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>> EX380 Reliable Test Test <<
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NEW QUESTION # 28
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.
Answer:
Explanation:
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.
NEW QUESTION # 29
Maintain group synchronization on a schedule (CronJob)
Task Information : Create a CronJob that runs LDAP group sync on a schedule using a service account that has the required permissions.
Answer:
Explanation:
See the solution below in Explanation:
Explanation:
* Create a namespace for the sync job
* oc new-project id-sync
* Keeps the automation components organized.
* Create a service account for the sync job
* oc -n id-sync create sa group-sync
* CronJob runs under this SA identity.
* Grant cluster permissions to manage groups
* oc adm policy add-cluster-role-to-user cluster-admin system:serviceaccount:id-sync:group-sync
* In real environments you should scope down, but lab Task SIMULATIONs often accept cluster- admin for speed.
* Create a ConfigMap for groupsync.yaml and Secret(s) for bind password/CA
* Mount them into the job container.
* Create CronJob to run group sync
* Command inside job:
* oc adm groups sync --sync-config=/config/groupsync.yaml --confirm
* The CronJob ensures periodic reconciliation with LDAP.
* Verify job runs
* oc -n id-sync get cronjob
* oc -n id-sync get jobs
* oc -n id-sync logs job/ < job-name >
NEW QUESTION # 30
Spread replicas using podAntiAffinity
Task Information : Configure payments/api to prefer scheduling pods on different nodes.
Answer:
Explanation:
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
NEW QUESTION # 31
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 # 32
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 # 33
......
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