IBM C1000-130 Exam Questions

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, cluster logging can be forwarded to external third-party systems, with Splunk being one of the officially supported destinations.

OpenShift Log Forwarding Features:

OpenShift Cluster Logging Operator enables log forwarding.

Supports forwarding logs to various external logging solutions, including Splunk.

Uses the Fluentd log collector to send logs to Splunk's HTTP Event Collector (HEC) endpoint.

Provides centralized log management, analysis, and visualization.

Why Not the Other Options?

B . Kafka Broker -- OpenShift does support sending logs to Kafka, but Kafka is a message broker, not a full-fledged logging system like Splunk.

C . Apache Lucene -- Lucene is a search engine library, not a log management system.

D . Apache Solr -- Solr is based on Lucene and is used for search indexing, not log forwarding.

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

OpenShift Log Forwarding to Splunk

IBM Cloud Pak for Integration -- Logging and Monitoring

Red Hat OpenShift Logging Documentation

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.

Why Other Options Are Incorrect:

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.

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

IBM Cloud Pak for Integration Knowledge Center

IBM Automation Foundation Assets Documentation

OpenShift Operator Lifecycle Manager (OLM) Guide

In IBM Cloud Pak for Integration (CP4I) v2021.2, the DataPower Gateway operator is responsible for managing DataPower Gateway deployments within an OpenShift environment. The correct answer is StatefulSet because of the following reasons:

Why is DataPowerService created as a StatefulSet?

Persistent Identity & Storage:

A StatefulSet ensures that each DataPowerService instance has a stable, unique identity and persistent storage (e.g., for logs, configurations, and stateful data).

This is essential for DataPower since it maintains configurations that should persist across pod restarts.

Ordered Scaling & Upgrades:

StatefulSets provide ordered, predictable scaling and upgrades, which is important for enterprise gateway services like DataPower.

Network Identity Stability:

Each pod in a StatefulSet gets a stable network identity with a persistent DNS entry.

This is critical for DataPower appliances, which rely on fixed hostnames and IPs for communication.

DataPower High Availability:

StatefulSets help maintain high availability and proper state synchronization between multiple instances when deployed in an HA mode.

Why are the other options incorrect?

Option A (DaemonSet):

DaemonSets ensure that one pod runs on every node, which is not necessary for DataPower.

DataPower requires stateful behavior and ordered deployments, which DaemonSets do not provide.

Option B (Deployment):

Deployments are stateless, while DataPower needs stateful behavior (e.g., persistence of certificates, configurations, and transaction data).

Deployments create identical replicas without preserving identity, which is not suitable for DataPower.

Option D (ReplicaSet):

ReplicaSets only ensure a fixed number of running pods but do not manage stateful data or ordered scaling.

DataPower requires persistence and ordered deployment, which ReplicaSets do not support.

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

IBM Cloud Pak for Integration Knowledge Center -- DataPower Gateway Operator

IBM Documentation

IBM DataPower Gateway Operator Overview

Official IBM Cloud documentation on how DataPower is deployed using StatefulSets in OpenShift.

Red Hat OpenShift StatefulSet Documentation

StatefulSets in Kubernetes

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.

Correct Answers:

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:

oc create secret docker-registry ibm-entitlement-key \

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

--docker-username=cp \

--docker-password=<your_entitlement_key> \

--namespace=<your_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

Explanation of Incorrect Options:

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.

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

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

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.

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.

Why 'RWO Block Storage' is Required?

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.

Common Block Storage Options for API Connect on OpenShift:

IBM Cloud Block Storage

AWS EBS (Elastic Block Store)

Azure Managed Disks

VMware vSAN

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

IBM API Connect System Requirements

IBM Cloud Pak for Integration Storage Recommendations

Red Hat OpenShift Storage Documentation