IBM C1000-130 Exam With Confidence Using Practice Dumps

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:

IBM Aspera High-Speed Transfer Server (HSTS) is a core component of IBM Cloud Pak for Integration (CP4I) that enables secure, high-speed file transfers over networks, regardless of file size, distance, or network conditions.

HSTS does not impose a file size limit, meaning users can transfer files of any size efficiently.

It uses IBM Aspera’s FASP (Fast and Secure Protocol) to achieve transfer speeds significantly faster than traditional TCP-based transfers, even over long distances or unreliable networks.

HSTS allows an unlimited number of concurrent users to transfer files using an Aspera client.

It ensures secure, encrypted, and efficient file transfers with features like bandwidth control and automatic retry in case of network failures.

A. HSTS allows an unlimited number of concurrent users to transfer files of up to 500GB at high speed using an Aspera client. (Incorrect)

Incorrect file size limit – HSTS supports files of any size without restrictions.

B. HSTS allows an unlimited number of concurrent users to transfer files of up to 100GB at high speed using an Aspera client. (Incorrect)

Incorrect file size limit – There is no 100GB limit in HSTS.

C. HSTS allows an unlimited number of concurrent users to transfer files of up to 1TB at high speed using an Aspera client. (Incorrect)

Incorrect file size limit – There is no 1TB limit in HSTS.

D. HSTS allows an unlimited number of concurrent users to transfer files of any size at high speed using an Aspera client. (Correct)

Correct answer – HSTS does not impose a file size limit, making it the best choice.

Analysis of the Options:

IBM Aspera High-Speed Transfer Server Documentation

IBM Cloud Pak for Integration - Aspera Overview

IBM Aspera FASP Technology

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

In an IBM Cloud Pak for Integration (CP4I) v2021.2 deployment, certain components require ReadWriteMany (RWX) storage to allow multiple pods to read and write data concurrently.

CouchDB is used as the Asset Repository in CP4I to store configuration and metadata for IBM Automation Assets.

It requires persistent storage that can be accessed by multiple instances simultaneously.

RWX storage is necessary because multiple pods may need concurrent access to the same database storage in a distributed deployment.

Common RWX storage options in OpenShift include NFS, Portworx, or CephFS.

Why Option B (CouchDB for Asset Repository) is Correct:

A. MQ multi-instance → Incorrect

IBM MQ multi-instance queue managers require ReadWriteOnce (RWO) storage because only one active instance at a time can write to the storage.

MQ HA deployments typically use Replicated Data Queue Manager (RDQM) or Persistent Volumes with RWO access mode.

C. API Connect → Incorrect

API Connect stores most of its configurations in databases like MongoDB but does not specifically require RWX storage for its primary operation.

It uses RWO or ReadOnlyMany (ROX) storage for its internal components.

D. Event Streams → Incorrect

Event Streams (based on Apache Kafka) uses RWO storage for high-performance message persistence.

Each Kafka broker typically writes to its own dedicated storage, meaning RWX is not required.

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration Storage Requirements

CouchDB Asset Repository in CP4I

IBM MQ Multi-Instance Setup

OpenShift RWX Storage Options

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