML and test its functionality.

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26. Use OpenShift logs to troubleshoot a service that intermittently fails to serve requests. Analyze both pod and service logs to determine the root cause.

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27. Restore a previously backed-up namespace configuration into a newly created namespace. Include commands to rename the namespace in the backup file before applying it.

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28. Perform a rolling restart of all pods in a deployment to update configurations without downtime. Provide commands and verify that the restart was successful.

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29. Configure and validate a cluster-wide limit range to enforce CPU and memory limits for all newly created pods. Include the YAML definition and demonstrate how to test the limit enforcement.

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30. Set up OpenShift to log all administrative actions performed by a specific user. Demonstrate how to analyze the logs for compliance purposes.

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31. Configure an Ingress resource to expose an application using a custom domain name. Include steps to create the Ingress YAML and validate that the domain resolves to the application.

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32. Troubleshoot and fix an issue where a pod fails to start due to insufficient resources. Identify the problem and reconfigure the deployment to ensure proper resource allocation.

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33. Perform a node cordon and drain operation to safely remove all pods from a node for maintenance.

Include steps to validate that no workloads are running on the node after draining.

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34. Configure and use a Kubernetes Job to run a batch process that executes a simple script. Include steps to define the Job YAML and verify its completion.

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35. Configure OpenShift metrics monitoring to display custom metrics for a specific application. Include steps to expose metrics using a Prometheus exporter and validate their availability.

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36. Debug a pod that remains in the ContainerCreating state due to missing images. Resolve the issue and ensure the pod is running.

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37. Set up a ClusterRole and ClusterRoleBinding to allow a user named admin-user to view all resources across all namespaces. Provide YAML definitions and validation steps.

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38. Use OpenShift CLI to enable and configure monitoring alerts for persistent volume usage exceeding 80%. Provide steps to test the alert functionality.

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39. Migrate an application from one namespace to another without downtime. Include commands to copy configurations, secrets, and deployments.

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40. Configure OpenShift autoscaling policies to handle a sudden traffic spike on an application. Simulate the spike and validate the scaling.

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41. Configure a StatefulSet to deploy a MySQL database with persistent storage. Include steps to define the StatefulSet, create a PersistentVolume (PV) and PersistentVolumeClaim (PVC), and verify the database is running correctly.

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42. Use OpenShift CLI to configure and test a Service Account with limited permissions. Create a Role for accessing ConfigMaps, bind it to the Service Account, and validate the access.

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43. Migrate all pods from one node to another to free up the first node for maintenance. Ensure minimal disruption during the process and validate the migration.

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44. Configure OpenShift to automatically clean up completed Jobs after a specific time. Include steps to modify the TTL for finished Jobs and verify its functionality.

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45. Use taints and tolerations to ensure that specific pods are scheduled only on designated nodes. Include YAML definitions for both the node taint and pod tolerations.

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46. Set up and test horizontal autoscaling for an application based on custom metrics such as memory usage. Include YAML definitions and steps to simulate load.

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47. Configure and validate OpenShift cluster monitoring using Grafana dashboards. Include steps to deploy Grafana and connect it to Prometheus.

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48. Configure OpenShift to perform a rolling restart of all pods in a deployment every time the associated ConfigMap changes. Include steps to modify the deployment to achieve this functionality and validate it.

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49. Secure OpenShift by enforcing the use of Secrets for storing sensitive data, such as database credentials. Create a Secret, mount it in a pod, and validate its functionality.

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50. Use OpenShift to deploy a blue-green application update strategy to minimize downtime during a version upgrade. Include steps to configure and validate the deployment.

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51. Create a CronJob to run a cleanup script daily at midnight. Validate that the script executes successfully.

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52. Configure OpenShift to restrict resource usage using ResourceQuotas. Define quotas for CPU, memory, and the number of pods in a namespace.

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53. Troubleshoot an issue where pods are not starting due to missing NodePorts in a Service configuration.

Fix the Service and validate pod communication.

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54. Use OpenShift CLI to monitor cluster health and identify nodes under pressure. Provide steps to analyze and resolve any resource contention issues.

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55. Configure OpenShift to send alerts for failed Jobs using Prometheus AlertManager. Include steps to define alert rules and test the alert mechanism.

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56. Configure OpenShift to restrict ingress traffic to a specific namespace using Network Policies. Include steps to create a policy that allows traffic only from a specific pod in another namespace.

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57. Perform a cluster-wide search for all pods using images older than a specific version and update them.

Provide commands to identify and upgrade the images.

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58. Troubleshoot and resolve an issue where a pod is in Pending state due to insufficient CPU or memory resources. Include steps to identify and reallocate resources.

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59. Configure an OpenShift Service to route traffic to multiple backends based on the request path. Include steps to create the Service and validate traffic routing.

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60. Implement a canary deployment for an application update. Include steps to deploy and monitor the canary version alongside the stable version.

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61. Implement a ClusterRole to allow developers to create and delete pods in a specific namespace. Bind this role to a group named dev-group.

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62. Diagnose and fix an issue where a Deployment fails due to exceeding the configured ResourceQuota.

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63. Use OpenShift metrics to analyze and optimize application performance under load. Include steps to simulate load and monitor metrics through Prometheus.

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64. Use OpenShift to configure an external load balancer to expose a service to the internet. Provide steps to create a LoadBalancer service and validate its accessibility.

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65. Simulate and fix a crash-loop issue in a pod caused by incorrect environment variables. Provide steps to identify the issue and apply a fix.

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66. Create a multi-container pod that includes a primary application and a sidecar container for logging.

Demonstrate how to configure and validate the logging setup.

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67. Configure and test OpenShift persistent storage using a dynamic storage class. Include steps to create and use the storage class with a PVC.

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68. Troubleshoot a Deployment rollout stuck due to a failing readiness probe. Resolve the issue and ensure the rollout completes successfully.

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69. Use OpenShift monitoring to set up alerts for node disk usage exceeding 90%. Include steps to configure Prometheus rules and validate alert functionality.

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70. Implement an OpenShift Job to process a file uploaded to a shared volume. Validate that the Job processes the file and terminates successfully.

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71. Configure OpenShift to enforce image pull policies that always pull the latest image version when creating or restarting a pod. Validate the configuration by deploying a pod.

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72. Perform a rollback to a previous Deployment revision after identifying issues in the latest deployment.

Validate that the rollback is successful.

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73. Use OpenShift CLI to scale a StatefulSet horizontally. Verify that each pod maintains its unique identity after scaling.

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74. Troubleshoot and resolve an issue where an ingress rule is not directing traffic to the correct backend service. Include validation steps after fixing the issue.

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75. Create and test a Kubernetes ConfigMap to store application settings, and inject it into an application pod as a file.

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76. Monitor and analyze application performance under high traffic using OpenShift metrics and Grafana dashboards. Include steps to set up traffic simulation and analyze results.

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77. Implement OpenShift Autoscaler to scale pods dynamically based on CPU usage. Validate scaling behavior under simulated CPU load.

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78. Migrate all resources from one namespace to another. Include steps to export, modify, and reapply the configurations.

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79. Set up and validate OpenShift pod affinity to ensure that pods are scheduled on the same node.

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80. Configure OpenShift taints and tolerations to reserve a node for specific pods. Validate that only the designated pods are scheduled on the reserved node.

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81. Deploy an application using a provided resource manifest file. Validate that the application is running successfully.

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82. Use Kustomize overlays to modify a base application deployment by adding a new label. Validate the changes.

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83. Deploy an application using a Helm chart and customize the number of replicas.

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84. Deploy a one-time Job to print a message. Validate its completion.

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85. Scale an application deployment horizontally to handle increased load.

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86. Label a pod and use a selector to list all pods with a specific label.

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87. Expose a non-HTTP application to external access using a NodePort service.

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88. Deploy an application with MetalLB to provide a LoadBalancer service.

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89. Use Multus to assign multiple network interfaces to a pod.

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90. Deploy a replica set for a stateless application and validate its functionality.

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91. Deploy an application using an OpenShift template that includes a DeploymentConfig, Service, and Route. Validate that the application is accessible via the Route.

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92. Update an existing Deployment to add a readiness probe. Validate that the readiness probe works correctly.

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93. Deploy a StatefulSet with persistent storage to run a MySQL database. Validate that data persists after pod restarts.

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94. Expose an application with a ClusterIP service and access it using a pod within the cluster.

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95. Create a Job that retries on failure with a backoff policy. Validate that retries occur as expected.

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96. Label multiple pods and list them using label selectors.

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97. Use Helm to upgrade an application while preserving its existing configuration.

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98. Deploy an Operator to automate the deployment of a Redis database. Validate that the database is running.

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99. Implement a Headless Service for a StatefulSet and validate that DNS resolves to individual pod IPs.

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100. Deploy an application using a Kubernetes CronJob that runs every 5 minutes. Validate its execution.

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101. Deploy a DaemonSet to ensure every node runs a monitoring agent. Validate that a pod is created on each node.

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102. Deploy a Kubernetes Service to expose an application on a specific port, and use kubectl port-forward to access it locally.

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103. Implement a Horizontal Pod Autoscaler (HPA) to scale an application based on CPU usage. Validate scaling by simulating CPU load.

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104. Deploy a multi-container pod where one container runs the main application, and the other container logs application data to an external service. Validate the sidecar functionality.

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105. Deploy a ConfigMap and inject its data as environment variables into a pod. Validate that the pod uses the environment variables.

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106. Deploy an application using Kustomize with environment-specific overlays for dev and prod. Validate the deployment.

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107. Deploy an application with a readiness probe and validate its behavior during rollout.

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