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| Section | Weight | Objectives |
|---|---|---|
| Manage storage for applications | 10% | - Configure persistent storage - Manage storage classes - Create and use persistent volume claims |
| Implement CI/CD pipelines | 10% | - Configure OpenShift pipelines ( Tekton ) - Automate application deployments - Integrate with external CI/CD tools |
| Monitor and troubleshoot cluster | 15% | - Monitor cluster health and metrics - Analyze logs and events - Troubleshoot common issues |
| Implement and manage networking | 15% | - Manage network policies - Troubleshoot network connectivity issues - Configure Ingress and Egress policies |
| Deploy and manage applications | 20% | - Implement multi-container pods - Create and manage deployments - Use ConfigMaps and Secrets - Configure application scaling and replication |
| Configure authentication and authorization | 15% | - Integrate with external identity providers - Configure RBAC (Role-Based Access Control) - Create and manage service accounts - Manage users and groups |
| Manage OpenShift Container Platform through CLI and Web UI | 15% | - Use oc and kubectl commands for cluster management - Navigate and operate through the web console - Install and configure OpenShift cluster using CLI tools |
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NEW QUESTION # 18
Recover a NotReady worker node (basic remediation workflow)
Task Information : Diagnose a NotReady worker node and restore it to Ready state using standard OpenShift admin workflow.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Identify failing node and status
* oc get nodes
* Confirms which node is NotReady.
* Inspect node conditions and events
* oc describe node < worker >
* Shows kubelet condition issues (network, disk pressure, runtime, etc.).
* Check MachineConfigPool state
* oc get mcp
* oc describe mcp worker
* If MCP is degraded, node may be stuck applying a config.
* Check node logs (kubelet)
* oc adm node-logs < worker > --path=kubelet.log
* Often reveals why node isn't reporting Ready.
* Remediate based on symptom
* Examples:
* If out of disk: free space, then verify kubelet recovers.
* If stuck MCO: investigate current/desired config and fix broken MachineConfig.
* If node cordoned/drained incorrectly: uncordon after remediation.
* oc adm uncordon < worker >
* Confirm node returns Ready
* oc get node < worker >
NEW QUESTION # 19
Add tolerations to a deployment
Task Information : Update payments/api deployment to tolerate dedicated=payments:NoSchedule.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Patch deployment with toleration
* oc -n payments patch deploy api --type=merge -p '{
* "spec":{"template":{"spec":{"tolerations":[
* {"key":"dedicated","operator":"Equal","value":"payments","effect":"NoSchedule"}
* ]}}}
* }'
* Toleration allows pods to schedule onto tainted nodes.
* Verify scheduling
* oc -n payments get pods -o wide
NEW QUESTION # 20
Logging Configuration - Configure ClusterLogging in Web Console
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Log in to the OpenShift web console.
This Task is explicitly defined as a GUI workflow.
Step 2: Navigate to Operators .
Installed logging components are managed through the operator framework.
Step 3: Open Installed Operators .
This lists operators already deployed in the cluster.
Step 4: Select Red Hat OpenShift Logging .
This operator manages the cluster logging stack and its custom resources.
Step 5: Open the ClusterLogging instance.
The Task SIMULATION refers to editing the existing ClusterLogging custom resource.
Step 6: Switch to YAML View .
This allows direct editing of the logging custom resource specification.
Step 7: Edit the collection type and set it to vector.
This changes the log collector implementation.
Step 8: Click Save .
The operator will reconcile the resource and apply the updated collector configuration.
Detailed explanation:
The ClusterLogging custom resource controls the logging stack behavior in OpenShift. Changing the collection type to vector updates which collector technology is used for gathering node and container logs. In operator-managed platforms, direct YAML edits to the custom resource are the preferred method for changing managed behavior because the operator then applies and maintains the desired state. This Task tests both navigation skills in the web console and knowledge of where logging behavior is configured. Saving the resource triggers reconciliation, which is a core OpenShift operator pattern: the declared configuration is read and enforced by the operator rather than by manual per-pod changes.
NEW QUESTION # 21
Identity Management - Create HTPasswd Secret
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Open a terminal with oc access to the cluster.
This Task is CLI-driven and targets the openshift-config namespace.
Step 2: Run the command:
oc create secret generic rhds-ldap-secret --from-literal bindPassword=redhatocp -n openshift-config Step 3: Verify that the secret is created successfully.
The lab output shows:
secret/rhds-ldap-secret created
Detailed explanation:
This step creates a generic secret named rhds-ldap-secret in the openshift-config namespace. The secret stores a key called bindPassword with the value redhatocp. In an identity-provider or LDAP integration workflow, the bind password is used by OpenShift when connecting to the external directory service. Storing this value in a secret is the correct operational pattern because authentication material should not be embedded directly into configuration objects. The openshift-config namespace is specifically important because cluster authentication configuration commonly references secrets and configmaps from that namespace. If the secret name or key is wrong, the authentication configuration that depends on it may fail to validate or connect properly.
NEW QUESTION # 22
Maintain group synchronization on a schedule (CronJob)
Task Information : Create a CronJob that runs LDAP group sync on a schedule using a service account that has the required permissions.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Create a namespace for the sync job
* oc new-project id-sync
* Keeps the automation components organized.
* Create a service account for the sync job
* oc -n id-sync create sa group-sync
* CronJob runs under this SA identity.
* Grant cluster permissions to manage groups
* oc adm policy add-cluster-role-to-user cluster-admin system:serviceaccount:id-sync:group-sync
* In real environments you should scope down, but lab Task SIMULATIONs often accept cluster- admin for speed.
* Create a ConfigMap for groupsync.yaml and Secret(s) for bind password/CA
* Mount them into the job container.
* Create CronJob to run group sync
* Command inside job:
* oc adm groups sync --sync-config=/config/groupsync.yaml --confirm
* The CronJob ensures periodic reconciliation with LDAP.
* Verify job runs
* oc -n id-sync get cronjob
* oc -n id-sync get jobs
* oc -n id-sync logs job/ < job-name >
NEW QUESTION # 23
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