C1000-130 Exam Dumps : IBM Cloud Pak for Integration V2021.2 Administration

IBM Cloud Pak for Integration (CP4I) includes Confluent Platform as a key capability to support event-driven architecture and real-time data streaming. The Confluent Platform is built on Apache Kafka, providing robust event-streaming capabilities that allow organizations to collect, process, store, and manage data from multiple sources in a highly scalable and reliable manner.

This capability is essential for real-time analytics, event-driven microservices, and data integration between various applications and services. With its high-performance messaging backbone, it ensures low-latency event processing while maintaining fault tolerance and durability.

A. It provides the ability to trace transactions through IBM Cloud Pak for Integration.

Incorrect. Transaction tracing and monitoring are primarily handled by IBM Cloud Pak for Integration's API Connect, App Connect, and Instana monitoring tools, rather than Confluent Platform itself.

B. It provides a capability that allows users to store, manage, and retrieve integration assets in IBM Cloud Pak for Integration.

Incorrect. IBM Asset Repository and IBM API Connect are responsible for managing integration assets, not Confluent Platform.

C. It provides APIs to discover applications, platforms, and infrastructure in the environment.

Incorrect. This functionality is more aligned with IBM Instana, IBM Cloud Pak for Multicloud Management, or OpenShift Discovery APIs, rather than the event-streaming capabilities of Confluent Platform.

IBM Cloud Pak for Integration Documentation - Event Streams (Confluent Platform Integration)

IBM Cloud Docs

Confluent Platform Overview

Confluent Documentation

IBM Event Streams for IBM Cloud Pak for Integration

IBM Event Streams

Explanation of Other Options:References:

When installing IBM Cloud Pak for Integration (CP4I) operators via the CLI, the Operator Lifecycle Manager (OLM) requires an OperatorGroup resource before applying a Subscription.

OperatorGroup defines the scope (namespace) in which the operator will be deployed and managed.

It ensures that the operator has the necessary permissions to install and operate in the specified namespace.

Without an OperatorGroup, the subscription for ibm-cp-integration cannot be applied, and the installation will fail.

Create a new namespace (if not already created):

Why an OperatorGroup is Required:Steps for CLI Installation:oc create namespace cp4i-namespace

Create the OperatorGroup YAML (e.g., operatorgroup.yaml):

apiVersion: operators.coreos.com/v1

kind: OperatorGroup

metadata:

name: cp4i-operatorgroup

namespace: cp4i-namespace

spec:

targetNamespaces:

- cp4i-namespace

Apply it using:

oc apply -f operatorgroup.yaml

Apply the Subscription YAML for ibm-cp-integration once the OperatorGroup exists.

B. The ibm-foundational-services operator and subscription

While IBM Foundational Services is required for some Cloud Pak features, its absence does not prevent the creation of an operator subscription.

C. The platform-navigator operator and subscription

Platform Navigator is an optional component and is not required before installing the ibm-cp-integration subscription.

D. The ibm-common-services namespace

The IBM Common Services namespace is used for foundational services, but it is not required for defining an operator subscription in a new namespace.

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

IBM Cloud Pak for Integration Operator Installation Guide

Red Hat OpenShift - Operator Lifecycle Manager (OLM) Documentation

IBM Common Services and Foundational Services Overview

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.

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 Monitoring Documentation

IBM Common Services Monitoring Overview

OpenShift Monitoring Stack – Red Hat Documentation

Why the other options are incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References: