RedHat EX380 exam - in .pdf

EX380 pdf
  • Exam Code: EX380
  • Exam Name: Red Hat Certified Specialist in OpenShift Automation and Integration
  • Updated: Oct 29, 2026
  • Q & A: 44 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

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  • Exam Code: EX380
  • Exam Name: Red Hat Certified Specialist in OpenShift Automation and Integration
  • Updated: Oct 29, 2026
  • Q & A: 44 Questions and Answers
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RedHat EX380 exam - Testing Engine

EX380 Testing Engine
  • Exam Code: EX380
  • Exam Name: Red Hat Certified Specialist in OpenShift Automation and Integration
  • Updated: Oct 29, 2026
  • Q & A: 44 Questions and Answers
  • Software Price: $59.99
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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
  • Back up and restore applications with OpenShift API for Data Protection (OADP): Covers deploying OADP, performing full application backups including data and resources, using volume snapshots, and scheduling and restoring backups.
Topic 3
  • Provision and inspect cluster logging: Covers deploying and configuring OpenShift logging with Vector and Loki, forwarding logs externally, querying logs, and diagnosing logging issues.
Topic 4
  • Configure and manage OpenShift Authentication and Identities: Covers integrating OpenShift with external identity providers like LDAP and Keycloak, managing RBAC, group synchronization, and kubeconfig-based authentication.
Topic 5
  • 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.

Reference: https://www.redhat.com/en/services/training/ex380-certified-specialist-openshift-automation-exam

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RedHat Red Hat Certified Specialist in OpenShift Automation and Integration Sample Questions:

Question #1

Identity Management - Create HTPasswd Secret

Reveal Solution  Discussion  0

Correct Answer:

See the solution below in Explanation:
Explanation:
Step 1: Open a terminal with oc access to the cluster.
This Task is CLI-driven and targets the openshift-config namespace.
Step 2: Run the command:
oc create secret generic rhds-ldap-secret --from-literal bindPassword=redhatocp -n openshift-config Step 3: Verify that the secret is created successfully.
The lab output shows:
secret/rhds-ldap-secret created
Detailed explanation:
This step creates a generic secret named rhds-ldap-secret in the openshift-config namespace. The secret stores a key called bindPassword with the value redhatocp. In an identity-provider or LDAP integration workflow, the bind password is used by OpenShift when connecting to the external directory service. Storing this value in a secret is the correct operational pattern because authentication material should not be embedded directly into configuration objects. The openshift-config namespace is specifically important because cluster authentication configuration commonly references secrets and configmaps from that namespace. If the secret name or key is wrong, the authentication configuration that depends on it may fail to validate or connect properly.

Question #2

Configure and synchronize OpenShift groups from LDAP (group sync)
Task Information : Create an LDAP group-sync config, run a one-time sync, and confirm groups exist in OpenShift.

Reveal Solution  Discussion  0

Correct Answer:

See the solution below in Explanation:
Explanation:
* Create a group sync config file (example groupsync.yaml)
* This file defines how OpenShift queries LDAP for groups and members.
* Run a one-time group sync
* oc adm groups sync --sync-config=groupsync.yaml --confirm
* --confirm actually applies changes (without it, it's a dry-run preview).
* Verify groups created/updated
* oc get groups
* oc describe group < groupname >
* Confirms group objects exist and membership is present.

Question #3

Logging Configuration - Configure ClusterLogging in Web Console

Reveal Solution  Discussion  0

Correct Answer:

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.

Question #4

Node Management - Remove Taint on Worker Node

Reveal Solution  Discussion  0

Correct Answer:

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.

Question #5

Logging Configuration - Configure ClusterLogging in Web Console

Reveal Solution  Discussion  0

Correct Answer:

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.

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