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| Certification Vendor: | Red Hat |
|---|---|
| Exam Name: | Red Hat Certified Specialist in OpenShift Automation and Integration exam |
| Exam Number: | EX380 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Performance-based, Practical tasks, Hands-on lab |
| Passing Score: | Not disclosed |
| Exam Duration: | 240 minutes |
| Available Languages: | English |
| Exam Price: | $450 USD / โฌ450 EUR |
| Related Certifications: | Red Hat Certified Architect (RHCA) |
| Real Exam Qty: | Performance-based tasks, no fixed number |
| Recommended Training: | DO380 - Red Hat OpenShift Automation and Integration |
| Exam Registration: | Red Hat Certification Portal |
| Sample Questions: | RedHat EX380 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | Current Red Hat Certified Specialist in OpenShift Administration certification, or equivalent experience matching DO180 and DO280 course topics |
| Official Syllabus URL: | https://www.redhat.com/en/services/training/ex380-certified-specialist-openshift-automation-exam |
All of the traits above are available in this web-based Red Hat Certified Specialist in OpenShift Automation and Integration (EX380) practice test of BraindumpsPrep. The main distinction is that the Red Hat Certified Specialist in OpenShift Automation and Integration (EX380) online practice test works with not only Windows but also Mac, Linux, iOS, and Android. Above all, taking the Red Hat Certified Specialist in OpenShift Automation and Integration (EX380) web-based practice test while preparing for the examination does not need any software installation.
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NEW QUESTION # 39
Prevent workloads from running on dedicated nodes (taints)
Task Information : Apply a taint to dedicated nodes so only pods with tolerations can run there.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Taint nodes
* oc adm taint nodes worker-1 dedicated=payments:NoSchedule
* oc adm taint nodes worker-2 dedicated=payments:NoSchedule
* NoSchedule blocks new pods that do not tolerate the taint.
* Confirm taints
* oc describe node worker-1 | grep -i taints -A2
* Ensures taints are present.
* Validate effect
* A normal deployment without tolerations will remain Pending if it can only land on those tainted nodes.
NEW QUESTION # 40
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 # 41
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 # 42
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 # 43
Kubeconfig Management - Set Context in Kubeconfig
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
Step 1: Verify the cluster name, namespace, and user name that should be referenced.
The lab uses cluster api-ocp4-example-com:6443, namespace audit-ns, and user audit-sa.
Step 2: Run the command:
oc config set-context audit --cluster api-ocp4-example-com:6443 --namespace audit-ns --user audit-sa -- kubeconfig audit.config Step 3: Confirm context creation.
The lab output shows:
Context "audit" created.
Detailed explanation:
A kubeconfig context ties together three things: a cluster endpoint, a user identity, and optionally a default namespace. This Task creates a context named audit in the file audit.config. Contexts are useful because they simplify repeated administration by letting the user switch between prepared working environments instead of re-entering cluster and namespace details each time. The namespace portion is especially helpful for project- scoped operations, because commands run under that context default to the chosen namespace. Accuracy matters here: if the user name in the context does not match the credentials entry or the cluster name does not exist in the kubeconfig, the context will not function as intended.
NEW QUESTION # 44
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