Practice Free EX380 Red Hat Certified Specialist in OpenShift Automation and Integration Exam Questions Answers With Explanation

Step 1: Ensure the client certificate and private key files are available.

The lab uses audit.crt and tls.key.

Step 2: Run the command:

oc config set-credentials audit --client-certificate audit.crt --client-key tls.key --embed-certs --kubeconfig audit.config

Step 3: Confirm the user entry is written.

The lab output shows:

User "audit" set.

Detailed explanation:

This command creates or updates the audit user entry inside the kubeconfig file audit.config. It points the user to a client certificate and private key, and the --embed-certs option stores certificate material directly inside the kubeconfig rather than only referencing external files. That makes the kubeconfig more portable because it can be moved and used without separately copying the certificate files, provided the embedded content is valid. In certificate-based authentication, the private key proves client possession while the certificate presents the approved identity. If the certificate and key do not match, authentication will fail. This step does not yet define what cluster or namespace the user works against; it only defines the credential identity.

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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.

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Patch deployment with toleration

oc -n payments patch deploy api --type=merge -p '{

"spec":{"template":{"spec":{"tolerations":[

{"key":"dedicated","operator":"Equal","value":"payments","effect":"NoSchedule"}

]}}}

}'

Toleration allows pods to schedule onto tainted nodes.

Verify scheduling

oc -n payments get pods -o wide

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Generate private key and CSR

openssl genrsa -out audit2.key 2048

openssl req -new -key audit2.key -out audit2.csr -subj "/CN=audit2/O=auditors"

CN becomes username; O can map to groups in some setups.

Base64 encode CSR for the API object

CSR=$(base64 -w0 audit2.csr)

Kubernetes CSR object expects base64-encoded request data.

Create the CSR object

cat < < EOF | oc apply -f -

apiVersion: certificates.k8s.io/v1

kind: CertificateSigningRequest

metadata:

name: audit2-csr

spec:

request: ${CSR}

signerName: kubernetes.io/kube-apiserver-client

usages:

- client auth

EOF

Approve the CSR

oc adm certificate approve audit2-csr

Approval triggers certificate issuance.

Extract the signed certificate

oc get csr audit2-csr -o jsonpath='{.status.certificate}' | base64 -d > audit2.crt

Produces the client certificate file.

Build kubeconfig using cert/key

oc config set-credentials audit2 \

--client-certificate=audit2.crt --client-key=audit2.key \

--embed-certs=true --kubeconfig=audit2.kubeconfig

oc config set-cluster lab \

--server="$(oc whoami --show-server)" \

--insecure-skip-tls-verify=true \

--kubeconfig=audit2.kubeconfig

oc config set-context audit2 \

--cluster=lab --user=audit2 --namespace=default \

--kubeconfig=audit2.kubeconfig

Creates a kubeconfig that authenticates using client certificates.

Test

oc --kubeconfig=audit2.kubeconfig get ns

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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.

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Create target namespace

oc new-project gitops-demo

Destination must exist (unless Argo is configured to auto-create).

Create Application manifest

apiVersion: argoproj.io/v1alpha1

kind: Application

metadata:

name: demo-app

namespace: openshift-gitops

spec:

project: default

source:

repoURL: https://git.example.com/org/repo.git

targetRevision: main

path: manifests/demo

destination:

server: https://kubernetes.default.svc

namespace: gitops-demo

syncPolicy:

automated:

prune: true

selfHeal: true

automated: enables auto sync.

prune: removes deleted objects from Git.

selfHeal: corrects drift.

Apply Application

oc apply -f demo-app.yaml

Verify sync health

oc -n openshift-gitops get application demo-app -o yaml | grep -i -E "sync|health" -n

oc -n gitops-demo get all

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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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