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

In IBM Cloud Pak for Integration (CP4I) v2021.2, when deploying a highly available single-resilient queue manager, storage considerations are crucial to ensuring fault tolerance and failover capability.

A single-resilient queue manager uses a shared file system that allows different queue manager instances to access the same data, enabling failover to another node in the event of failure. The key requirement is data write integrity, ensuring that only one instance has access at a time and that locks are properly released in case of a node failure.

Option A is correct: A shared file system must support data consistency and failover mechanisms to ensure that only one instance writes to the queue manager logs and data at any time. If the active instance fails, another instance can take over using the same storage.

Option B is incorrect: While cloud storage replication across availability zones is useful, it does not replace the need for a proper shared file system with write integrity.

Option C is incorrect: Persistent volumes are supported for resilient queue managers when deployed in Kubernetes environments like OpenShift, as long as they meet the required file system properties.

Option D is incorrect: A single resilient queue manager can recover quickly by failing over to a standby node, often faster than a multi-instance queue manager, which requires additional failover processes.

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

IBM MQ High Availability Documentation

IBM Cloud Pak for Integration Storage Considerations

IBM MQ Resiliency and Disaster Recovery Guide

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:

In IBM Cloud Pak for Integration (CP4I) v2021.2, when instantiating a new capability via the Platform Navigator, distributed tracing data is not automatically available. To enable tracing and observability for a capability, it must be registered with the Operations Dashboard.

The Operations Dashboard in CP4I provides centralized observability, logging, and distributed tracing across integration components.

Capabilities such as IBM API Connect, App Connect, IBM MQ, and Event Streams need to be explicitly registered with the Operations Dashboard to collect and display tracing data.

Registration links the capability with the distributed tracing service, allowing telemetry data to be captured.

Why "Register the capability with the Operations Dashboard" is the correct answer?

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. Press the 'enable' button in the Operations Dashboard.

❌ Incorrect – There is no single 'enable' button that automatically registers capabilities. Manual registration is required.

❌

B. Add 'operationsDashboard: true' to the deployment YAML.

❌ Incorrect – This setting alone does not enable distributed tracing. The capability still needs to be registered with the Operations Dashboard.

❌

C. Run the oc register command against the capability.

❌ Incorrect – There is no oc register command in OpenShift or CP4I for registering capabilities with the Operations Dashboard.

❌

Final Answer:✅ D. Register the capability with the Operations Dashboard

IBM Cloud Pak for Integration - Operations Dashboard

Enabling Distributed Tracing in IBM CP4I

IBM CP4I - Observability and Monitoring

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:

In IBM Cloud Pak for Integration (CP4I) v2021.2, when installing the API Connect Operator, it is crucial to monitor its deployment status to ensure a successful installation. This is typically done using ClusterServiceVersion (CSV), which is a Kubernetes resource managed by the Operator Lifecycle Manager (OLM).

The ClusterServiceVersion (CSV) represents the state of an operator and provides details about its installation, upgrades, and available APIs. The status field within the CSV object contains the installation progress and indicates whether the installation was successful (Succeeded), is still in progress (Installing), or has failed (Failed).

To query the status of the API Connect operator installation, you can run the following command:

kubectl get csv -n

or

kubectl describe csv <apic-csv-name> -n

This command will return details about the CSV, including its "Phase", which should be "Succeeded" if the installation is complete.

A. The API Connect InstallPlan – While the InstallPlan is responsible for tracking the installation process of the operator, it does not explicitly indicate whether the installation was completed successfully.

C. The API Connect Operator Subscription – The Subscription resource ensures that the operator is installed and updated, but it does not provide a direct success or failure status of the installation.

D. The API Connect Operator Pod – Checking the Pod status only shows if the Operator is running but does not confirm whether the installation process itself was completed successfully.

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

IBM Cloud Pak for Integration Knowledge Center

IBM API Connect Documentation

IBM OLM ClusterServiceVersion Reference

Kubernetes Official Documentation on CSV

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, when new IBM MQ (Message Queue) containers are deployed, sensitive data such as passwords, credentials, and encryption keys must be securely injected into the container environment.

The correct Kubernetes object for storing and injecting sensitive data is a Secret.

Kubernetes Secrets securely store sensitive data

Secrets allow IBM MQ containers to retrieve authentication credentials (e.g., admin passwords, TLS certificates, and API keys) without exposing them in environment variables or config maps.

Unlike ConfigMaps, Secrets are encrypted and access-controlled, ensuring security compliance.

Used by IBM MQ Operator

When deploying IBM MQ in OpenShift/Kubernetes, the MQ operator references Secrets to inject necessary credentials into MQ containers.

Example:

Why is "Secret" the correct answer?apiVersion: v1

kind: Secret

metadata:

name: mq-secret

type: Opaque

data:

mq-password: bXlxYXNzd29yZA==

The MQ container can then access this mq-password securely.

Prevents hardcoding sensitive data

Instead of storing passwords directly in deployment files, using Secrets enhances security and compliance with enterprise security standards.

Why are the other options incorrect?❌ A. Replicator

The Replicator is responsible for synchronizing and replicating messages across MQ queues but does not store sensitive credentials.

❌ B. MQRegistry

The MQRegistry is used for tracking queue manager details but does not manage sensitive data injection.

It mainly helps with queue manager registration and configuration.

❌ C. DeploymentConfig

A DeploymentConfig in OpenShift defines how pods should be deployed but does not handle sensitive data injection.

Instead, DeploymentConfig can reference a Secret, but it does not store sensitive information itself.

IBM MQ Security - Kubernetes Secrets

IBM Docs – Securely Managing MQ in Kubernetes

IBM Cloud Pak for Integration Knowledge Center

Covers how Secrets are used in MQ container deployments.

Red Hat OpenShift Documentation – Kubernetes Secrets

Secrets in Kubernetes

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

The IBM Storage Suite for Cloud Paks provides storage licensing for various IBM Cloud Pak solutions, including Cloud Pak for Integration (CP4I). It supports multiple storage options, such as IBM Spectrum Scale, IBM Spectrum Virtualize, IBM Spectrum Discover, IBM Spectrum Protect Plus, and OpenShift Container Storage (OCS).

IBM licenses CP4I based on Virtual Processor Cores (VPCs).

Storage Suite for Cloud Paks uses a conversion factor:

1 VPC of CP4I provides 25GB of OCS storage entitlement.

To calculate how much CP4I VPC is required for 8TB (8000GB) of OCS:

Understanding Licensing Conversion:8000GB25GB per VPC=320 VPCs\frac{8000GB}{25GB \text{ per VPC}} = 320 \text{ VPCs}25GB per VPC8000GB​=320 VPCs

Since the administrator only has 200 VPCs of CP4I, they do not have enough entitlement to cover the full 8TB of OCS storage. They would need an additional 120 VPCs to fully meet the requirement.

A. The Storage Suite entitlement covers the administrator's license needs only if the OpenShift cluster is running on IBM Cloud or AWS.

Incorrect, because Storage Suite for Cloud Paks can be used on any OpenShift deployment, including on-premises, IBM Cloud, AWS, or other cloud providers.

C. The Storage Suite entitlement already covers the administrator's license needs.

Incorrect, because 200 VPCs of CP4I only provide 5TB (200 × 25GB) of OCS storage, but the administrator needs 8TB.

D. The Storage Suite entitlement only covers IBM Spectrum products, but the licenses can be converted to OCS.

Incorrect, because Storage Suite already includes OpenShift Container Storage (OCS) as part of its licensing model without requiring any conversion.

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

IBM Storage Suite for Cloud Paks Licensing Guide

IBM Cloud Pak for Integration Licensing Information

OpenShift Container Storage Entitlement