IBM Cloud Pak for Integration V2021.2 Administration C1000-130 Exam Practice Test

Answer : B

In IBM Cloud Pak for Integration (CP4I) v2021.2, licensing is based on Virtual Processor Cores (VPCs), and it includes entitlement for OpenShift usage. However, OpenShift master nodes (control plane nodes) do not consume license entitlement, because:

OpenShift licensing only applies to worker nodes.

The master nodes (control plane nodes) manage cluster operations and scheduling, but they do not run user workloads.

IBM's Cloud Pak licensing model considers only the worker nodes for licensing purposes.

Master nodes are essential infrastructure and are excluded from entitlement calculations.

IBM and Red Hat do not charge for OpenShift master nodes in Cloud Pak deployments.

Explanation of Incorrect Answers:

A . CP4I licenses include entitlement for the entire OpenShift cluster that they run on, and the administrator can count against the master nodes. Incorrect

CP4I licenses do cover OpenShift, but only for worker nodes where workloads are deployed.

Master nodes are excluded from licensing calculations.

C . The administrator will need to purchase additional OpenShift licenses to cover the master nodes. Incorrect

No additional OpenShift licenses are required for master nodes.

OpenShift licensing only applies to worker nodes that run applications.

D . CP4I licenses include entitlement for 3 cores of OpenShift per core of CP4I. Incorrect

The standard IBM Cloud Pak licensing model provides 1 VPC of OpenShift for 1 VPC of CP4I, not a 3:1 ratio.

Additionally, this applies only to worker nodes, not master nodes.

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

IBM Cloud Pak Licensing Guide

IBM Cloud Pak for Integration Licensing Details

Red Hat OpenShift Licensing Guide

Answer : C

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.

Why is the Integration Agent needed?

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.

Analysis of the Options:

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.

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

IBM App Connect Hybrid Integration Guide

Using Integration Agents for Callable Flows

IBM Cloud Pak for Integration Documentation

Answer : A, D

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

Answer : C

In IBM Cloud Pak for Integration (CP4I) v2021.2, App Connect Designer is a low-code integration tool that enables users to design and deploy integrations between applications and services. It runs as a containerized service within OpenShift.

Why Option C is Correct:

OpenShift supports multi-instance deployments, allowing users to create multiple instances of App Connect Designer within the same namespace.

This flexibility enables organizations to run separate designer instances for different projects, teams, or environments within the same namespace.

Each instance operates independently, and users can configure them with different settings and access controls.

Explanation of Incorrect Answers:

Answer : B, E

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is a critical component for monitoring cluster and application activities. To enable OpenShift Logging, two key operators must be installed:

OpenShift Logging Operator (B)

This operator is responsible for managing the logging stack in OpenShift.

It helps configure and deploy logging components like Fluentd, Kibana, and Elasticsearch within the OpenShift cluster.

It provides a unified way to collect and visualize logs across different workloads.

OpenShift Elasticsearch Operator (E)

This operator manages the Elasticsearch cluster, which is the central data store for log aggregation in OpenShift.

Elasticsearch stores logs collected from cluster nodes and applications, making them searchable and analyzable via Kibana.

Without this operator, OpenShift Logging cannot function, as it depends on Elasticsearch for log storage.

Explanation of Incorrect Answers:

A . OpenShift Console Operator Incorrect

The OpenShift Console Operator manages the web UI of OpenShift but has no role in logging.

It does not collect, store, or manage logs.

C . OpenShift Log Collector Incorrect

There is no official OpenShift component or operator named 'OpenShift Log Collector.'

Log collection is handled by Fluentd, which is managed by the OpenShift Logging Operator.

D . OpenShift Centralized Logging Operator Incorrect

This is not a valid OpenShift operator.

The correct operator for centralized logging is OpenShift Logging Operator.

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

OpenShift Logging Overview

OpenShift Logging Operator Documentation

OpenShift Elasticsearch Operator Documentation

IBM Cloud Pak for Integration Logging Configuration

Answer : C

In Red Hat OpenShift GitOps, which is based on ArgoCD, the deployment process is centered around Git repositories. The framework typically uses at least two repositories:

Application Repository -- Contains the source code, manifests, and configurations for the application itself.

Environment Configuration Repository (Correct Answer) -- Stores Kubernetes/OpenShift manifests, Helm charts, Kustomize overlays, or other deployment configurations for different environments (e.g., Dev, Test, Prod).

This separation of concerns ensures that:

Developers manage application code separately from infrastructure and deployment settings.

GitOps principles are applied, enabling automated deployments based on repository changes.

The Environment Configuration Repository serves as the single source of truth for deployment configurations.

Why the Other Options Are Incorrect?

Option

Explanation

Correct?

A . Nexus

Incorrect -- Nexus is a repository manager for storing binaries, artifacts, and dependencies (e.g., Docker images, JAR files), but it is not a GitOps repository.

B . Ansible configuration

Incorrect -- While Ansible can manage infrastructure automation, OpenShift GitOps primarily uses Kubernetes manifests, Helm, or Kustomize for deployment configurations.

D . Maven

Incorrect -- Maven is a build automation tool for Java applications, not a repository type used in GitOps workflows.

Final Answer:

C. Environment configuration

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

Red Hat OpenShift GitOps Documentation

IBM Cloud Pak for Integration and OpenShift GitOps

ArgoCD Best Practices for GitOps

Answer : D

IBM Cloud Pak for Integration (CP4I) relies on IBM Common Services for authentication, licensing, and other foundational functionalities. The License Service API is a key component that enables the monitoring and reporting of software license usage across the cluster.

Authentication to the License Service API

To authenticate to the IBM License Service APIs, a token is required, which is stored in the ibm-licensing-token secret within the ibm-common-services namespace (where IBM Common Services are installed).

When Cloud Pak for Integration (installed in the cp4i namespace) needs to interact with the License Service API, it retrieves the authentication token from this secret in the ibm-common-services namespace.

Why is Option D Correct?

The ibm-licensing-token secret is automatically created in the ibm-common-services namespace when the IBM License Service is deployed.

This token is required for authentication when querying licensing information via the License Service API.

Since IBM Common Services are installed in ibm-common-services, and the licensing service is part of these foundational services, authentication tokens are stored in this namespace rather than the cp4i namespace.

Analysis of Other Options:

Option

Correct/Incorrect

Reason

A . A token available in ibm-licensing-token secret in the cp4i namespace.

Incorrect

The licensing token is stored in the ibm-common-services namespace, not in cp4i.

B . A password available in platform-auth-idp-credentials in the ibm-common-services namespace.

Incorrect

This secret is related to authentication for the IBM Identity Provider (OIDC) and is not used for licensing authentication.

C . A password available in ibm-entitlement-key in the cp4i namespace.

Incorrect

The ibm-entitlement-key is used for accessing IBM Container Registry to pull images, not for licensing authentication.

D . A token available in ibm-licensing-token secret in the ibm-common-services namespace.

Correct

This is the correct secret that contains the required token for authentication to the License Service API.

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

IBM Documentation: IBM License Service Authentication and Tokens

IBM Knowledge Center: Managing License Service in OpenShift

IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide