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

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 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:

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: