Authentic IBM Certification Exam C1000-130 Questions Answers

In IBM Cloud Pak for Integration (CP4I), Lightweight Directory Access Protocol (LDAP) integration allows centralized authentication and user management. To configure LDAP and establish a connection, users must have sufficient privileges within the Cloud Pak environment.

The two roles that can connect and configure LDAP are:

Cloud Pak administrator (A) – ✅ Correct

This role has full administrative access to Cloud Pak services, including configuring authentication and integrating with external directories like LDAP.

A Cloud Pak administrator can define identity providers and manage user access settings.

Cluster administrator (B) – ✅ Correct

The Cluster administrator role has control over the OpenShift cluster, including managing security settings, authentication providers, and infrastructure configurations.

Since LDAP integration requires changes at the cluster level, this role is also capable of configuring LDAP connections.

C. Cluster manager (Incorrect)

There is no predefined "Cluster manager" role in Cloud Pak for Integration that specifically handles LDAP integration.

D. Cloud Pak root (Incorrect)

No official "Cloud Pak root" role exists. Root-level access typically refers to system-level privileges but is not a designated role in Cloud Pak.

D. Cloud Pak user (Incorrect)

Cloud Pak users have limited permissions and can only access assigned services; they cannot configure LDAP or authentication settings.

Analysis of Incorrect Options:

IBM Cloud Pak for Integration - Managing Authentication and LDAP

OpenShift Cluster Administrator Role and Access Control

IBM Cloud Pak - Configuring External Identity Providers

IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

In IBM Cloud Pak for Integration (CP4I) v2021.2, when new IBM MQ (Message Queue) containers are deployed, sensitive data such as passwords, credentials, and encryption keys must be securely injected into the container environment.

The correct Kubernetes object for storing and injecting sensitive data is a Secret.

Kubernetes Secrets securely store sensitive data

Secrets allow IBM MQ containers to retrieve authentication credentials (e.g., admin passwords, TLS certificates, and API keys) without exposing them in environment variables or config maps.

Unlike ConfigMaps, Secrets are encrypted and access-controlled, ensuring security compliance.

Used by IBM MQ Operator

When deploying IBM MQ in OpenShift/Kubernetes, the MQ operator references Secrets to inject necessary credentials into MQ containers.

Example:

Why is "Secret" the correct answer?apiVersion: v1

kind: Secret

metadata:

name: mq-secret

type: Opaque

data:

mq-password: bXlxYXNzd29yZA==

The MQ container can then access this mq-password securely.

Prevents hardcoding sensitive data

Instead of storing passwords directly in deployment files, using Secrets enhances security and compliance with enterprise security standards.

Why are the other options incorrect?❌ A. Replicator

The Replicator is responsible for synchronizing and replicating messages across MQ queues but does not store sensitive credentials.

❌ B. MQRegistry

The MQRegistry is used for tracking queue manager details but does not manage sensitive data injection.

It mainly helps with queue manager registration and configuration.

❌ C. DeploymentConfig

A DeploymentConfig in OpenShift defines how pods should be deployed but does not handle sensitive data injection.

Instead, DeploymentConfig can reference a Secret, but it does not store sensitive information itself.

IBM MQ Security - Kubernetes Secrets

IBM Docs – Securely Managing MQ in Kubernetes

IBM Cloud Pak for Integration Knowledge Center

Covers how Secrets are used in MQ container deployments.

Red Hat OpenShift Documentation – Kubernetes Secrets

Secrets in Kubernetes

IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

The IBM Licensing Operator is responsible for managing and tracking IBM software license consumption in OpenShift and Kubernetes environments. It provides two key Custom Resources (CRs) to facilitate license tracking, reporting, and compliance in IBM Cloud Pak deployments:

IBM License Collector (IBMLicenseCollector)

This custom resource is responsible for collecting license usage data from IBM Cloud Pak components and aggregating the data for reporting.

It gathers information from various IBM products deployed within the cluster, ensuring that license consumption is tracked accurately.

IBM License Service (IBMLicenseService)

This custom resource provides real-time license tracking and metering for IBM software running in a containerized environment.

It is the core service that allows administrators to query and verify license usage.

The IBM License Service ensures compliance with IBM Cloud Pak licensing requirements and integrates with the IBM License Service Reporter for extended reporting capabilities.

B. IBM License Service Reporter – Incorrect

While IBM License Service Reporter exists as an additional reporting tool, it is not a custom resource provided directly by the IBM Licensing Operator. Instead, it is a component that enhances license reporting outside the cluster.

C. IBM License Viewer – Incorrect

No such CR exists. IBM License information can be viewed through OpenShift or CLI, but there is no "License Viewer" CR.

E. IBM License Reporting – Incorrect

While reporting is a function of IBM License Service, there is no custom resource named "IBM License Reporting."

Why the other options are incorrect:

IBM Licensing Service Documentation

IBM Cloud Pak Licensing Overview

OpenShift and IBM License Service Integration

IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References: