Practice Free C1000-130 IBM Cloud Pak for Integration V2021.2 Administration Exam Questions Answers With 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.

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.

Why Tekton is Used in OpenShift Pipelines?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!"

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.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration CI/CD Pipelines

Red Hat OpenShift Pipelines (Tekton)

Tekton Pipelines Documentation

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

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 API Connect Air-Gapped Installation Guide

IBM Container Application Software for Enterprises (CASE) Documentation

Red Hat OpenShift - Mirroring Images for Disconnected Environments

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

The monitoring component of IBM Cloud Pak for Integration (CP4I) v2021.2 is built on Prometheus and Grafana. These tools are widely used for monitoring and visualization in Kubernetes-based environments like OpenShift.

Prometheus – A time-series database designed for monitoring and alerting. It collects metrics from different services and components running within CP4I, enabling real-time observability.

Grafana – A visualization tool that integrates with Prometheus to create dashboards for monitoring system performance, resource utilization, and application health.

A. Jaeger ? Incorrect. Jaeger is used for distributed tracing, not core monitoring.

D. Logstash ? Incorrect. Logstash is used for log processing and forwarding, primarily in ELK stacks.

E. Kibana ? Incorrect. Kibana is a visualization tool but is not the primary monitoring tool in CP4I; Grafana is used instead.

IBM Cloud Pak for Integration Monitoring Documentation

Prometheus Official Documentation

Grafana Official Documentation

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, the Automation Assets Deployment capability is designed to help users efficiently manage integration assets within the Cloud Pak environment. This capability provides a centralized repository where users can store, manage, retrieve, and search for integration assets that are essential for automation and integration processes.

Option A is incorrect: The Automation Assets Deployment feature is not a streaming platform for managing data from multiple sources. Streaming platforms, such as IBM Event Streams, are used for real-time data ingestion and processing.

Option B is incorrect: Similar to Option A, this feature does not focus on data streaming or management from a single source but rather on handling integration assets.

Option C is correct: The Automation Assets Deployment capability provides a comprehensive solution for storing, managing, retrieving, and searching integration-related assets within IBM Cloud Pak for Integration. It enables organizations to reuse and efficiently deploy integration components across different services.

Option D is incorrect: While this capability allows for storing and managing assets, it also provides retrieval and search functionality, making Option C the more accurate choice.

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

IBM Cloud Pak for Integration Documentation

IBM Cloud Pak for Integration Automation Assets Overview

IBM Knowledge Center – Managing Automation Assets

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, administrators often need to retrieve logs from pods to diagnose issues or monitor application behavior. The correct OpenShift CLI (oc) command to retrieve logs from a specific pod is:

sh

CopyEdit

oc logs

This command fetches the logs of a running container within the specified pod. If a pod has multiple containers, the -c flag is used to specify the container name:

sh

CopyEdit

oc logs -c

A. oc get logs ? Incorrect. The oc get command is used to list resources (such as pods, deployments, etc.), but it does not retrieve logs.

C. oc describe ? Incorrect. This command provides detailed information about a pod, including events and status, but not logs.

D. oc retrieve logs ? Incorrect. There is no such command in OpenShift CLI.

IBM Cloud Pak for Integration Logging and Monitoring

Red Hat OpenShift CLI (oc) Reference

IBM Cloud Pak for Integration Troubleshooting

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

In IBM Cloud Pak for Integration (CP4I), the Operations Dashboard provides visibility into API and application performance by collecting and analyzing tracing data. The Sampling Policy is a configurable setting that determines the percentage of traces that are sampled, collected, and stored for analysis.

Tracing all requests can be resource-intensive, so a sampling policy allows administrators to control how much trace data is captured, balancing observability with system performance.

Sampling can be random (e.g., capture 10% of requests) or rule-based (e.g., capture only slow or error-prone transactions).

Administrators can configure trace sampling rates based on workload needs.

A higher sampling rate captures more traces, useful for debugging but may increase storage and processing overhead.

A lower sampling rate reduces storage but might miss some performance insights.

How the Sampling Policy Works:

A. Sampling policy (Correct) ?

The sampling policy is the correct setting that defines how traces are collected and stored in the Operations Dashboard.

B. Sampling context (Incorrect) ?

No such configuration exists in CP4I. The term "context" is generally used for metadata about a trace, not for controlling sampling rates.

C. Tracing policy (Incorrect) ?

While tracing policies define whether tracing is enabled, they do not directly configure trace sampling rates.

D. Trace context (Incorrect) ?

Trace context refers to the metadata attached to traces (such as trace IDs), but it does not determine the percentage of traces sampled.

Analysis of the Options:

IBM API Connect and Operations Dashboard - Tracing Configuration

IBM Cloud Pak for Integration - Distributed Tracing Guide

OpenTelemetry and Sampling Policy for IBM Cloud Pak

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

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:

Uninstalling IBM Cloud Pak for Integration (CP4I) v2021.2 requires removing the operators, instances, and related resources from the OpenShift cluster. One method to achieve this is through the OpenShift console, which provides a graphical interface for managing operators and deployments.

The OpenShift Web Console allows administrators to:

Navigate to Operators ? Installed Operators and remove CP4I-related operators.

Delete all associated custom resources (CRs) and namespaces where CP4I was deployed.

Ensure that all PVCs (Persistent Volume Claims) and secrets associated with CP4I are also deleted.

This is an officially supported method for uninstalling CP4I in OpenShift environments.

Why Option D (OpenShift Console) is Correct:

A. Uninstall.sh ? ? Incorrect

There is no official Uninstall.sh script provided by IBM for CP4I removal.

IBM’s documentation recommends manual removal through OpenShift.

B. Cloud Pak for Integration console ? ? Incorrect

The CP4I console is used for managing integration components but does not provide an option to uninstall CP4I itself.

C. Operator Catalog ? ? Incorrect

The Operator Catalog lists available operators but does not handle uninstallation.

Operators need to be manually removed via the OpenShift Console or CLI.

Explanation of Incorrect Answers:

Uninstalling IBM Cloud Pak for Integration

OpenShift Web Console - Removing Installed Operators

Best Practices for Uninstalling Cloud Pak on OpenShift

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

When upgrading IBM Cloud Pak for Integration (CP4I) and switching from Common Services (CS) monitoring to OpenShift monitoring, it is crucial to determine whether CS monitoring is currently enabled.

The correct command to check this is:

sh

CopyEdit

oc get pods -n ibm-common-services | grep monitoring

This command (oc get pods -n ibm-common-services) lists all pods in the ibm-common-services namespace, which is where IBM Common Services (including monitoring components) are deployed.

Using grep monitoring filters the output to show only the monitoring-related pods.

If monitoring-related pods are running in this namespace, it confirms that CS monitoring is enabled.

B (oc list pods -A | grep -i monitoring) – Incorrect

The oc list pods command does not exist in OpenShift CLI. The correct command to list all pods across all namespaces is oc get pods -A.

C (oc describe pods/ibm-common-services | grep monitoring) – Incorrect

oc describe pods/ibm-common-services is not a valid OpenShift command. The correct syntax would be oc describe pod -n ibm-common-services, but this only provides details of a specific pod, not a general check for monitoring pods.

D (oc get containers -A) – Incorrect

The oc get containers command is not valid in OpenShift CLI. Instead, oc get pods -A lists all pods, but it does not specifically filter monitoring-related services in the ibm-common-services namespace.

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

IBM Documentation: Monitoring IBM Cloud Pak foundational services

IBM Cloud Pak for Integration: Disabling foundational services monitoring

OpenShift Documentation: Managing Pods in OpenShift

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on OpenShift, administrators often need to check the current cluster version and available updates before performing an upgrade.

The correct command to display the current OpenShift cluster version and check for available updates is:

oc adm upgrade

This command provides information about:

The current OpenShift cluster version.

Whether a newer version is available for upgrade.

The channel and upgrade path.

A. update – Incorrect

There is no oc update or update command in OpenShift CLI for checking cluster versions.

C. adm update – Incorrect

oc adm update is not a valid command in OpenShift. The correct subcommand is adm upgrade.

D. upgrade – Incorrect

oc upgrade is not a valid OpenShift CLI command. The correct syntax requires adm upgrade.

Why the other options are incorrect:

Example Output of oc adm upgrade:$ oc adm upgrade

Cluster version is 4.10.16

Updates available:

Version 4.11.0

Version 4.11.1

OpenShift Cluster Upgrade Documentation

IBM Cloud Pak for Integration OpenShift Upgrade Guide

Red Hat OpenShift CLI Reference

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

In IBM App Connect, which is part of IBM Cloud Pak for Integration (CP4I), callable flows enable integration between different environments, including on-premises systems and cloud-based integration solutions deployed in an OpenShift cluster.

To facilitate this connectivity, two critical resources are used:

The Connectivity Agent acts as a bridge between cloud-hosted App Connect instances and on-premises integration servers.

It enables secure bidirectional communication by allowing callable flows to connect between cloud-based and on-premise integration servers.

This is essential for hybrid cloud integrations, where some components remain on-premises for security or compliance reasons.

The Routing Agent directs incoming callable flow requests to the appropriate App Connect integration server based on configured routing rules.

It ensures low-latency and efficient message routing between cloud and on-premise systems, making it a key component for hybrid integrations.

1. Connectivity Agent (? Correct Answer)2. Routing Agent (? Correct Answer)

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. Sync server

? Incorrect – There is no "Sync Server" component in IBM App Connect. Synchronization happens through callable flows, but not via a "Sync Server".

?

C. Kafka sync

? Incorrect – Kafka is used for event-driven messaging, but it is not required for callable flows between cloud and on-premises environments.

?

D. Switch server

? Incorrect – No such component called "Switch Server" exists in App Connect.

?

Final Answer:? B. Connectivity agent? E. Routing agent

IBM App Connect - Callable Flows Documentation

IBM Cloud Pak for Integration - Hybrid Connectivity with Connectivity Agents

IBM App Connect Enterprise - On-Premise and Cloud Integration

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, the IBM License Service collects and retains license usage data for a default period of 90 days. This data is crucial for auditing and compliance, ensuring that software usage aligns with licensing agreements.

The IBM License Service continuously collects and stores licensing data.

By default, it retains data for 90 days before older data is automatically removed.

Users can query and retrieve usage reports from this 90-day period.

The License Service supports regulatory compliance by ensuring transparent tracking of software usage.

B. The full period from the deployment – Incorrect. The License Service does not retain data indefinitely; it follows a rolling 90-day retention policy.

C. 30 days – Incorrect. The default retention period is longer than 30 days.

D. 60 days – Incorrect. The default is 90 days, not 60.

IBM License Service Documentation

IBM Cloud Pak for Integration v2021.2 – Licensing Guide

IBM Support – License Service Data Retention Policy

Key Details About the IBM License Service Data Retention:Why Not the Other Options?IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References

Upgrading the operator

If asked, approve the install plan

Upgrading the operand

Upgrading the traced integration capabilities

1?? Upgrade operator using Operator Lifecycle Manager.

The Operator Lifecycle Manager (OLM) manages the upgrade of the Operations Dashboard operator in OpenShift.

This ensures that the latest version is available for managing operands.

2?? If asked, approve the Install Plan.

Some installations require manual approval of the Install Plan to proceed with the operator upgrade.

If configured for automatic updates, this step may not be required.

3?? Upgrade the operand.

Once the operator is upgraded, the operand (Operations Dashboard instance) needs to be updated to the latest version.

This step ensures that the upgraded operator manages the most recent operand version.

4?? Upgrade traced integration capabilities.

Finally, upgrade any traced integration capabilities that depend on the Operations Dashboard.

This step ensures compatibility and full functionality with the updated components.

In IBM Cloud Pak for Integration (CP4I) v2021.2, the Operations Dashboard provides tracing and monitoring for integration capabilities. The correct upgrade sequence ensures a smooth transition with minimal downtime:

Upgrade the Operator using OLM – The Operator manages operands and must be upgraded first.

Approve the Install Plan (if required) – Some operator updates require manual approval before proceeding.

Upgrade the Operand – The actual Operations Dashboard component is upgraded after the operator.

Upgrade Traced Integration Capabilities – Ensures all monitored services are compatible with the new Operations Dashboard version.

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

Upgrading Operators using Operator Lifecycle Manager (OLM)

IBM Cloud Pak for Integration Operations Dashboard

Best Practices for Upgrading CP4I Components

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is managed through the OpenShift Logging Operator. This operator is responsible for collecting, storing, and forwarding logs within the cluster.

The OpenShift Logging Operator monitors a specific Custom Resource (CR) named ClusterLogging, which defines the logging stack configuration.

The ClusterLogging CR is used to configure and manage the cluster-wide logging stack, including components like:

Fluentd (Log collection and forwarding)

Elasticsearch (Log storage and indexing)

Kibana (Log visualization)

Administrators define log collection, storage, and forwarding settings using this CR.

How the ClusterLogging Custom Resource Works:Example of a ClusterLogging CR Definition:apiVersion: logging.openshift.io/v1

kind: ClusterLogging

metadata:

name: instance

namespace: openshift-logging

spec:

managementState: Managed

logStore:

type: elasticsearch

retentionPolicy:

application:

maxAge: 7d

collection:

type: fluentd

This configuration sets up an Elasticsearch-based log store with Fluentd as the log collector.

The OpenShift Logging Operator monitors the ClusterLogging CR to manage logging settings.

It defines how logs are collected, stored, and forwarded across the cluster.

IBM Cloud Pak for Integration uses this CR when integrating OpenShift’s logging system.

Why Answer A (ClusterLogging) is Correct?

B. DefaultLogging ? Incorrect

There is no such resource named DefaultLogging in OpenShift.

The correct resource is ClusterLogging.

C. ElasticsearchLog ? Incorrect

Elasticsearch is the default log store, but it is managed within ClusterLogging, not as a separate CR.

D. LoggingResource ? Incorrect

This is not an actual OpenShift CR related to logging.

Explanation of Incorrect Answers:

OpenShift Logging Overview

Configuring OpenShift Cluster Logging

IBM Cloud Pak for Integration - Logging and Monitoring

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, the Ingress Controller is responsible for managing external access to services running within the cluster. The Ingress Controller certificate ensures secure communication between clients and the OpenShift cluster.

A. The administrator can specify a custom certificate at a later time. ?

OpenShift allows administrators to replace the default self-signed certificate with a custom TLS certificate at any time.

This is typically done using a Secret in the appropriate namespace and updating the IngressController resource.

Example command to update the Ingress Controller certificate:

Explanation of Correct Answers:oc create secret tls my-custom-cert --cert=custom.crt --key=custom.key -n openshift-ingress

oc patch ingresscontroller default -n openshift-ingress-operator --type=merge -p '{"spec":{"defaultCertificate":{"name":"my-custom-cert"}}}'

This ensures secure access with a trusted certificate instead of the default self-signed certificate.

C. By default, OpenShift uses an internal self-signed certificate. ?

If no custom certificate is provided, OpenShift automatically generates and assigns a self-signed certificate for the Ingress Controller.

This certificate is not trusted by browsers or external clients and typically causes SSL/TLS warnings unless replaced.

B. The Ingress Controller does not support the use of a custom certificate. ? Incorrect

OpenShift fully supports custom certificates for the Ingress Controller, allowing secure TLS communication.

D. By default, OpenShift does not use any certificate if one is not applied during the initial setup. ? Incorrect

OpenShift always generates a default self-signed certificate if no custom certificate is provided.

E. Certificate assignment is only applicable during initial setup. ? Incorrect

Custom certificates can be assigned at any time, not just during initial setup.

Explanation of Incorrect Answers:

OpenShift Ingress Controller TLS Configuration

IBM Cloud Pak for Integration Security Configuration

Managing OpenShift Cluster Certificates

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

In IBM Cloud Pak for Integration (CP4I), IBM MQ Native High Availability (NativeHA) is a feature that enables automated failover and redundancy by maintaining multiple replicas of an MQ queue manager.

When using NativeHA, licensing in CP4I is calculated based on the total number of VPCs (Virtual Processor Cores) consumed by all MQ instances, including both active and standby replicas.

IBM MQ NativeHA uses a multi-replica setup, meaning there are multiple queue manager instances running simultaneously for redundancy.

Licensing in CP4I is based on the total CPU consumption of all running MQ replicas, not just the active instance.

Therefore, the administrator must ensure that all HA replicas are accounted for in their license entitlement.

Why Option B is Correct:

A. No licenses, because only RDQM is supported on CP4I. (Incorrect)

IBM MQ NativeHA is fully supported on CP4I alongside RDQM (Replicated Data Queue Manager). NativeHA is actually preferred over RDQM in containerized OpenShift environments.

C. A different license from the standard CP4I license must be purchased from IBM to use the NativeHA feature. (Incorrect)

No separate license is required for NativeHA – it is covered under the CP4I licensing model.

D. The administrator can use their pool of CP4I licenses. (Incorrect)

Partially correct but incomplete – while the administrator can use their CP4I licenses, they must ensure that all HA replicas are included in the license calculation, not just the active instance.

Analysis of the Incorrect Options:

IBM MQ Native High Availability Licensing

IBM Cloud Pak for Integration Licensing Guide

IBM MQ on CP4I - Capacity Planning and Licensing

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

IBM Cloud Pak for Integration (CP4I) v2021.2 relies on IBM Cloud Pak Foundational Services, which was previously known as IBM Common Services. Upgrading from the Extended Update Support (EUS) version (3.6.x) to a continuous delivery version (3.7.x or later) requires following IBM's recommended upgrade paths. The two valid options are:

Using IBM's provided script (Option D):

IBM provides a script specifically designed to upgrade Cloud Pak Foundational Services from an EUS version to a later continuous delivery (CD) version.

This script automates the necessary upgrade steps and ensures dependencies are properly handled.

IBM's official documentation includes the script download links and usage instructions.

Using the IBM Cloud Pak Foundational Services operator update button (Option E):

The IBM Cloud Pak Foundational Services operator in the OpenShift web console provides an update button that allows administrators to upgrade services.

This method is recommended by IBM for in-place upgrades, ensuring minimal disruption while moving from 3.6.x to a later version.

The upgrade process includes rolling updates to maintain high availability.

Option A (Click the Update button on the Details page of the common-services operand):

There is no direct update button at the operand level that facilitates the entire upgrade from EUS to CD versions.

The upgrade needs to be performed at the operator level, not just at the operand level.

Option B (Select the Update Common Services option from the Cloud Pak Administration Hub console):

The Cloud Pak Administration Hub does not provide a direct update option for Common Services.

Updates are handled via OpenShift or IBM’s provided scripts.

Option C (Use the OpenShift web console to change the operator channel from stable-v1 to v3):

Simply changing the operator channel does not automatically upgrade from an EUS version to a continuous delivery version.

IBM requires following specific upgrade steps, including running a script or using the update button in the operator.

Incorrect Options and Justification:

IBM Cloud Pak Foundational Services Upgrade Documentation:

IBM Official Documentation

IBM Cloud Pak for Integration v2021.2 Knowledge Center

IBM Redbooks and Technical Articles on CP4I Administration

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, administrators often need to interact with running containers for troubleshooting, debugging, or configuration changes. The correct command to attach the shell to a running container is:

oc attach -c

This command connects the user to the standard input (stdin), output (stdout), and error (stderr) streams of the specified container inside a pod.

Alternatively, for interactive shell access, administrators can use:

oc exec -it -c -- /bin/sh

or

oc exec -it -c -- /bin/bash

if the container supports Bash.

A. run ? ? Incorrect

The oc run command creates a new pod rather than attaching to an existing running container.

C. connect ? ? Incorrect

There is no oc connect command in OpenShift or Kubernetes for attaching to a container shell.

D. shell ? ? Incorrect

OpenShift and Kubernetes do not have a shell command for connecting to a running container.

Instead, the oc exec command is used to start an interactive shell session inside a container.

Explanation of Incorrect Answers:

OpenShift CLI (oc) Command Reference

IBM Cloud Pak for Integration Troubleshooting Guide

Kubernetes attach vs exec Commands

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

In IBM App Connect, when integrating flows across a hybrid environment (a combination of cloud and on-premises systems), an Integration Agent is required to enable callable flows.

Callable flows allow one integration flow to invoke another flow that may be running in a different environment (on-premises or cloud).

The Integration Agent acts as a bridge between IBM App Connect Designer (cloud-based) or App Connect Dashboard and the on-premises resources.

It ensures secure and reliable communication between different environments.

Option A (Incorrect – Switch server): No such component is needed in App Connect for hybrid integrations.

Option B (Incorrect – Mapping assist): This is used for transformation support but does not enable cross-environment callable flows.

Option C (Correct – Integration agent): The Integration Agent is specifically designed to support callable flows across hybrid environments.

Option D (Incorrect – Kafka): While Kafka is useful for event-driven architectures, it is not required for invoking callable flows between App Connect instances.

Why is the Integration Agent needed?Analysis of the Options:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

IBM App Connect Hybrid Integration Guide

Using Integration Agents for Callable Flows

IBM Cloud Pak for Integration Documentation

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:

jsonpath='{.status.channels[*].name}'

performs the following actions:

oc get packagemanifest ? Retrieves the package manifest information for operators installed on the OpenShift cluster.

-n ibm-common-services ? Specifies the namespace where IBM Common Services are installed.

ibm-common-service-operator ? Targets the IBM Common Service Operator, which manages foundational services for Cloud Pak for Integration.

-o jsonpath='{.status.channels[*].name}' ? Extracts and displays the available upgrade channels from the operator’s status field in JSON format.

The IBM Common Service Operator is part of Cloud Pak for Integration Foundational Services.

The status.channels[*].name field lists the available upgrade channels (e.g., stable, v1, latest).

This command helps administrators determine which upgrade paths are available for foundational services.

Why Answer A is Correct:

B. It displays the status and names of channels in the default queue manager. ? Incorrect

This command is not related to IBM MQ queue managers.

It queries package manifests for IBM Common Services operators, not queue managers.

C. It retrieves a manifest of services packaged in Cloud Pak for Integration operators. ? Incorrect

The command does not return a full list of services; it only displays upgrade channels.

D. It returns an operator package manifest in a JSON structure. ? Incorrect

The command outputs only the names of upgrade channels in plain text, not the full JSON structure of the package manifest.

Explanation of Incorrect Answers:

IBM Cloud Pak Foundational Services Overview

OpenShift PackageManifest Command Documentation

IBM Common Service Operator Details

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

In IBM API Connect, which is part of IBM Cloud Pak for Integration (CP4I), the Management subsystem requires block storage with ReadWriteOnce (RWO) access mode.

The API Connect Management subsystem handles API lifecycle management, analytics, and policy enforcement.

It requires high-performance, low-latency storage, which is best provided by block storage.

The RWO (ReadWriteOnce) access mode ensures that each persistent volume (PV) is mounted by only one node at a time, preventing data corruption in a clustered environment.

IBM Cloud Block Storage

AWS EBS (Elastic Block Store)

Azure Managed Disks

VMware vSAN

Why "RWO Block Storage" is Required?Common Block Storage Options for API Connect on OpenShift:

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. NFS

? Incorrect – Network File System (NFS) is a shared file storage (RWX) and does not provide the low-latency performance needed for the Management subsystem.

?

B. RWX block storage

? Incorrect – RWX (ReadWriteMany) block storage is not supported because it allows multiple nodes to mount the volume simultaneously, leading to data inconsistency for API Connect.

?

D. GlusterFS

? Incorrect – GlusterFS is a distributed file system, which is not recommended for API Connect’s stateful, performance-sensitive components.

?

Final Answer:? C. RWO block storage

IBM API Connect System Requirements

IBM Cloud Pak for Integration Storage Recommendations

Red Hat OpenShift Storage Documentation

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

Within IBM Cloud Pak for Integration (CP4I) v2021.2, IBM MQ is a key messaging component that ensures reliable, secure, and auditable message delivery between applications and services. It is designed to facilitate enterprise messaging by guaranteeing message delivery, supporting transactional integrity, and providing end-to-end security features.

IBM MQ within CP4I provides the following capabilities:

Secure Messaging – Messages are encrypted in transit and at rest, ensuring that sensitive data is protected.

Auditable Transactions – IBM MQ logs all transactions, allowing for traceability, compliance, and recovery in the event of failures.

High Availability & Scalability – Can be deployed in containerized environments using OpenShift and Kubernetes, supporting both on-premises and cloud-based workloads.

Integration Across Multiple Environments – Works across different operating systems, cloud providers, and hybrid infrastructures.

Option A (Works with a limited range of computing platforms) – Incorrect: IBM MQ is platform-agnostic and supports multiple operating systems (Windows, Linux, z/OS) and cloud environments (AWS, Azure, Google Cloud, IBM Cloud).

Option B (A versatile messaging integration from mainframe to cluster) – Incorrect: While IBM MQ does support messaging from mainframes to distributed environments, this option does not fully highlight its primary function of secure and auditable messaging.

Option C (Cannot be deployed across a range of different environments) – Incorrect: IBM MQ is highly flexible and can be deployed on-premises, in hybrid cloud, or in fully managed cloud services like IBM MQ on Cloud.

IBM MQ Overview

IBM Cloud Pak for Integration Documentation

IBM MQ Security and Compliance Features

IBM MQ Deployment Options

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

Single Sign-On (SSO) is an authentication mechanism that allows users to log in once and gain access to multiple applications without re-entering credentials. In IBM Cloud Pak for Integration (CP4I), Enterprise LDAP and OpenShift authentication both support SSO.

Enterprise LDAP (B) – ? Supports SSO

Lightweight Directory Access Protocol (LDAP) is commonly used in enterprises for centralized authentication.

CP4I can integrate with Enterprise LDAP, allowing users to authenticate once and access multiple cloud services without needing separate logins.

OpenShift Authentication (E) – ? Supports SSO

OpenShift provides OAuth-based authentication, enabling SSO across multiple OpenShift-integrated services.

CP4I uses OpenShift’s built-in identity provider to allow seamless user authentication across different Cloud Pak components.

A. 2FA (Incorrect):

Two-Factor Authentication (2FA) enhances security by requiring an additional verification step but does not inherently support SSO.

C. Plain Text over HTTPS (Incorrect):

Plain text authentication is insecure and does not support SSO.

D. Enterprise SSH (Incorrect):

SSH authentication is used for remote access to servers but is not related to SSO.

Analysis of the Incorrect Options:

IBM Cloud Pak for Integration Authentication & SSO Guide

Red Hat OpenShift Authentication and Identity Providers

IBM Cloud Pak - Integrating with Enterprise LDAP

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, profiles define the resource allocation and configuration settings for deployed services. When creating a second medium-size profile, the system will allocate the resources according to the medium-size specifications, without affecting the first profile.

IBM Cloud Pak for Integration supports multiple profiles, each with its own resource allocation.

When a second medium-size profile is created, it is independently assigned the medium-size configuration without modifying the existing profiles.

This allows multiple services to run with similar resource constraints but remain separately managed.

Why Option B is Correct:

A. The first profile will be replaced by the second profile. ? ? Incorrect

Creating a new profile does not replace an existing profile; each profile is independent.

C. The first profile will be re-configured with a medium size. ? ? Incorrect

The first profile remains unchanged. A second profile does not modify or reconfigure an existing one.

D. The second profile will be configured with a large size. ? ? Incorrect

The second profile will retain the specified medium size and will not be automatically upgraded to a large size.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration Sizing and Profiles

Managing Profiles in IBM Cloud Pak for Integration

OpenShift Resource Allocation for CP4I

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, IBM MQ provides multiple high-availability (HA) deployment options. A multi-instance queue manager consists of a pair of pods:

One active queue manager (handling message processing).

One standby queue manager (ready to take over if the active instance fails).

The standby instance continuously monitors the active queue manager, and if it detects a failure, it automatically takes over, ensuring minimal downtime and high availability.

A. Native HA – Incorrect

Native HA (Highly Available) queue managers use persistent storage and multiple replicas for redundancy but do not rely on an active-standby pod setup. Instead, they use Raft consensus for leader election and failover.

They are different from multi-instance queue managers, which explicitly have one active and one standby pod.

C. Single Resilient – Incorrect

A Single Resilient queue manager has only one instance running and recovers using persistent storage, but it does not have a standby pod for immediate failover.

D. Replicated Data – Incorrect

"Replicated Data" is not a specific IBM MQ HA mode. Instead, Native HA queue managers use replicated data across multiple pods to ensure resilience.

Why the other options are incorrect:

IBM MQ Multi-Instance Queue Manager Documentation

IBM Cloud Pak for Integration – High Availability Configurations

OpenShift Deployment of IBM MQ

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, ensuring high availability (HA) requires certain components to maintain a quorum. A quorum is a mechanism where a majority of nodes or instances must agree on a state to prevent split-brain scenarios and ensure consistency.

IBM MQ Multi-instance Queue Manager is designed for high availability.

It runs in an active-standby configuration where a shared storage is required, and a quorum ensures that failover occurs correctly.

If the primary queue manager fails, quorum logic ensures that another instance assumes control without data corruption.

API Connect operates in a distributed cluster architecture where multiple components (such as the API Manager, Analytics, and Gateway) work together.

A quorum is required to ensure consistency and avoid conflicts in API configurations across multiple instances.

API Connect uses MongoDB as its backend database, and MongoDB requires a replica set quorum for high availability and failover.

Why "Multi-instance Queue Manager" (A) Requires a Quorum?Why "API Management (API Connect)" (B) Requires a Quorum?

Why Not the Other Options?Option

Reason for Exclusion

C. Application Integration (App Connect)

While App Connect can be deployed in HA mode, it does not require a quorum. It uses Kubernetes scaling and load balancing instead.

D. Event Gateway Service

Event Gateway is stateless and relies on horizontal scaling rather than quorum-based HA.

E. Automation Assets

This component stores automation-related assets but does not require quorum for HA. It typically relies on persistent storage replication.

Thus, Multi-instance Queue Manager (IBM MQ) and API Management (API Connect) require quorum to ensure high availability in Cloud Pak for Integration.

IBM MQ Multi-instance Queue Manager HA

IBM API Connect High Availability and Quorum

CP4I High Availability Architecture

MongoDB Replica Set Quorum in API Connect

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