IBM C1000-130 Exam Questions

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, cluster logging can be forwarded to external third-party systems, with Splunk being one of the officially supported destinations.

OpenShift Log Forwarding Features:

OpenShift Cluster Logging Operator enables log forwarding.

Supports forwarding logs to various external logging solutions, including Splunk.

Uses the Fluentd log collector to send logs to Splunk's HTTP Event Collector (HEC) endpoint.

Provides centralized log management, analysis, and visualization.

Why Not the Other Options?

B . Kafka Broker -- OpenShift does support sending logs to Kafka, but Kafka is a message broker, not a full-fledged logging system like Splunk.

C . Apache Lucene -- Lucene is a search engine library, not a log management system.

D . Apache Solr -- Solr is based on Lucene and is used for search indexing, not log forwarding.

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

OpenShift Log Forwarding to Splunk

IBM Cloud Pak for Integration -- Logging and Monitoring

Red Hat OpenShift Logging Documentation

In an air-gapped environment, the OpenShift cluster does not have direct internet access, which means that new software images, such as IBM API Connect, must be manually mirrored from an external source.

The correct approach for installing a new API Connect capability in an air-gapped OpenShift environment is to:

Use a laptop or a bastion host that does have internet access to pull required container images from IBM's entitled software registry.

Leverage Container Application Software for Enterprises (CASE) files to download and transfer images to the private OpenShift registry.

Mirror images into the OpenShift cluster by using OpenShift's built-in image mirror utilities (oc mirror).

This method ensures that all required container images are available locally within the air-gapped environment.

Why the Other Options Are Incorrect?

Option

Explanation

Correct?

B . An OVA form-factor of the Cloud Pak for Integration is recommended for high-security deployments.

Incorrect -- IBM Cloud Pak for Integration does not provide an OVA (Open Virtual Appliance) format for API Connect deployments. It is containerized and runs on OpenShift.

C . A pass-through route must be configured in the OpenShift Container Platform to connect to the online image registry.

Incorrect -- Air-gapped environments have no internet connectivity, so this approach would not work.

D . Use secure FTP to mirror software images in the OpenShift Container Platform cluster nodes.

Incorrect -- OpenShift does not use FTP for image mirroring; it relies on oc mirror and image registries for air-gapped deployments.

Final Answer:

A. Configure a laptop or bastion host to use Container Application Software for Enterprises files to mirror images.

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

IBM API Connect Air-Gapped Installation Guide

IBM Container Application Software for Enterprises (CASE) Documentation

Red Hat OpenShift - Mirroring Images for Disconnected Environments

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

Starting with IBM Cloud Pak for Integration (CP4I) v2021.2, which uses IBM Common Services 3.6, there are two monitoring service modes available for tracking system health and performance:

OCP Monitoring (OpenShift Container Platform Monitoring) -- This is the native OpenShift monitoring system that provides observability for the entire cluster, including nodes, pods, and application workloads. It uses Prometheus for metrics collection and Grafana for visualization.

CS Monitoring (Common Services Monitoring) -- This is the IBM Cloud Pak for Integration-specific monitoring service, which provides additional observability features specifically for IBM Cloud Pak components. It integrates with OpenShift but focuses on Cloud Pak services and applications.

Why the other options are incorrect:

Option B (OpenShift Common Monitoring) is incorrect: While OpenShift has a Common Monitoring Stack, it is not a specific mode for IBM CP4I monitoring services. Instead, it is a subset of OCP Monitoring used for monitoring the OpenShift control plane.

Option C (CP4I Monitoring) is incorrect: There is no separate 'CP4I Monitoring' service mode. CP4I relies on OpenShift's monitoring framework and IBM Common Services monitoring.

Option E (Grafana Monitoring) is incorrect: Grafana is a visualization tool, not a standalone monitoring service mode. It is used in conjunction with Prometheus in both OCP Monitoring and CS Monitoring.

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

IBM Cloud Pak for Integration Monitoring Documentation

IBM Common Services Monitoring Overview

OpenShift Monitoring Stack -- Red Hat Documentation

IBM Cloud Pak for Integration (CP4I) licensing follows Virtual Processor Core (VPC)-based pricing, where licensing requirements differ between production and non-production environments.

For non-production environments, IBM typically requires half the number of VPC licenses compared to production environments when deploying components like API Connect, App Connect Enterprise, and IBM MQ.

This 50% reduction applies because IBM offers a non-production environment discount, which allows enterprises to use fewer VPCs for testing, development, and staging while still maintaining functionality.

Why Answer B is Correct?

IBM provides reduced VPC license requirements for non-production environments to lower costs.

The licensing ratio is generally 1:2 (Non-Production:Production), meaning the non-production environment will require half the licenses compared to production.

This policy is commonly applied to major CP4I components, including:

IBM API Connect

IBM App Connect Enterprise

IBM MQ

Explanation of Incorrect Answers:

A . The same amount Incorrect

Non-production environments typically require half the VPC licenses, not the same amount.

C . More than half as many Incorrect

IBM's standard licensing policy offers at least a 50% reduction, so this is not correct.

D . More information is needed to determine the cost. Incorrect

While pricing details depend on contract terms, IBM has a standard non-production licensing policy, making it predictable.

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

IBM Cloud Pak for Integration Licensing Guide

IBM Cloud Pak VPC Licensing

IBM MQ Licensing Details

IBM API Connect Licensing

IBM App Connect Enterprise Licensing