Free IBM C1000-130 Practice Exam with Questions & Answers

IBM Cloud Pak for Integration (CP4I) v2021.2 is designed to run on Red Hat OpenShift Container Platform (OCP). Each version of CP4I has a minimum required OpenShift version to ensure compatibility, performance, and security.

For Cloud Pak for Integration v2021.2, the minimum required OpenShift version is 4.7.4.

Compatibility: CP4I components, including IBM MQ, API Connect, App Connect, and Event Streams, require specific OpenShift versions to function properly.

Security & Stability: Newer OpenShift versions include critical security updates and performance improvements essential for enterprise deployments.

Operator Lifecycle Management (OLM): CP4I uses OpenShift Operators, and the correct OpenShift version ensures proper installation and lifecycle management.

Minimum required OpenShift version: 4.7.4

Recommended OpenShift version: 4.8 or later

Key Considerations for OpenShift Version Requirements:IBM’s Official Minimum OpenShift Version Requirements for CP4I v2021.2:

IBM officially requires at least OpenShift 4.7.4 for deploying CP4I v2021.2.

OpenShift 4.6.x versions are not supported for CP4I v2021.2.

OpenShift 4.7.4 is the first fully supported version that meets IBM's compatibility requirements.

Why Answer A (4.7.4) is Correct?

B. 4.6.8 → Incorrect

OpenShift 4.6.x is not supported for CP4I v2021.2.

IBM Cloud Pak for Integration v2021.1 supported OpenShift 4.6, but v2021.2 requires 4.7.4 or later.

C. 4.7.4 → Correct

This is the minimum required OpenShift version for CP4I v2021.2.

D. 4.6.2 → Incorrect

OpenShift 4.6.2 is outdated and does not meet the minimum version requirement for CP4I v2021.2.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration v2021.2 System Requirements

Red Hat OpenShift Version Support Matrix

IBM Cloud Pak for Integration OpenShift Deployment Guide

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

The IBM Storage Suite for Cloud Paks provides storage licensing for various IBM Cloud Pak solutions, including Cloud Pak for Integration (CP4I). It supports multiple storage options, such as IBM Spectrum Scale, IBM Spectrum Virtualize, IBM Spectrum Discover, IBM Spectrum Protect Plus, and OpenShift Container Storage (OCS).

IBM licenses CP4I based on Virtual Processor Cores (VPCs).

Storage Suite for Cloud Paks uses a conversion factor:

1 VPC of CP4I provides 25GB of OCS storage entitlement.

To calculate how much CP4I VPC is required for 8TB (8000GB) of OCS:

Understanding Licensing Conversion:8000GB25GB per VPC=320 VPCs\frac{8000GB}{25GB \text{ per VPC}} = 320 \text{ VPCs}25GB per VPC8000GB​=320 VPCs

Since the administrator only has 200 VPCs of CP4I, they do not have enough entitlement to cover the full 8TB of OCS storage. They would need an additional 120 VPCs to fully meet the requirement.

A. The Storage Suite entitlement covers the administrator's license needs only if the OpenShift cluster is running on IBM Cloud or AWS.

Incorrect, because Storage Suite for Cloud Paks can be used on any OpenShift deployment, including on-premises, IBM Cloud, AWS, or other cloud providers.

C. The Storage Suite entitlement already covers the administrator's license needs.

Incorrect, because 200 VPCs of CP4I only provide 5TB (200 × 25GB) of OCS storage, but the administrator needs 8TB.

D. The Storage Suite entitlement only covers IBM Spectrum products, but the licenses can be converted to OCS.

Incorrect, because Storage Suite already includes OpenShift Container Storage (OCS) as part of its licensing model without requiring any conversion.

Why Other Options Are Incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

IBM Storage Suite for Cloud Paks Licensing Guide

IBM Cloud Pak for Integration Licensing Information

OpenShift Container Storage Entitlement

In IBM Cloud Pak for Integration (CP4I) v2021.2, the CA (Certificate Authority) domain specified for the cluster is typically stored in the config.yaml file. This file contains cluster-wide configuration settings, including TLS certificates, security settings, and domain details used for CA and authentication.

config.yaml is a standard Kubernetes and OpenShift configuration file format that stores cluster-wide settings, including CA domain and security configurations.

This file defines certificate authority (CA) details, domain names, authentication settings, and cluster networking information.

It is commonly used when configuring IBM Cloud Pak foundational services and handling TLS/SSL certificates for secure communication between CP4I components.

Why Option C (config.yaml) is Correct:

A. ca.config → Incorrect

There is no standard ca.config file in IBM Cloud Pak for Integration or OpenShift for defining the CA domain.

CA-related configurations are stored in certificates and security configuration files, usually inside config.yaml.

B. config.json → Incorrect

JSON format (config.json) is not used for cluster-wide configurations in CP4I or OpenShift.

Configuration files in OpenShift and Kubernetes are typically in YAML (.yaml) format.

D. domain.config → Incorrect

domain.config is not a standard configuration file for IBM Cloud Pak for Integration.

Domain settings are managed in config.yaml and other Kubernetes secret configurations.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration Security and TLS Configuration

IBM Cloud Pak Foundational Services - Configuring TLS Certificates

Red Hat OpenShift Security Documentation

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

IBM Aspera High-Speed Transfer Server (HSTS) is a key component of IBM Cloud Pak for Integration (CP4I) that enables secure, high-speed data transfers. There are two primary methods to create an Aspera HSTS instance in CP4I v2021.2:

OpenShift Console (Option B - Correct):

Aspera HSTS can be deployed within an OpenShift cluster using the OpenShift Console.

Administrators can deploy Aspera HSTS by creating an instance from the IBM Aspera HSTS operator, which is available through the OpenShift OperatorHub.

The deployment is managed using Kubernetes custom resources (CRs) and YAML configurations.

IBM Aspera HSTS Installer (Option D - Correct):

IBM provides an installer for setting up an Aspera HSTS instance on supported platforms.

This installer automates the process of configuring the required services and dependencies.

It is commonly used for standalone or non-OpenShift deployments.

Analysis of Other Options:

Option A (Foundational Services Dashboard) - Incorrect:

The Foundational Services Dashboard is used for managing IBM Cloud Pak foundational services like identity and access management but does not provide direct deployment of Aspera HSTS.

Option C (Platform Navigator) - Incorrect:

Platform Navigator is used to manage cloud-native integrations, but it does not directly create Aspera HSTS instances. Instead, it can be used to access and manage the Aspera HSTS services after deployment.

Option E (Terraform) - Incorrect:

While Terraform can be used to automate infrastructure provisioning, IBM does not provide an official Terraform module for directly creating Aspera HSTS instances in CP4I v2021.2.

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

IBM Documentation: Deploying Aspera HSTS on OpenShift

IBM Aspera Knowledge Center: Aspera HSTS Installation Guide

IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide

In IBM Cloud Pak for Integration (CP4I) v2021.2, when deploying IBM MQ containers in OpenShift, queue definitions and other MQSC (MQ Script Command) commands need to be provided to configure the MQ environment dynamically. This is typically done using a Kubernetes ConfigMap, which allows administrators to define and inject configuration files, including MQSC scripts, into the containerized MQ instance at runtime.

A ConfigMap in OpenShift or Kubernetes is used to store configuration data as key-value pairs or files.

For IBM MQ, a ConfigMap can include an MQSC script that contains queue definitions, channel settings, and other MQ configurations.

When a new MQ container is deployed, the ConfigMap is mounted into the container, and the MQSC commands are executed to set up the queues.

Why is ConfigMap the Correct Answer?Example Usage:A sample ConfigMap containing MQSC commands for queue definitions may look like this:

apiVersion: v1

kind: ConfigMap

metadata:

name: my-mq-config

data:

10-create-queues.mqsc: |

DEFINE QLOCAL('MY.QUEUE') REPLACE

DEFINE QLOCAL('ANOTHER.QUEUE') REPLACE

This ConfigMap can then be referenced in the MQ Queue Manager’s deployment configuration to ensure that the queue definitions are automatically executed when the MQ container starts.

A. MORegistry - Incorrect

The MORegistry is not a component used for queue definitions. Instead, it relates to Managed Objects in certain IBM middleware configurations.

B. CCDTJSON - Incorrect

CCDTJSON refers to Client Channel Definition Table (CCDT) in JSON format, which is used for defining MQ client connections rather than queue definitions.

C. OperatorImage - Incorrect

The OperatorImage contains the IBM MQ Operator, which manages the lifecycle of MQ instances in OpenShift, but it does not store queue definitions or execute MQSC commands.

IBM Documentation: Configuring IBM MQ with ConfigMaps

IBM MQ Knowledge Center: Using MQSC commands in Kubernetes ConfigMaps

IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide

Analysis of Other Options:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

In IBM Cloud Pak for Integration (CP4I) v2021.2, Event Endpoint Management (EEM) is the capability that describes, catalogs, and socializes APIs for Kafka event sources with application developers.

Event Endpoint Management (EEM) allows developers to discover and consume Kafka event sources in a structured way, similar to how REST APIs are managed in an API Gateway.

It provides a developer portal where event-driven APIs can be exposed, documented, and consumed by applications.

It helps organizations share event-driven APIs with internal teams or external consumers, enabling seamless event-driven integrations.

Why "Event Endpoint Management" is the Correct Answer?

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. Gateway Endpoint Management

❌ Incorrect – Gateway endpoint management refers to managing API Gateway endpoints for routing and securing APIs, but it does not focus on event-driven APIs like Kafka.

❌

B. REST Endpoint Management

❌ Incorrect – REST Endpoint Management deals with traditional RESTful APIs, not event-driven APIs for Kafka.

❌

D. API Endpoint Management

❌ Incorrect – API Endpoint Management is a generic term for managing APIs but does not specifically focus on event-driven APIs for Kafka.

❌

Final Answer:✅ C. Event Endpoint Management

IBM Cloud Pak for Integration – Event Endpoint Management

IBM Event Endpoint Management Documentation

Kafka API Discovery & Management in IBM CP4I

Before installing IBM Cloud Pak for Integration (CP4I) on an OpenShift Cluster, an administrator needs to verify that the cluster meets the infrastructure prerequisites such as CPU, memory, and overall resource availability.

The most effective way to check real-time resource utilization and capacity is by using the oc adm top nodes command.

This command provides a summary of CPU and memory usage for all nodes in the cluster.

It is part of the OpenShift administrator CLI (oc adm), which is designed for cluster-wide management.

The information is fetched from Metrics Server or Prometheus, giving accurate real-time data.

It helps administrators assess whether the cluster has sufficient resources to support CP4I deployment.

Why is oc adm top nodes the correct answer?Example usage:oc adm top nodes

Example Output:scss

Copy

NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%

worker-node-1 1500m 30% 8Gi 40%

worker-node-2 1200m 25% 6Gi 30%

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. Use the oc cluster status command to dump the node capacity and utilization statistics for all the nodes.

❌ Incorrect – The oc cluster status command does not exist in OpenShift CLI. Instead, oc status gives a summary of the cluster but does not provide node resource utilization.

❌

B. Use the oc get nodes -o wide command to obtain the capacity and utilization statistics of memory and compute of the nodes.

❌ Incorrect – The oc get nodes -o wide command only shows basic node details like OS, internal/external IPs, and roles. It does not display CPU or memory utilization.

❌

C. Use the oc describe nodes command to dump the node capacity and utilization statistics for all the nodes.

❌ Incorrect – The oc describe nodes command provides detailed information about a node, but not real-time resource usage. It lists allocatable resources but does not give current utilization stats.

❌

Final Answer:✅ D. Use the oc adm top nodes command to obtain the capacity and utilization statistics of memory and compute of the nodes.

IBM Cloud Pak for Integration - OpenShift Infrastructure Requirements

Red Hat OpenShift CLI Reference - oc adm top nodes

Red Hat OpenShift Documentation - Resource Monitoring

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

The command:

oc extract secret/platform-auth-idp-credentials --to=-

is used to retrieve and display the admin user credentials stored in the platform-auth-idp-credentials secret within an OpenShift-based IBM Cloud Pak for Integration (CP4I) deployment.

In IBM Cloud Pak Foundational Services, the platform-auth-idp-credentials secret contains the admin username and password used to authenticate with OpenShift and Cloud Pak services.

The oc extract command decodes the secret and displays its contents in plaintext in the terminal.

The --to=- flag directs the output to standard output (STDOUT), ensuring that the credentials are immediately visible instead of being written to a file.

This command is commonly used for recovering lost admin credentials or retrieving them for automated processes.

Why Option C (Displays the credentials of the admin user) is Correct:

A. Writes the OpenShift Container Platform credentials to the current directory. → Incorrect

The --to=- option displays the credentials, but it does not write them to a file in the directory.

To save the credentials to a file, the command would need a filename, e.g., --to=admin-creds.txt.

B. Generates Base64 decoded secrets for all Cloud Pak for Integration users. → Incorrect

The command only extracts one specific secret (platform-auth-idp-credentials), which contains the admin credentials only.

It does not generate or decode secrets for all users.

D. Distributes credentials throughout the Cloud Pak for Integration platform. → Incorrect

The command extracts and displays credentials, but it does not distribute or propagate them.

Credentials distribution in Cloud Pak for Integration is handled through Identity and Access Management (IAM) configurations.

Explanation of Incorrect Answers:

IBM Cloud Pak Foundational Services - Retrieving Admin Credentials

OpenShift CLI (oc extract) Documentation

IBM Cloud Pak for Integration Identity and Access Management

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: