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IBM Cloud Pak for Integration V2021.2 Administration certification exam, also known as the C1000-130 exam, is designed to test your knowledge and skills in managing IBM Cloud Pak for Integration. C1000-130 Exam is intended for IT professionals who are responsible for administering and managing integration solutions on the IBM Cloud Pak platform.
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IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q71-Q76):
NEW QUESTION # 71
What role is required to install OpenShift GitOps?
Answer: C
Explanation:
In Red Hat OpenShift, installing OpenShift GitOps (based on ArgoCD) requires elevated cluster-wide permissions because the installation process:
Deploys Custom Resource Definitions (CRDs).
Creates Operators and associated resources.
Modifies cluster-scoped components like role-based access control (RBAC) policies.
Only a user with cluster-admin privileges can perform these actions, making cluster-admin the correct role for installing OpenShift GitOps.
Command to Install OpenShift GitOps:
oc apply -f openshift-gitops-subscription.yaml
This operation requires cluster-wide permissions, which only the cluster-admin role provides.
Why the Other Options Are Incorrect?
Option
Explanation:
Correct?
A . cluster-operator
❌ Incorrect - No such default role exists in OpenShift. Operators are managed within namespaces but cannot install GitOps at the cluster level.
❌
C . admin
❌ Incorrect - The admin role provides namespace-level permissions, but GitOps requires cluster-wide access to install Operators and CRDs.
❌
D . operator
❌ Incorrect - This is not a valid OpenShift role. Operators are software components managed by OpenShift, but an operator role does not exist for installation purposes.
❌
Final answer:
✅ B. cluster-admin
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
Red Hat OpenShift GitOps Installation Guide
Red Hat OpenShift RBAC Roles and Permissions
IBM Cloud Pak for Integration - OpenShift GitOps Best Practices
NEW QUESTION # 72
What technology are OpenShift Pipelines based on?
Answer: B
Explanation:
OpenShift Pipelines are based on Tekton, an open-source framework for building Continuous Integration/Continuous Deployment (CI/CD) pipelines natively in Kubernetes.
Tekton provides Kubernetes-native CI/CD functionality by defining pipeline resources as custom resources (CRDs) in OpenShift. This allows for scalable, cloud-native automation of software delivery.
Why Tekton is Used in OpenShift Pipelines?
Kubernetes-Native: Unlike Jenkins, which requires external servers or agents, Tekton runs natively in OpenShift/Kubernetes.
Serverless & Declarative: Pipelines are defined using YAML configurations, and execution is event-driven.
Reusable & Extensible: Developers can define Tasks, Pipelines, and Workspaces to create modular workflows.
Integration with GitOps: OpenShift Pipelines support Argo CD for GitOps-based deployment strategies.
Example of a Tekton Pipeline Definition in OpenShift:
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: example-pipeline
spec:
tasks:
- name: echo-hello
taskSpec:
steps:
- name: echo
image: ubuntu
script: |
#!/bin/sh
echo "Hello, OpenShift Pipelines!"
Explanation of Incorrect Answers:
A . Travis → ❌ Incorrect
Travis CI is a cloud-based CI/CD service primarily used for GitHub projects, but it is not used in OpenShift Pipelines.
B . Jenkins → ❌ Incorrect
OpenShift previously supported Jenkins-based CI/CD, but OpenShift Pipelines (Tekton) is now the recommended Kubernetes-native alternative.
Jenkins requires additional agents and servers, whereas Tekton runs serverless in OpenShift.
D . Argo CD → ❌ Incorrect
Argo CD is used for GitOps-based deployments, but it is not the underlying technology of OpenShift Pipelines.
Tekton and Argo CD can work together, but Argo CD alone does not handle CI/CD pipelines.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration CI/CD Pipelines
Red Hat OpenShift Pipelines (Tekton)
Tekton Pipelines Documentation
NEW QUESTION # 73
An administrator is looking to install Cloud Pak for Integration on an OpenShift cluster. What is the result of executing the following?
Answer: C
Explanation:
The given YAML configuration is for ClusterLogging in an OpenShift environment, which is used for centralized logging. The key part of the specification that determines the behavior of Elasticsearch is:
logStore:
type: "elasticsearch"
elasticsearch:
nodeCount: 1
storage: {}
redundancyPolicy: ZeroRedundancy
Analysis of Key Fields:
nodeCount: 1
This means the Elasticsearch cluster will consist of only one node (single-node deployment).
storage: {}
The empty storage field implies no persistent storage is configured.
This means that if the pod is deleted or restarted, all stored logs will be lost.
redundancyPolicy: ZeroRedundancy
ZeroRedundancy means there is no data replication, making the system vulnerable to data loss if the pod crashes.
In contrast, a redundancy policy like MultiRedundancy ensures high availability by replicating data across multiple nodes, but that is not the case here.
Evaluating Answer Choices:
Option
Explanation:
Correct?
A . A single node ElasticSearch cluster with default persistent storage.
Incorrect, because storage: {} means no persistent storage is configured.
❌
B . A single infrastructure node with persisted ElasticSearch.
Incorrect, as this is not configuring an infrastructure node, and storage is not persistent.
❌
C . A single node ElasticSearch cluster which auto scales when redundancyPolicy is set to MultiRedundancy.
Incorrect, because setting MultiRedundancy does not automatically enable auto-scaling. Scaling needs manual intervention or Horizontal Pod Autoscaler (HPA).
❌
D . A single node ElasticSearch cluster with no persistent storage.
Correct, because nodeCount: 1 creates a single node, and storage: {} ensures no persistent storage.
✅
Final answer:
✅ D. A single node ElasticSearch cluster with no persistent storage.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM CP4I Logging and Monitoring Documentation
Red Hat OpenShift Logging Documentation
Elasticsearch Redundancy Policies in OpenShift Logging
NEW QUESTION # 74
Which capability describes and catalogs the APIs of Kafka event sources and socializes those APIs with application developers?
Answer: C
Explanation:
https://www.ibm.com/docs/en/cloud-paks/cp-integration/2021.3?topic=socializing-your-kafka-event-sources
NEW QUESTION # 75
An account lockout policy can be created when setting up an LDAP server for the Cloud Pak for Integration platform. What is this policy used for?
Answer: C
Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, when integrating LDAP (Lightweight Directory Access Protocol) for authentication, an account lockout policy can be configured to enhance security.
The account lockout policy is designed to prevent brute-force attacks by temporarily or permanently restricting user access after multiple failed login attempts.
How the Account Lockout Policy Works:
If a user enters incorrect credentials multiple times, the account is locked based on the configured policy.
The lockout can be temporary (auto-unlock after a period) or permanent (admin intervention required).
This prevents attackers from guessing passwords through repeated login attempts.
Why Answer D is Correct?
The policy's main function is to restrict access after repeated failed attempts, ensuring security.
It helps mitigate brute-force attacks and unauthorized access.
LDAP enforces the lockout rules based on the organization's security settings.
Explanation of Incorrect Answers:
A . It warns the administrator if multiple login attempts fail. → Incorrect While administrators may receive alerts, the primary function of the lockout policy is to restrict access, not just warn the admin.
B . It prompts the user to change the password. → Incorrect
An account lockout prevents login rather than prompting a password change.
Password change prompts usually happen for expired passwords, not failed logins.
C . It deletes the user account. → Incorrect
Lockout disables access but does not delete the user account.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Security & LDAP Configuration
IBM Cloud Pak Foundational Services - Authentication & User Management
IBM Cloud Pak for Integration - Managing User Access
IBM LDAP Account Lockout Policy Guide
NEW QUESTION # 76
......
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