EX380のJPTestKing試験トレントを正常に支払った後、購入者は5〜10分でシステムから送信されたメールを受け取ります。その後、候補者はリンクを開いてログインし、EX380テストトレントを使用してすぐに学習できます。時間は受験者にとって非常に重要であるため、誰もが効率的に学習できることを願っています。そのため、候補者は購入後すぐにEX380ガイドの質問を使用でき、当社製品の大きな利点になります。受験者がEX380テストトレントを習得し、EX380試験の準備を改善することは便利です。
| Certification Vendor: | Red Hat |
|---|---|
| Exam Name: | Red Hat Certified Specialist in OpenShift Automation and Integration (EX380) |
| Exam Number: | EX380 |
| Available Languages: | English |
| Passing Score: | Pass/Fail (performance-based scoring by Red Hat; exact numeric score not publicly disclosed) |
| Related Certifications: | Red Hat Certified Specialist in OpenShift Administration Red Hat Certified Engineer (RHCE) Red Hat Certified System Administrator (RHCSA) |
| Exam Format: | Hands-on practical tasks in OpenShift and automation environments, Performance-based lab exam |
| Exam Price: | USD 400 (varies by region) |
| Real Exam Qty: | Performance-based exam (typically 1–3 hands-on tasks) |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 240 minutes |
| Recommended Training: | Red Hat Ansible Automation Platform training Red Hat OpenShift Administration courses |
| 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 |
1年以内にEX380テスト準備を更新し、必要なものを無料でダウンロードします。 1年後、購入者がサービスの保証を延長してお金を節約できるようにしたい場合、RedHatクライアントに50％の割引特典を提供します。 あなたが古いクライアントである場合、EX380試験トレントを購入する際に特定の割引を享受できるため、より多くのサービスとより多くのメリットを享受できます。 このアップデートでは、最新かつ最も有用なEX380準備トレントを提供できます。さらに学習して、Red Hat Certified Specialist in OpenShift Automation and IntegrationのEX380試験に合格することができます。
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質問 # 16
Kubeconfig Management - Approve CSR
正解：
解説：
See the solution below in Explanation:
Explanation:
Step 1: Identify the pending certificate signing request.
The lab names it audit-csr.
Step 2: Run the approval command:
oc adm certificate approve audit-csr
Step 3: Confirm approval.
The lab output shows:
certificatesigningrequest.certificates.k8s.io/audit-csr approved
Detailed explanation:
In Kubernetes and OpenShift, a CSR must be approved before the requester can use the signed certificate for authentication. This Task approves the CSR named audit-csr, which is likely associated with the audit user or service account access flow in the lab. Certificate-based authentication is commonly used for kubeconfig access because it enables secure client identity without relying solely on tokens. Until the CSR is approved, the certificate cannot be trusted by the cluster API for authenticated operations. Administrative approval is therefore a gatekeeping step that ensures only intended certificate requests become valid credentials. This Task is part of a broader kubeconfig workflow that continues with setting credentials and defining context.
質問 # 17
GitOps and MachineConfig - Push MachineConfig to Git
正解：
解説：
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.
質問 # 18
Spread replicas using podAntiAffinity
Task Information : Configure payments/api to prefer scheduling pods on different nodes.
正解：
解説：
See the solution below in Explanation:
Explanation:
* Patch deployment with preferred podAntiAffinity
* oc -n payments patch deploy api --type=merge -p '{
* "spec":{"template":{"spec":{"affinity":{
* "podAntiAffinity":{
* "preferredDuringSchedulingIgnoredDuringExecution":[{
* "weight":100,
* "podAffinityTerm":{
* "labelSelector":{"matchLabels":{"app":"api"}},
* "topologyKey":"kubernetes.io/hostname"
* }
* }]
* }
* }}}}
* }'
* Encourages spread across nodes to reduce single-node impact.
* Verify spread
* oc -n payments get pods -o wide
質問 # 19
Logging Configuration - Configure ClusterLogging in Web Console
正解：
解説：
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.
質問 # 20
GitOps and MachineConfig - Trigger Argo CD Synchronization by Repository Update
正解：
解説：
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.
質問 # 21
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EX380模擬対策: https://www.jptestking.com/EX380-exam.html