C1000-130 Exam Dumps - IBM Certified Administrator - Cloud Pak for Integration V2021.2 Questions and Answers

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, Foundational Services provide authentication and access control mechanisms, including Single Sign-On (SSO) integration. The two supported authentication types for SSO are:

OpenShift Authentication

IBM Cloud Pak for Integration leverages OpenShift authentication to integrate with existing identity providers.

OpenShift authentication supports OAuth-based authentication, allowing users to sign in using an OpenShift identity provider, such as LDAP, OIDC, or SAML.

This method enables seamless user access without requiring additional login credentials.

Enterprise SAML (Security Assertion Markup Language)

SAML authentication allows integration with enterprise identity providers (IdPs) such as IBM Security Verify, Okta, Microsoft Active Directory Federation Services (ADFS), and other SAML 2.0-compatible IdPs.

It provides federated identity management for SSO across enterprise applications, ensuring secure access to Cloud Pak services.

A. Basic Authentication – Incorrect

Basic authentication (username and password) is not used for Single Sign-On (SSO). SSO mechanisms require identity federation through OpenID Connect (OIDC) or SAML.

C. PublicKey – Incorrect

PublicKey authentication (such as SSH key-based authentication) is used for system-level access, not for SSO in Foundational Services.

E. Local User Registry – Incorrect

While local user registries can store credentials, they do not provide SSO capabilities. SSO requires federated identity providers like OpenShift authentication or SAML-based IdPs.

Why the other options are incorrect:

IBM Cloud Pak Foundational Services Authentication Guide

OpenShift Authentication and Identity Providers

IBM Cloud Pak for Integration SSO Configuration

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 IBM Cloud Pak for Integration (CP4I) v2021.2, the Automation Assets Deployment capability is designed to help users efficiently manage integration assets within the Cloud Pak environment. This capability provides a centralized repository where users can store, manage, retrieve, and search for integration assets that are essential for automation and integration processes.

Option A is incorrect: The Automation Assets Deployment feature is not a streaming platform for managing data from multiple sources. Streaming platforms, such as IBM Event Streams, are used for real-time data ingestion and processing.

Option B is incorrect: Similar to Option A, this feature does not focus on data streaming or management from a single source but rather on handling integration assets.

Option C is correct: The Automation Assets Deployment capability provides a comprehensive solution for storing, managing, retrieving, and searching integration-related assets within IBM Cloud Pak for Integration. It enables organizations to reuse and efficiently deploy integration components across different services.

Option D is incorrect: While this capability allows for storing and managing assets, it also provides retrieval and search functionality, making Option C the more accurate choice.

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

IBM Cloud Pak for Integration Documentation

IBM Cloud Pak for Integration Automation Assets Overview

IBM Knowledge Center – Managing Automation Assets

Correct Ordered Steps to Delete IBM MQ from IBM Cloud Pak for Integration (CP4I):

1️⃣ Log in to your OpenShift cluster's web console.

Access the OpenShift web console to manage resources and installed operators.

2️⃣ Select Operators from Installed Operators in a project containing Queue Managers.

Navigate to the Installed Operators section and locate the IBM MQ Operator in the project namespace where queue managers exist.

3️⃣ Delete Queue Managers.

Before uninstalling the operator, delete any existing IBM MQ Queue Managers to ensure a clean removal.

4️⃣ Uninstall the Operator.

Finally, uninstall the IBM MQ Operator from OpenShift to complete the deletion process.

To properly delete IBM MQ from IBM Cloud Pak for Integration (CP4I), the steps must be followed in the correct order:

Logging into OpenShift Web Console – This step provides access to the IBM MQ Operator and related resources.

Selecting the Installed Operator – Ensures the correct project namespace and MQ resources are identified.

Deleting Queue Managers – Queue Managers must be removed before uninstalling the operator; otherwise, orphaned resources may remain.

Uninstalling the Operator – Once all resources are removed, the MQ Operator can be uninstalled cleanly.

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

IBM MQ in Cloud Pak for Integration

Managing IBM MQ Operators in OpenShift

Uninstalling IBM MQ on OpenShift

jsonpath='{.status.channels[*].name}'

performs the following actions:

oc get packagemanifest → Retrieves the package manifest information for operators installed on the OpenShift cluster.

-n ibm-common-services → Specifies the namespace where IBM Common Services are installed.

ibm-common-service-operator → Targets the IBM Common Service Operator, which manages foundational services for Cloud Pak for Integration.

-o jsonpath='{.status.channels[*].name}' → Extracts and displays the available upgrade channels from the operator’s status field in JSON format.

The IBM Common Service Operator is part of Cloud Pak for Integration Foundational Services.

The status.channels[*].name field lists the available upgrade channels (e.g., stable, v1, latest).

This command helps administrators determine which upgrade paths are available for foundational services.

Why Answer A is Correct:

B. It displays the status and names of channels in the default queue manager. → Incorrect

This command is not related to IBM MQ queue managers.

It queries package manifests for IBM Common Services operators, not queue managers.

C. It retrieves a manifest of services packaged in Cloud Pak for Integration operators. → Incorrect

The command does not return a full list of services; it only displays upgrade channels.

D. It returns an operator package manifest in a JSON structure. → Incorrect

The command outputs only the names of upgrade channels in plain text, not the full JSON structure of the package manifest.

Explanation of Incorrect Answers:

IBM Cloud Pak Foundational Services Overview

OpenShift PackageManifest Command Documentation

IBM Common Service Operator Details

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

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, when App Connect Operator is deployed in a restricted network (air-gapped environment), access to external cloud-based services (such as AWS S3) is typically not available.

A restricted network means no direct internet access, so external storage services like Amazon S3 cannot be used to store Broker Archive (BAR) files.

BAR files contain packaged integration flows for IBM App Connect Enterprise (ACE).

In restricted environments, administrators must use internal storage options, such as:

Persistent Volume Claims (PVCs)

Ephemeral storage (temporary, in-memory storage)

Why Option A (S3 Cannot Be Used) is Correct:

B. Ephemeral storage cannot be used for BAR files. → Incorrect

Ephemeral storage is supported but is not recommended for production because data is lost when the pod restarts.

C. Only Ephemeral storage is supported for BAR files. → Incorrect

Both Ephemeral storage and Persistent Volume Claims (PVCs) are supported for storing BAR files.

Ephemeral storage is not the only option.

D. Persistent Claim storage cannot be used for BAR files. → Incorrect

Persistent Volume Claims (PVCs) are a supported and recommended method for storing BAR files in a restricted network.

This ensures that integration flows persist even if a pod is restarted or redeployed.

Explanation of Incorrect Answers:

IBM App Connect Enterprise - BAR File Storage Options

IBM Cloud Pak for Integration Storage Considerations

IBM Cloud Pak for Integration Deployment in Restricted Environments

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

In IBM Cloud Pak for Integration (CP4I) v2021.2, Event Endpoint Management (EEM) is the capability that describes, catalogs, and socializes APIs for Kafka event sources with application developers.

Event Endpoint Management (EEM) allows developers to discover and consume Kafka event sources in a structured way, similar to how REST APIs are managed in an API Gateway.

It provides a developer portal where event-driven APIs can be exposed, documented, and consumed by applications.

It helps organizations share event-driven APIs with internal teams or external consumers, enabling seamless event-driven integrations.

Why "Event Endpoint Management" is the Correct Answer?

Why the Other Options Are Incorrect?Option

Explanation

Correct?

A. Gateway Endpoint Management

❌ Incorrect – Gateway endpoint management refers to managing API Gateway endpoints for routing and securing APIs, but it does not focus on event-driven APIs like Kafka.

❌

B. REST Endpoint Management

❌ Incorrect – REST Endpoint Management deals with traditional RESTful APIs, not event-driven APIs for Kafka.

❌

D. API Endpoint Management

❌ Incorrect – API Endpoint Management is a generic term for managing APIs but does not specifically focus on event-driven APIs for Kafka.

❌

Final Answer:✅ C. Event Endpoint Management

IBM Cloud Pak for Integration – Event Endpoint Management

IBM Event Endpoint Management Documentation

Kafka API Discovery & Management in IBM CP4I

The Cluster Version Operator (CVO) is responsible for checking the OpenShift Update Service (OSUS) for valid updates in an OpenShift cluster. It continuously monitors for available updates and ensures that the cluster components are updated according to the specified update policy.

Periodically checks the OpenShift Update Service (OSUS) for available updates.

Manages the ClusterVersion resource, which defines the current version and available updates.

Ensures that cluster operators are applied in the correct order.

Handles update rollouts and recovery in case of failures.

A. Cluster Update Operator – No such component exists in OpenShift.

B. Cluster Update Manager – This is not an OpenShift component. The update process is managed by CVO.

C. Cluster Version Updater – Incorrect term; the correct term is Cluster Version Operator (CVO).

IBM Documentation – OpenShift Cluster Version Operator

IBM Cloud Pak for Integration (CP4I) v2021.2 Knowledge Center

Red Hat OpenShift Documentation on Cluster Updates

Key Functions of the Cluster Version Operator (CVO):Why Not the Other Options?IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References.