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| Certification Vendor: | Red Hat |
|---|---|
| Exam Name: | Red Hat Certified Specialist in OpenShift Automation and Integration exam |
| Exam Number: | EX380 |
| Real Exam Qty: | Performance-based tasks, no fixed number |
| Exam Price: | $450 USD / €450 EUR |
| Related Certifications: | Red Hat Certified Architect (RHCA) |
| Passing Score: | Not disclosed |
| Exam Format: | Practical tasks, Hands-on lab, Performance-based |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 240 minutes |
| 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 # 24
Integrate OpenShift with LDAP (create LDAP identity provider)
Task Information : Configure cluster OAuth to add an LDAP identity provider using an existing bind secret and CA ConfigMap , then verify login works.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Verify prerequisites exist (Secret + ConfigMap)
* oc -n openshift-config get secret rhds-ldap-secret
* oc -n openshift-config get configmap rhds-ca-config-map
* OAuth LDAP configuration references these objects. If they don't exist, OAuth won't be able to bind to LDAP securely.
* Edit the cluster OAuth resource
* oc edit oauth cluster
* The oauth/cluster resource is where identity providers are defined.
* Add an LDAP identity provider entry (example structure) Add under spec.identityProviders:
* - name: corp-ldap
* mappingMethod: claim
* type: LDAP
* ldap:
* url: "ldaps://ldap.example.com:636/ou=People,dc=example,dc=com?uid"
* bindDN: "uid=openshift,ou=svc,dc=example,dc=com"
* bindPassword:
* name: rhds-ldap-secret
* ca:
* name: rhds-ca-config-map
* insecure: false
* attributes:
* id: ["dn"]
* name: ["cn"]
* preferredUsername: ["uid"]
* email: ["mail"]
* url: where to search for users and which attribute is used for login (here uid).
* bindDN + bindPassword: service account used for LDAP queries.
* ca: trusts the LDAP server CA for TLS.
* attributes: maps LDAP data into OpenShift user identity fields.
* Restart OAuth pods to load changes quickly
* oc -n openshift-authentication delete pod -l app=oauth-openshift
* This forces pods to restart and re-read the updated configuration.
* Verify the identity provider appears and users can log in
* In the web console login page, you should see the new provider (name may show as corp-ldap).
* After a successful login, confirm user objects appear:
* oc get users
* oc get identities
* OpenShift creates User and Identity objects upon first successful authentication.
NEW QUESTION # 25
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 # 26
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 # 27
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 # 28
Configure log forwarding to an external endpoint
Task Information : Configure Cluster Logging to forward application logs to an external output using ClusterLogForwarder.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Verify logging namespace and resources
* oc get ns openshift-logging
* oc -n openshift-logging get clusterlogforwarder
* ClusterLogForwarder configures pipelines and outputs.
* Create/Edit ClusterLogForwarder (example structure)
* Define an output (external system) and pipeline selecting application logs.
* Apply via YAML:
* oc -n openshift-logging apply -f clusterlogforwarder.yaml
* Validate collector pods are healthy
* oc -n openshift-logging get pods
* Forwarding relies on collectors (vector/fluentd depending config).
* Generate a test log line
* oc -n openshift-logging run logger --image=busybox --restart=Never -- /bin/sh -c 'echo hello- forwarding; sleep 5'
* This creates a known message to search in the external endpoint.
* Confirm logs arrive at destination
* Use your external system's query/search to confirm hello-forwarding.
NEW QUESTION # 29
......
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