Pass the IBM Certified Administrator - Cloud Pak for Integration V2021.2 C1000-130 Questions and answers with ExamsMirror

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:

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is handled using the OpenShift Logging Operator, which often utilizes Elasticsearch as the log storage backend.

For a highly available (HA) Elasticsearch cluster, the minimum number of nodes required is 3.

Elasticsearch uses a quorum-based system for cluster state management.

A minimum of three nodes ensures that the cluster can maintain a quorum in case one node fails.

HA requires at least two master-eligible nodes, and with three nodes, the system can elect a new master if the active one fails.

Replication across three nodes prevents data loss and improves fault tolerance.

Why Are 3 Elasticsearch Nodes Required for High Availability?Example Elasticsearch Deployment for HA:A standard HA Elasticsearch setup consists of:

3 master-eligible nodes (manage cluster state).

At least 2 data nodes (store logs and allow redundancy).

Optional client nodes (handle queries to offload work from data nodes).

Ensures HA by allowing Elasticsearch to withstand node failures without loss of cluster control.

Prevents split-brain scenarios, which occur when an even number of nodes (e.g., 2) cannot reach a quorum.

Recommended by IBM and Red Hat for OpenShift logging solutions.

Why Answer C (3) is Correct?

A. 1 → Incorrect

A single-node Elasticsearch deployment is not HA because if the node fails, all logs are lost.

B. 2 → Incorrect

Two nodes cannot form a quorum, meaning the cluster cannot elect a leader reliably.

This could lead to split-brain scenarios or a complete failure when one node goes down.

D. 7 → Incorrect

While a larger cluster (e.g., 7 nodes) improves scalability and performance, it is not the minimum requirement for HA.

Three nodes are sufficient for high availability.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration Logging and Monitoring

OpenShift Logging Operator - Elasticsearch Deployment

Elasticsearch High Availability Best Practices

IBM OpenShift Logging Solution Architecture

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

When replacing the default ingress certificate in IBM Cloud Pak for Integration (CP4I) v2021.2, one critical requirement is that the private key associated with the new certificate must be unencrypted.

OpenShift’s Ingress Controller (which CP4I uses) requires an unencrypted private key to properly load and use the custom TLS certificate.

Encrypted private keys would require manual decryption each time the ingress controller starts, which is not supported for automation.

The custom certificate and its key are stored in a Kubernetes secret, which already provides encryption at rest, making additional encryption unnecessary.

Why Option A (Unencrypted Private Key) is Correct:To apply a new custom certificate for ingress, the process typically involves:

Creating a Kubernetes secret containing the unencrypted private key and certificate:

sh

CopyEdit

oc create secret tls custom-ingress-cert \

--cert=custom.crt \

--key=custom.key -n openshift-ingress

Updating the OpenShift Ingress Controller configuration to use the new secret.

B. The certificate file must have only a single certificate. → ❌ Incorrect

The certificate file can contain a certificate chain, including intermediate and root certificates, to ensure proper validation by clients.

It is not limited to a single certificate.

C. The new certificate private key must be encrypted. → ❌ Incorrect

If the private key is encrypted, OpenShift cannot automatically use it without requiring a decryption passphrase, which is not supported for automated deployments.

D. The new certificate must be a self-signed certificate. → ❌ Incorrect

While self-signed certificates can be used, they are not mandatory.

Administrators typically use certificates from trusted Certificate Authorities (CAs) to avoid browser security warnings.

Explanation of Incorrect Answers:

Replacing the default ingress certificate in OpenShift

IBM Cloud Pak for Integration Security Configuration

OpenShift Ingress TLS Certificate Management

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, the Automation Assets (formerly known as Asset Repository) is managed through the IBM Automation Foundation Assets Operator. When manually upgrading Automation Assets, you need to update the Custom Resource (CR) associated with the Asset Repository.

The correct approach to manually upgrading the Automation Assets CR is to:

Navigate to the OpenShift Web Console.

Go to Operators → Installed Operators.

Find and select IBM Automation Foundation Assets Operator.

Locate the Asset Repository operand managed by this operator.

Edit the YAML definition of the Asset Repository CR to reflect the new version or required configuration changes.

Save the changes, which will trigger the update process.

This approach ensures that the Automation Assets component is upgraded correctly without disrupting the overall IBM Cloud Pak for Integration environment.

B. In OpenShift web console, navigate to the OperatorHub and edit the Automation foundation assets definition.

The OperatorHub is used for installing and subscribing to operators but does not provide direct access to modify Custom Resources (CRs) related to operands.

C. Open the terminal window and run "oc upgrade ..." command.

There is no oc upgrade command in OpenShift. Upgrades in OpenShift are typically managed through CR updates or Operator Lifecycle Manager (OLM).

D. Use the OpenShift web console to edit the YAML definition of the IBM Automation foundation assets operator.

Editing the operator’s YAML would affect the operator itself, not the Asset Repository operand, which is what needs to be upgraded.

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

IBM Cloud Pak for Integration Knowledge Center

IBM Automation Foundation Assets Documentation

OpenShift Operator Lifecycle Manager (OLM) Guide

IBM Cloud Pak for Integration (CP4I) is licensed based on Virtual Processor Cores (VPCs), and administrators must ensure that CP4I does not exceed the entitled number of VPCs when deployed on a shared OpenShift cluster.

One of the official methods to enforce license usage limits in CP4I is by setting the MaxLicenseDeployment environment variable in the CP4I Operator.

MaxLicenseDeployment is an environment variable that can be set in the CP4I operator.

This restricts the CP4I components to only consume the specified number of Virtual Processor Cores (VPCs), ensuring compliance with licensing terms.

The value assigned should be less than or equal to the entitled VPCs to prevent over-deployment.

How This Works:Configuration Example:To enforce a maximum VPC limit of 16, update the CP4I Operator's environment variables:

env:

- name: MaxLicenseDeployment

value: "16"

IBM officially recommends using MaxLicenseDeployment to enforce VPC limits.

It is a built-in mechanism for Cloud Pak licensing enforcement.

Ensures compliance without affecting other Cloud Paks running on the same OpenShift cluster.

Why Answer A is Correct?

B. VPCs are shared across all IBM Cloud Paks, so this is not necessary. → Incorrect

While VPCs are shared at the cluster level, IBM provides per-Pak license enforcement mechanisms like MaxLicenseDeployment.

Without setting limits, CP4I could consume more than its entitled VPCs.

C. Only deploy CP4I to a namespace enforced by Kubernetes CPU quota limits, where the limit is less than the VPCs of license entitlement. → Incorrect

Kubernetes CPU quotas control resource allocation but do not enforce IBM licensing.

This does not track VPC consumption for licensing compliance.

D. More information is required. → Incorrect

The IBM licensing model is well-documented, and IBM provides clear guidance on using MaxLicenseDeployment.

No additional information is needed to determine the best approach.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration Licensing

IBM License Service for OpenShift

IBM Cloud Pak Virtual Processor Core (VPC) Enforcement

OpenShift Resource Quotas and Limits

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

When installing a new instance of IBM Cloud Pak for Integration (CP4I) Operations Dashboard, several prerequisites must be met. The correct answers are B and D based on IBM Cloud Pak for Integration v2021.2 requirements.

B. A pull secret from IBM Entitled Registry must exist in the namespace containing an entitlement key.

The IBM Entitled Registry hosts the necessary container images required for CP4I components, including Operations Dashboard.

Before installation, you must create a pull secret in the namespace where CP4I is installed. This secret must include your IBM entitlement key to authenticate and pull images.

Command to create the pull secret:

Correct Answers:oc create secret docker-registry ibm-entitlement-key \

--docker-server=cp.icr.io \

--docker-username=cp \

--docker-password= \

--namespace=

IBM Reference: IBM Entitled Registry Setup

D. The vm.max_map_count sysctl setting on worker nodes must be higher than the operating system default.

The Operations Dashboard relies on Elasticsearch, which requires an increased vm.max_map_count setting for better performance and stability.

The default Linux setting (65530) is too low. It needs to be at least 262144 to avoid indexing failures.

To update this setting permanently, run the following command on worker nodes:

sudo sysctl -w vm.max_map_count=262144

IBM Reference: Elasticsearch System Requirements

A. For shared data, a storage class that provides ReadWriteOnce (RWO) access mode of at least 100 MB is required. (Incorrect)

While persistent storage is required, the Operations Dashboard primarily uses Elasticsearch, which typically requires ReadWriteOnce (RWO) or ReadWriteMany (RWX) block storage. However, the 100 MB storage requirement is incorrect, as Elasticsearch generally requires gigabytes of storage, not just 100 MB.

IBM Recommendation: Typically, Elasticsearch requires at least 10 GB of persistent storage for logs and indexing.

C. If the OpenShift Container Platform Ingress Controller pod runs on the host network, the default namespace must be labeled with network.openshift.io/controller-group: ingress to allow traffic to the Operations Dashboard. (Incorrect)

While OpenShift’s Ingress Controller must be configured correctly, this specific label requirement applies to some specific OpenShift configurations but is not a mandatory prerequisite for Operations Dashboard installation.

Instead, route-based access and appropriate network policies are required to allow ingress traffic.

E. For storing tracing data, a block storage class that provides ReadWriteMany (RWX) access mode and 10 IOPS of at least 10 GB is required. (Incorrect)

Tracing data storage does require persistent storage, but block storage does not support RWX mode in most environments.

Instead, file-based storage with RWX access mode (e.g., NFS) is typically used for OpenShift deployments needing shared storage.

Explanation of Incorrect Options:

IBM Cloud Pak for Integration Operations Dashboard Installation Guide

Setting Up IBM Entitled Registry Pull Secret

Elasticsearch System Configuration - vm.max_map_count

OpenShift Storage Documentation

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

Final Answer:✅ B. A pull secret from IBM Entitled Registry must exist in the namespace containing an entitlement key.✅ D. The vm.max_map_count sysctl setting on worker nodes must be higher than the operating system default.

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:

When the API Connect operator is installed at the cluster scope, it means that the operator has permissions and visibility across the entire Kubernetes or OpenShift cluster, rather than being limited to a single namespace. This setup allows multiple namespaces to utilize the API Connect resources, effectively making the entire cluster behave as one large tenant.

Cluster-wide installation enables shared services across multiple namespaces, ensuring that API management is centralized.

Multi-tenancy behavior occurs because all API Connect components, such as the Gateway, Analytics, and Portal, can serve multiple teams or applications within the cluster.

Operator Lifecycle Manager (OLM) governs how the API Connect operator is deployed and managed across namespaces, reinforcing the unified behavior across the cluster.

IBM API Connect Operator Documentation

IBM Cloud Pak for Integration - Installing API Connect

IBM Redbook - Cloud Pak for Integration Architecture Guide

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

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: