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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor and troubleshoot cluster | 15% | - Analyze logs and events - Monitor cluster health and metrics - Troubleshoot common issues |
| Topic 2: Implement and manage networking | 15% | - Troubleshoot network connectivity issues - Configure Ingress and Egress policies - Manage network policies |
| Topic 3: Manage OpenShift Container Platform through CLI and Web UI | 15% | - Navigate and operate through the web console - Use oc and kubectl commands for cluster management - Install and configure OpenShift cluster using CLI tools |
| Topic 4: Configure authentication and authorization | 15% | - Integrate with external identity providers - Configure RBAC (Role-Based Access Control) - Manage users and groups - Create and manage service accounts |
| Topic 5: Deploy and manage applications | 20% | - Use ConfigMaps and Secrets - Implement multi-container pods - Configure application scaling and replication - Create and manage deployments |
| Topic 6: Implement CI/CD pipelines | 10% | - Configure OpenShift pipelines ( Tekton ) - Integrate with external CI/CD tools - Automate application deployments |
| Topic 7: Manage storage for applications | 10% | - Create and use persistent volume claims - Manage storage classes - Configure persistent storage |
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NEW QUESTION # 10
GitOps and MachineConfig - Trigger Argo CD Synchronization by Repository Update
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Confirm that the repository being pushed to is the same repository watched by the GitOps/Argo CD application.
This linkage is essential because GitOps acts only on configured source repositories and paths.
Step 2: Commit the MachineConfig changes.
The lab uses:
git commit -am "Add MachineConfig for motd"
Step 3: Push the changes to the tracked branch.
The lab uses:
git push origin main
Step 4: Allow Argo CD to detect the repository change and begin synchronization.
In a standard GitOps model, the controller compares the Git repository to the cluster state and applies drift correction or new desired resources.
Detailed explanation:
This sub Task SIMULATION is the operational purpose behind the previous Git command Task SIMULATION . The point is not merely to store a file in Git; it is to update the declarative source that Argo CD uses to reconcile the cluster. Once the repository is updated, Argo CD detects the new commit and syncs the MachineConfig into the cluster according to its application definition. This demonstrates a core automation principle in OpenShift GitOps: administrators do not treat the cluster as the primary editable surface. Instead, they modify Git and let the automation layer enforce state. That provides traceability, peer review potential, rollback capability, and consistency across environments.
NEW QUESTION # 11
Service Accounts and RBAC - Create Audit Service Account
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Ensure the target project exists.
The lab specifies the namespace/project auth-audit.
Step 2: Run the command:
oc create sa audit -n auth-audit
Step 3: Verify creation.
The lab output shows:
serviceaccount/audit created
Detailed explanation:
This creates a service account named audit in the auth-audit namespace. Service accounts provide non-human identities for workloads and automation processes running inside the cluster. They are also commonly used when controlled API access is needed for scripts, jobs, or external kubeconfig generation. Creating a dedicated service account instead of using the default one is good practice because it supports least privilege and clearer access tracking. In exam and administration scenarios, service accounts are often paired with explicit RBAC bindings to grant only the permissions needed for the intended Task SIMULATION . This step lays the identity foundation before assigning a role in the following Task SIMULATION .
NEW QUESTION # 12
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 # 13
Schedule a recurring backup
Task Information : Create a daily backup schedule for namespace orders at 01:00.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Create the schedule
* velero schedule create orders-daily \
* --schedule "0 1 * * *" \
* --include-namespaces orders \
* --snapshot-volumes
* Cron format: minute hour day month weekday.
* Verify schedule exists
* velero schedule get
* Confirm backups are created by the schedule
* velero backup get | grep orders-daily
* Scheduled backups usually have names derived from the schedule.
NEW QUESTION # 14
Node Management - Remove Taint on Worker Node
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Log in to the OpenShift web console with an account that has sufficient cluster administrative privileges.
This Task is performed from the GUI, not the CLI. The lab hint explicitly places this under the worker node details page in the console.
Step 2: Navigate to Compute .
This area contains node-level resources, including control plane and worker nodes.
Step 3: Open Nodes .
Here you can view all nodes currently registered in the cluster.
Step 4: Select the required worker node .
Choose the exact worker node referenced by the lab Task SIMULATION .
Step 5: Open the Details tab.
The taint configuration is managed from the selected node's details view.
Step 6: Locate the Taints section and click Edit .
A taint is used to control pod scheduling. If a worker has a taint, pods without matching tolerations may not schedule there.
Step 7: Remove the unwanted taint entry.
Removing the taint makes the worker eligible again for normal scheduling behavior, depending on the rest of the cluster policy.
Step 8: Click Save .
This commits the change so the node is updated and the scheduler can evaluate it without that taint.
NEW QUESTION # 15
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