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

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 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.

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.

OpenShift Log Forwarding to Splunk

IBM Cloud Pak for Integration – Logging and Monitoring

Red Hat OpenShift Logging Documentation

OpenShift Log Forwarding Features:Why Not the Other Options?IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References

In IBM Cloud Pak for Integration (CP4I) v2021.2, ensuring high availability (HA) requires certain components to maintain a quorum. A quorum is a mechanism where a majority of nodes or instances must agree on a state to prevent split-brain scenarios and ensure consistency.

IBM MQ Multi-instance Queue Manager is designed for high availability.

It runs in an active-standby configuration where a shared storage is required, and a quorum ensures that failover occurs correctly.

If the primary queue manager fails, quorum logic ensures that another instance assumes control without data corruption.

API Connect operates in a distributed cluster architecture where multiple components (such as the API Manager, Analytics, and Gateway) work together.

A quorum is required to ensure consistency and avoid conflicts in API configurations across multiple instances.

API Connect uses MongoDB as its backend database, and MongoDB requires a replica set quorum for high availability and failover.

Why "Multi-instance Queue Manager" (A) Requires a Quorum?Why "API Management (API Connect)" (B) Requires a Quorum?

Why Not the Other Options?Option

Reason for Exclusion

C. Application Integration (App Connect)

While App Connect can be deployed in HA mode, it does not require a quorum. It uses Kubernetes scaling and load balancing instead.

D. Event Gateway Service

Event Gateway is stateless and relies on horizontal scaling rather than quorum-based HA.

E. Automation Assets

This component stores automation-related assets but does not require quorum for HA. It typically relies on persistent storage replication.

Thus, Multi-instance Queue Manager (IBM MQ) and API Management (API Connect) require quorum to ensure high availability in Cloud Pak for Integration.

IBM MQ Multi-instance Queue Manager HA

IBM API Connect High Availability and Quorum

CP4I High Availability Architecture

MongoDB Replica Set Quorum in API Connect

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, the Platform Navigator is the central UI for managing integration capabilities, including user and access control. To add users and user groups, the required permission level is Administrator.

User Management Capabilities:

The Administrator role in Platform Navigator has full access to user and group management functions, including:

Adding new users

Assigning roles

Managing access policies

RBAC (Role-Based Access Control) Enforcement:

CP4I enforces RBAC to restrict actions based on roles.

Only Administrators can modify user access, ensuring security compliance.

Access Control via OpenShift and IAM Integration:

User management in CP4I integrates with IBM Cloud IAM or OpenShift User Management.

The Administrator role ensures correct permissions for authentication and authorization.

Why is "Administrator" the Correct Answer?

Why Not the Other Options?Option

Reason for Exclusion

A. root

"root" is a Linux system user and not a role in Platform Navigator. CP4I does not grant UI-based root access.

B. Super-user

No predefined "Super-user" role exists in CP4I. If referring to an elevated user, it still does not match the Administrator role in Platform Navigator.

D. User

Regular "User" roles have view-only or limited permissions and cannot manage users or groups.

Thus, the Administrator role is the correct choice for adding users and user groups in Platform Navigator.

IBM Cloud Pak for Integration - Platform Navigator Overview

Managing Users in Platform Navigator

Role-Based Access Control in CP4I

OpenShift User Management and Authentication

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

When configuring OpenShift Logging with Kibana to retrieve logs for Cloud Pak for Integration (CP4I) applications, the correct index pattern to use is applications*.

Here’s why:

IBM Cloud Pak for Integration (CP4I) applications running on OpenShift generate logs that are stored in the Elasticsearch logging stack.

The standard OpenShift logging format organizes logs into different indices based on their source type.

The applications* index pattern is used to capture logs for applications deployed on OpenShift, including CP4I components.

Analysis of the options:

Option A (Incorrect – cp4i-*): There is no specific index pattern named cp4i-* for retrieving CP4I logs in OpenShift Logging.

*Option B (Correct – applications)**: This is the correct index pattern used in Kibana to retrieve logs from OpenShift applications, including CP4I components.

Option C (Incorrect – torn-*): This is not a valid OpenShift logging index pattern.

Option D (Incorrect – app-*): This index does not exist in OpenShift logging by default.

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

IBM Cloud Pak for Integration Logging Guide

OpenShift Logging Documentation

Kibana and Elasticsearch Index Patterns in OpenShift

IBM API Connect, as part of IBM Cloud Pak for Integration (CP4I), supports various deployment topologies, including Active/Active and Active/Passive configurations across multiple data centers. Let's analyze the provided topology carefully:

Backup Strategy (Option A - Correct)

The API Manager and Developer Portal components are stateful and require regular backups.

Since the topology spans across two sites, these backups should be replicated to the second site to ensure disaster recovery (DR) and high availability (HA).

This aligns with IBM’s best practices for multi-data center deployment of API Connect.

Deployment Mode for API Manager & Portal (Option B - Incorrect)

The question suggests that API Manager and Portal are deployed across two sites.

If it were an Active/Passive deployment, only one site would be actively handling requests, while the second remains idle.

However, in IBM’s recommended architectures, API Manager and Portal are usually deployed in an Active/Active setup with proper failover mechanisms.

Cluster Type (Option C - Incorrect)

A distributed Kubernetes cluster across multiple sites would require an underlying multi-cluster federation or synchronization.

IBM API Connect is usually deployed on separate Kubernetes clusters per data center, rather than a single distributed cluster.

Therefore, this topology does not represent a distributed Kubernetes cluster across sites.

Failover Behavior (Option D - Incorrect)

Kubernetes cannot automatically detect failures in Data Center 1 and migrate services to Data Center 2 unless specifically configured with multi-cluster HA policies and disaster recovery.

Instead, IBM API Connect HA and DR mechanisms would handle failover via manual or automated orchestration, but not via Kubernetes native services.

Gateway and Analytics Deployment (Option E - Correct)

API Gateway and Analytics services are typically deployed in Active/Active mode for high availability and load balancing.

This means that traffic is dynamically routed to the available instance in both sites, ensuring uninterrupted API traffic even if one data center goes down.

Final Answer:✅ A. Regular backups of the API Manager and Portal have to be taken, and these backups should be replicated to the second site.✅ E. This represents an Active/Active deployment for Gateway and Analytics services.

IBM API Connect Deployment Topologies

IBM Documentation – API Connect Deployment Models

High Availability and Disaster Recovery in IBM API Connect

IBM API Connect HA & DR Guide

IBM Cloud Pak for Integration Architecture Guide

IBM Cloud Pak for Integration Docs

References:

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, administrators often need to retrieve logs from pods to diagnose issues or monitor application behavior. The correct OpenShift CLI (oc) command to retrieve logs from a specific pod is:

sh

CopyEdit

oc logs

This command fetches the logs of a running container within the specified pod. If a pod has multiple containers, the -c flag is used to specify the container name:

sh

CopyEdit

oc logs -c

A. oc get logs → Incorrect. The oc get command is used to list resources (such as pods, deployments, etc.), but it does not retrieve logs.

C. oc describe → Incorrect. This command provides detailed information about a pod, including events and status, but not logs.

D. oc retrieve logs → Incorrect. There is no such command in OpenShift CLI.

IBM Cloud Pak for Integration Logging and Monitoring

Red Hat OpenShift CLI (oc) Reference

IBM Cloud Pak for Integration Troubleshooting

Explanation of Other Options:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

In IBM Cloud Pak for Integration (CP4I), the Operations Dashboard provides visibility into API and application performance by collecting and analyzing tracing data. The Sampling Policy is a configurable setting that determines the percentage of traces that are sampled, collected, and stored for analysis.

Tracing all requests can be resource-intensive, so a sampling policy allows administrators to control how much trace data is captured, balancing observability with system performance.

Sampling can be random (e.g., capture 10% of requests) or rule-based (e.g., capture only slow or error-prone transactions).

Administrators can configure trace sampling rates based on workload needs.

A higher sampling rate captures more traces, useful for debugging but may increase storage and processing overhead.

A lower sampling rate reduces storage but might miss some performance insights.

How the Sampling Policy Works:

A. Sampling policy (Correct) ✅

The sampling policy is the correct setting that defines how traces are collected and stored in the Operations Dashboard.

B. Sampling context (Incorrect) ❌

No such configuration exists in CP4I. The term "context" is generally used for metadata about a trace, not for controlling sampling rates.

C. Tracing policy (Incorrect) ❌

While tracing policies define whether tracing is enabled, they do not directly configure trace sampling rates.

D. Trace context (Incorrect) ❌

Trace context refers to the metadata attached to traces (such as trace IDs), but it does not determine the percentage of traces sampled.

Analysis of the Options:

IBM API Connect and Operations Dashboard - Tracing Configuration

IBM Cloud Pak for Integration - Distributed Tracing Guide

OpenTelemetry and Sampling Policy for IBM Cloud Pak

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, App Connect Designer is a low-code integration tool that enables users to design and deploy integrations between applications and services. It runs as a containerized service within OpenShift.

OpenShift supports multi-instance deployments, allowing users to create multiple instances of App Connect Designer within the same namespace.

This flexibility enables organizations to run separate designer instances for different projects, teams, or environments within the same namespace.

Each instance operates independently, and users can configure them with different settings and access controls.

Why Option C is Correct:

Explanation of Incorrect Answers:

IBM Cloud Pak for Integration (CP4I) includes Confluent Platform as a key capability to support event-driven architecture and real-time data streaming. The Confluent Platform is built on Apache Kafka, providing robust event-streaming capabilities that allow organizations to collect, process, store, and manage data from multiple sources in a highly scalable and reliable manner.

This capability is essential for real-time analytics, event-driven microservices, and data integration between various applications and services. With its high-performance messaging backbone, it ensures low-latency event processing while maintaining fault tolerance and durability.

A. It provides the ability to trace transactions through IBM Cloud Pak for Integration.

Incorrect. Transaction tracing and monitoring are primarily handled by IBM Cloud Pak for Integration's API Connect, App Connect, and Instana monitoring tools, rather than Confluent Platform itself.

B. It provides a capability that allows users to store, manage, and retrieve integration assets in IBM Cloud Pak for Integration.

Incorrect. IBM Asset Repository and IBM API Connect are responsible for managing integration assets, not Confluent Platform.

C. It provides APIs to discover applications, platforms, and infrastructure in the environment.

Incorrect. This functionality is more aligned with IBM Instana, IBM Cloud Pak for Multicloud Management, or OpenShift Discovery APIs, rather than the event-streaming capabilities of Confluent Platform.

IBM Cloud Pak for Integration Documentation - Event Streams (Confluent Platform Integration)

IBM Cloud Docs

Confluent Platform Overview

Confluent Documentation

IBM Event Streams for IBM Cloud Pak for Integration

IBM Event Streams

Explanation of Other Options:References: