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RedHat Red Hat Certified Specialist in OpenShift Automation and Integration Sample Questions (Q18-Q23):
NEW QUESTION # 18
Dedicate nodes to a workload using labels and nodeSelector
Task Information : Label two nodes with workload=payments and schedule a deployment only onto those nodes.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Label the chosen worker nodes
* oc label node worker-1 workload=payments
* oc label node worker-2 workload=payments
* Node labels are key/value metadata used by the scheduler.
* Add a nodeSelector to the deployment
* oc -n payments patch deploy api --type=merge -p '{
* "spec":{"template":{"spec":{"nodeSelector":{"workload":"payments"}}}}
* }'
* Forces pods to schedule only to nodes that match the label.
* Verify placement
* oc -n payments get pods -o wide
* Confirms pods are running on the intended nodes.
NEW QUESTION # 19
Deploy Event Router and capture Kubernetes events in logging
Task Information : Deploy an event router so Kubernetes events are recorded as logs, then trigger events and confirm they appear in logging queries.
Answer:
Explanation:
See the solution below in Explanation:
* Deploy event router resources
* Apply a deployment/serviceaccount/rolebinding manifest for eventrouter:
* oc apply -f eventrouter.yaml -n openshift-logging
* Eventrouter watches event API and writes them to stdout (collected by logging).
* Verify eventrouter pod is running
* oc -n openshift-logging get pods | grep -i event
* Trigger some events
* oc -n default run evtest --image=busybox --restart=Never -- sleep 1
* oc -n default delete pod evtest
* Creation/deletion generates events.
* Query logs for events
* In the logging UI/backend, search for the namespace/pod name evtest or eventrouter messages.
* Explanation: Validates that events are being converted to searchable logs.
NEW QUESTION # 20
Spread replicas using podAntiAffinity
Task Information : Configure payments/api to prefer scheduling pods on different nodes.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Patch deployment with preferred podAntiAffinity
* oc -n payments patch deploy api --type=merge -p '{
* "spec":{"template":{"spec":{"affinity":{
* "podAntiAffinity":{
* "preferredDuringSchedulingIgnoredDuringExecution":[{
* "weight":100,
* "podAffinityTerm":{
* "labelSelector":{"matchLabels":{"app":"api"}},
* "topologyKey":"kubernetes.io/hostname"
* }
* }]
* }
* }}}}
* }'
* Encourages spread across nodes to reduce single-node impact.
* Verify spread
* oc -n payments get pods -o wide
NEW QUESTION # 21
GitOps and MachineConfig - Push MachineConfig to Git
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Make sure the MachineConfig YAML has already been created or modified in the local Git repository.
This Task assumes the file change is ready to be committed.
Step 2: Run the command:
git commit -am "Add MachineConfig for motd" & & git push origin main
Step 3: Verify the commit succeeds and the push goes to the main branch.
The lab output shows:
[main 8d32a1] Add MachineConfig for motd
Detailed explanation:
This Task is part of a GitOps workflow. Instead of manually applying changes directly to the cluster, the desired configuration is stored in Git, and a GitOps controller such as Argo CD synchronizes the cluster to match the repository state. The command commits all tracked modified files with the message Add MachineConfig for motd and then pushes the change to the main branch. In this model, Git becomes the source of truth. A MachineConfig is typically used to manage node-level operating system configuration in OpenShift, so pushing it through GitOps ensures the change is auditable, repeatable, and reconciled declaratively. If the commit does not include the intended YAML, the synchronization mechanism will not apply the desired change.
NEW QUESTION # 22
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 # 23
......
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