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| Certification Vendor: | Red Hat |
|---|---|
| Exam Name: | Red Hat Certified Specialist in OpenShift Automation and Integration exam |
| Exam Number: | EX380 |
| Exam Format: | Performance-based, Hands-on lab, Practical tasks |
| Real Exam Qty: | Performance-based tasks, no fixed number |
| Exam Price: | $450 USD / โฌ450 EUR |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 240 minutes |
| Passing Score: | Not disclosed |
| Available Languages: | English |
| Related Certifications: | Red Hat Certified Architect (RHCA) |
| 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 |
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NEW QUESTION # 30
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 # 31
Configure BackupStorageLocation and VolumeSnapshotLocation
Task Information : Configure OADP/Velero storage locations and confirm they show as Available.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Create a secret for cloud credentials (S3-compatible example)
* oc -n openshift-adp create secret generic cloud-credentials \
* --from-file=cloud=/path/to/credentials
* Velero uses this secret to authenticate to object storage.
* Create/Update the DataProtectionApplication (DPA)
* Apply a DPA CR that defines:
* backupLocations (bucket, endpoint URL, region, etc.)
* snapshotLocations (if using snapshots)
* Verify BackupStorageLocation and SnapshotLocation
* velero backup-location get
* velero snapshot-location get
* Status should be Available, meaning storage config is valid.
==========
NEW QUESTION # 32
Restore application into same namespace
Task Information : Restore from backup orders-full and validate the app resources return.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Start the restore
* velero restore create orders-restore --from-backup orders-full
* Monitor restore status
* velero restore get
* velero restore describe orders-restore --details
* Validate restored resources
* oc -n orders get all
* oc -n orders get pvc
* Ensure deployments/pods/services and PVCs exist and pods become Running.
NEW QUESTION # 33
Configure project-wide default tolerations
Task Information : Configure the payments namespace so new pods automatically include a default toleration.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Annotate the namespace with default tolerations
* oc annotate ns payments \
* scheduler.alpha.kubernetes.io/defaultTolerations='[{"key":"dedicated","operator":"Equal","value":" payments","effect":"NoSchedule"}]' \
* --overwrite
* Some clusters honor this pattern; if not, the fallback is mutating admission or editing workloads.
* Create a new pod/deployment in the namespace
* Then verify its spec includes tolerations:
* oc -n payments get pod < pod > -o yaml | grep -n tolerations -A5
NEW QUESTION # 34
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 # 35
......
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