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RedHat EX380 Exam Overview:

Certification Vendor:Red Hat
Exam Name:Red Hat Certified Specialist in OpenShift Automation and Integration (EX380)
Exam Number:EX380
Available Languages:English
Exam Price:USD 400 (varies by region)
Certificate Validity Period:3 years
Exam Duration:240 minutes
Exam Format:Hands-on practical tasks in OpenShift and automation environments, Performance-based lab exam
Passing Score:Pass/Fail (performance-based scoring by Red Hat; exact numeric score not publicly disclosed)
Related Certifications:Red Hat Certified System Administrator (RHCSA)
Red Hat Certified Specialist in OpenShift Administration
Red Hat Certified Engineer (RHCE)
Real Exam Qty:Performance-based exam (typically 1โ€“3 hands-on tasks)
Recommended Training:Red Hat OpenShift Administration courses
Red Hat Ansible Automation Platform training
Exam Registration:Red Hat Certification Catalog
Red Hat Training and Exams
Sample Questions:RedHat EX380 Sample Questions
Exam Way:Online remote exam or onsite testing center (performance-based lab environment)
Pre Condition:No strict prerequisites; RHCSA or equivalent experience with Linux, containers, OpenShift, and Ansible strongly recommended.
Official Syllabus URL:https://www.redhat.com/en/services/certification

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RedHat EX380 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Manage cluster monitoring and metrics: Covers troubleshooting application and cluster performance issues and managing alerts and notifications.
Topic 2
  • Implement OpenShift GitOps: Covers deploying and configuring Argo CD with the GitOps operator to manage both cluster administration and application delivery through Git-based pipelines and integrations.
Topic 3
  • Manage workloads with cluster partitioning: Covers dedicating cluster nodes to specific workloads by configuring node pools, machine configurations, and special-purpose operators.

RedHat Red Hat Certified Specialist in OpenShift Automation and Integration Sample Questions (Q38-Q43):

NEW QUESTION # 38
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 # 39
Add a second Identity Provider (HTPasswd) alongside LDAP
Task Information : Configure multiple identity providers by adding an HTPasswd IDP without removing the existing LDAP IDP.

Answer:

Explanation:
See the solution below in Explanation:
Explanation:
* Create a local htpasswd file with a test user
* htpasswd -c -B -b /tmp/htpass.txt testuser RedHat123!
* -c creates a new file (use only once).
* -B uses bcrypt hashing (recommended).
* -b supplies password non-interactively (good for labs).
* Create the HTPasswd secret in openshift-config
* oc -n openshift-config create secret generic htpass-secret --from-file=htpasswd=/tmp/htpass.txt
* OAuth reads the htpasswd key from this secret.
* Edit OAuth and add the HTPasswd provider (keep LDAP intact)
* oc edit oauth cluster
Add another entry under spec.identityProviders:
- name: local-htpasswd
mappingMethod: claim
type: HTPasswd
htpasswd:
fileData:
name: htpass-secret
* This adds a second login option while preserving LDAP.
* Restart OAuth pods
* oc -n openshift-authentication delete pod -l app=oauth-openshift
* Ensures the updated list of identity providers is loaded.
* Verify login works for htpasswd user
* Log in via console using testuser.
* Confirm the user is created:
* oc get user testuser


NEW QUESTION # 40
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 # 41
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 # 42
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 # 43
......

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