What ate two ways to add the IBM Cloud Pak tor Integration CatalogSource ob-jects to an OpenShift cluster that has access to the internet?
Copy the resource definition code into a file and use the oc apply -f filename command line option.
Import the catalog project from https://ibm.github.eom/icr-io/cp4int:2.4
Deploy the catalog the Red Hat OpenShift Application Runtimes.
Download the Cloud Pak for Integration driver from partnercentral.ibm.com to a local machine and deploy using the oc new-project command line option
Paste the resource definition code into the import YAML dialog of the OpenShift Admin web console and click Create.
To add the IBM Cloud Pak for Integration (CP4I) CatalogSource objects to an OpenShift cluster that has internet access, there are two primary methods:
Using oc apply -f filename (Option A)
The CatalogSource resource definition can be written in a YAML file and applied using the OpenShift CLI.
This method ensures that the cluster is correctly set up with the required catalog sources for CP4I.
Example command:
sh
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oc apply -f cp4i-catalogsource.yaml
This is a widely used approach for configuring OpenShift resources.
Using the OpenShift Admin Web Console (Option E)
Administrators can manually paste the CatalogSource YAML definition into the OpenShift Admin Web Console.
Navigate to Administrator → Operators → OperatorHub → Create CatalogSource, paste the YAML, and click Create.
This provides a UI-based alternative to using the CLI.
B (Incorrect): There is no valid icr-io/cp4int:2.4 catalog project import method for adding a CatalogSource. IBM’s container images are hosted on IBM Cloud Container Registry (ICR), but this method is not used for adding a CatalogSource.
C (Incorrect): Red Hat OpenShift Application Runtimes (RHOAR) is unrelated to the CatalogSource object creation for CP4I.
D (Incorrect): Downloading the CP4I driver and using oc new-project is not the correct approach for adding a CatalogSource. The oc new-project command is used to create OpenShift projects but does not deploy catalog sources.
Explanation of Incorrect Options:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
IBM Documentation: Managing Operator Lifecycle with OperatorHub
OpenShift Docs: Creating a CatalogSource
IBM Knowledge Center: Installing IBM Cloud Pak for Integration
Which component requires ReadWriteMany(RWX) storage in a Cloud Pak for Inte-gration deployment?
MQ multi-instance
CouchDB for Asset Repository
API Connect
Event Streams
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:
The following deployment topology has been created for an API Connect deploy-ment by a client.
Which two statements are true about the topology?
A. Regular back-ups of the API Manager and Portal have to be taken and these backups should be replicated
to the second site.
This represents a Active/Passive deployment (or Portal and Management ser-vices.
This represents a distributed Kubernetes cluster across the sites.
In case of Data Center J failing, the Kubernetes service of Data Center 2 will detect and instantiate the portal and management services on Data Center 2.
This represents an Active/Active deployment for Gateway and Analytics services.
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:
Which two Red Hat OpenShift Operators should be installed to enable OpenShift Logging?
OpenShift Console Operator
OpenShift Logging Operator
OpenShift Log Collector
OpenShift Centralized Logging Operator
OpenShift Elasticsearch Operator
In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is a critical component for monitoring cluster and application activities. To enable OpenShift Logging, two key operators must be installed:
OpenShift Logging Operator (B)
This operator is responsible for managing the logging stack in OpenShift.
It helps configure and deploy logging components like Fluentd, Kibana, and Elasticsearch within the OpenShift cluster.
It provides a unified way to collect and visualize logs across different workloads.
OpenShift Elasticsearch Operator (E)
This operator manages the Elasticsearch cluster, which is the central data store for log aggregation in OpenShift.
Elasticsearch stores logs collected from cluster nodes and applications, making them searchable and analyzable via Kibana.
Without this operator, OpenShift Logging cannot function, as it depends on Elasticsearch for log storage.
A. OpenShift Console Operator → Incorrect
The OpenShift Console Operator manages the web UI of OpenShift but has no role in logging.
It does not collect, store, or manage logs.
C. OpenShift Log Collector → Incorrect
There is no official OpenShift component or operator named "OpenShift Log Collector."
Log collection is handled by Fluentd, which is managed by the OpenShift Logging Operator.
D. OpenShift Centralized Logging Operator → Incorrect
This is not a valid OpenShift operator.
The correct operator for centralized logging is OpenShift Logging Operator.
Explanation of Incorrect Answers:
OpenShift Logging Overview
OpenShift Logging Operator Documentation
OpenShift Elasticsearch Operator Documentation
IBM Cloud Pak for Integration Logging Configuration
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Which statement describes the Aspera High Speed Transfer Server (HSTS) within IBM Cloud Pak for Integration?
HSTS allows an unlimited number of concurrent users to transfer files of up to 500GB at high speed using an Aspera client.
HSTS allows an unlimited number of concurrent users to transfer files of up to 100GB at high speed using an Aspera client.
HSTS allows an unlimited number of concurrent users to transfer files of up to 1TB at highs peed using an Aspera client.
HSTS allows an unlimited number of concurrent users to transfer files of any size at high speed using an Aspera client.
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:
An administrator is checking that all components and software in their estate are licensed. They have only purchased Cloud Pak for Integration (CP41) li-censes.
How are the OpenShift master nodes licensed?
CP41 licenses include entitlement for the entire OpenShift cluster that they run on, and the administrator can count against the master nodes.
OpenShift master nodes do not consume OpenShift license entitlement, so no license is needed.
The administrator will need to purchase additional OpenShift licenses to cover the master nodes.
CP41 licenses include entitlement for 3 cores of OpenShift per core of CP41.
In IBM Cloud Pak for Integration (CP4I) v2021.2, licensing is based on Virtual Processor Cores (VPCs), and it includes entitlement for OpenShift usage. However, OpenShift master nodes (control plane nodes) do not consume license entitlement, because:
OpenShift licensing only applies to worker nodes.
The master nodes (control plane nodes) manage cluster operations and scheduling, but they do not run user workloads.
IBM’s Cloud Pak licensing model considers only the worker nodes for licensing purposes.
Master nodes are essential infrastructure and are excluded from entitlement calculations.
IBM and Red Hat do not charge for OpenShift master nodes in Cloud Pak deployments.
A. CP4I licenses include entitlement for the entire OpenShift cluster that they run on, and the administrator can count against the master nodes. → ❌ Incorrect
CP4I licenses do cover OpenShift, but only for worker nodes where workloads are deployed.
Master nodes are excluded from licensing calculations.
C. The administrator will need to purchase additional OpenShift licenses to cover the master nodes. → ❌ Incorrect
No additional OpenShift licenses are required for master nodes.
OpenShift licensing only applies to worker nodes that run applications.
D. CP4I licenses include entitlement for 3 cores of OpenShift per core of CP4I. → ❌ Incorrect
The standard IBM Cloud Pak licensing model provides 1 VPC of OpenShift for 1 VPC of CP4I, not a 3:1 ratio.
Additionally, this applies only to worker nodes, not master nodes.
Explanation of Incorrect Answers:
IBM Cloud Pak Licensing Guide
IBM Cloud Pak for Integration Licensing Details
Red Hat OpenShift Licensing Guide
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What is a prerequisite for setting a custom certificate when replacing the default ingress certificate?
The new certificate private key must be unencrypted.
The certificate file must have only a single certificate.
The new certificate private key must be encrypted.
The new certificate must be self-signed certificate.
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
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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:
What role is required to install OpenShift GitOps?
cluster-operator
cluster-admin
admin
operator
In Red Hat OpenShift, installing OpenShift GitOps (based on ArgoCD) requires elevated cluster-wide permissions because the installation process:
Deploys Custom Resource Definitions (CRDs).
Creates Operators and associated resources.
Modifies cluster-scoped components like role-based access control (RBAC) policies.
Only a user with cluster-admin privileges can perform these actions, making cluster-admin the correct role for installing OpenShift GitOps.
Command to Install OpenShift GitOps:oc apply -f openshift-gitops-subscription.yaml
This operation requires cluster-wide permissions, which only the cluster-admin role provides.
Why the Other Options Are Incorrect?Option
Explanation
Correct?
A. cluster-operator
❌ Incorrect – No such default role exists in OpenShift. Operators are managed within namespaces but cannot install GitOps at the cluster level.
❌
C. admin
❌ Incorrect – The admin role provides namespace-level permissions, but GitOps requires cluster-wide access to install Operators and CRDs.
❌
D. operator
❌ Incorrect – This is not a valid OpenShift role. Operators are software components managed by OpenShift, but an operator role does not exist for installation purposes.
❌
Final Answer:✅ B. cluster-admin
Red Hat OpenShift GitOps Installation Guide
Red Hat OpenShift RBAC Roles and Permissions
IBM Cloud Pak for Integration - OpenShift GitOps Best Practices
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What type of authentication uses an XML-based markup language to exchange identity, authentication, and authorization information between an identity provider and a service provider?
Security Assertion Markup Language (SAML)
IAM SSO authentication
lAMviaXML
Enterprise XML
Security Assertion Markup Language (SAML) is an XML-based standard used for exchanging identity, authentication, and authorization information between an Identity Provider (IdP) and a Service Provider (SP).
SAML is widely used for Single Sign-On (SSO) authentication in enterprise environments, allowing users to authenticate once with an identity provider and gain access to multiple applications without needing to log in again.
User Requests Access → The user tries to access a service (Service Provider).
Redirect to Identity Provider (IdP) → If not authenticated, the user is redirected to an IdP (e.g., Okta, Active Directory Federation Services).
User Authenticates with IdP → The IdP verifies user credentials.
SAML Assertion is Sent → The IdP generates a SAML assertion (XML-based token) containing authentication and authorization details.
Service Provider Grants Access → The service provider validates the SAML assertion and grants access.
How SAML Works:SAML is commonly used in IBM Cloud Pak for Integration (CP4I) v2021.2 to integrate with enterprise authentication systems for secure access control.
B. IAM SSO authentication → ❌ Incorrect
IAM (Identity and Access Management) supports SAML for SSO, but "IAM SSO authentication" is not a specific XML-based authentication standard.
C. IAM via XML → ❌ Incorrect
There is no authentication method called "IAM via XML." IBM IAM systems may use XML configurations, but IAM itself is not an XML-based authentication protocol.
D. Enterprise XML → ❌ Incorrect
"Enterprise XML" is not a standard authentication mechanism. While XML is used in many enterprise systems, it is not a dedicated authentication protocol like SAML.
Explanation of Incorrect Answers:
IBM Cloud Pak for Integration - SAML Authentication
Security Assertion Markup Language (SAML) Overview
IBM Identity and Access Management (IAM) Authentication
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Which two of the following support Cloud Pak for Integration deployments?
IBM Cloud Code Engine
Amazon Web Services
Microsoft Azure
IBM Cloud Foundry
Docker
IBM Cloud Pak for Integration (CP4I) v2021.2 is designed to run on containerized environments that support Red Hat OpenShift, which can be deployed on various public clouds and on-premises environments. The two correct options that support CP4I deployments are:
Amazon Web Services (AWS) (Option B) ✅
AWS supports IBM Cloud Pak for Integration via Red Hat OpenShift on AWS (ROSA) or self-managed OpenShift clusters running on AWS EC2 instances.
CP4I components such as API Connect, App Connect, MQ, and Event Streams can be deployed on OpenShift running on AWS.
Which CLI command will retrieve the logs from a pod?
oc get logs ...
oc logs ...
oc describe ...
oc retrieve logs ...
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
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:
Which two App Connect resources enable callable flows to be processed between an integration solution in a cluster and an integration server in an on-premise system?
Sync server
Connectivity agent
Kafka sync
Switch server
Routing agent
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:
What is the result Of issuing the oc extract secret/platform—auth—idp—credentials --to=- command?
Writes the OpenShift Container Platform credentials to the current directory.
Generates Base64 decoded secrets for all Cloud Pak for Integration users.
Displays the credentials of the admin user.
Distributes credentials throughout the Cloud Pak for Integration platform.
The command:
oc extract secret/platform-auth-idp-credentials --to=-
is used to retrieve and display the admin user credentials stored in the platform-auth-idp-credentials secret within an OpenShift-based IBM Cloud Pak for Integration (CP4I) deployment.
In IBM Cloud Pak Foundational Services, the platform-auth-idp-credentials secret contains the admin username and password used to authenticate with OpenShift and Cloud Pak services.
The oc extract command decodes the secret and displays its contents in plaintext in the terminal.
The --to=- flag directs the output to standard output (STDOUT), ensuring that the credentials are immediately visible instead of being written to a file.
This command is commonly used for recovering lost admin credentials or retrieving them for automated processes.
Why Option C (Displays the credentials of the admin user) is Correct:
A. Writes the OpenShift Container Platform credentials to the current directory. → Incorrect
The --to=- option displays the credentials, but it does not write them to a file in the directory.
To save the credentials to a file, the command would need a filename, e.g., --to=admin-creds.txt.
B. Generates Base64 decoded secrets for all Cloud Pak for Integration users. → Incorrect
The command only extracts one specific secret (platform-auth-idp-credentials), which contains the admin credentials only.
It does not generate or decode secrets for all users.
D. Distributes credentials throughout the Cloud Pak for Integration platform. → Incorrect
The command extracts and displays credentials, but it does not distribute or propagate them.
Credentials distribution in Cloud Pak for Integration is handled through Identity and Access Management (IAM) configurations.
Explanation of Incorrect Answers:
IBM Cloud Pak Foundational Services - Retrieving Admin Credentials
OpenShift CLI (oc extract) Documentation
IBM Cloud Pak for Integration Identity and Access Management
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Which statement is true about the Authentication URL user registry in API Connect?
It authenticates Developer Portal sites.
It authenticates users defined in a provider organization.
It authenticates Cloud Manager users.
It authenticates users by referencing a custom identity provider.
In IBM API Connect, an Authentication URL user registry is a type of user registry that allows authentication by delegating user verification to an external identity provider. This is typically used when API Connect needs to integrate with custom authentication mechanisms, such as OAuth, OpenID Connect, or SAML-based identity providers.
When configured, API Connect does not store user credentials locally. Instead, it redirects authentication requests to the specified external authentication URL, and if the response is valid, the user is authenticated.
The Authentication URL user registry is specifically designed to reference an external custom identity provider.
This enables API Connect to integrate with external authentication systems like LDAP, Active Directory, OAuth, and OpenID Connect.
It is commonly used for single sign-on (SSO) and enterprise authentication strategies.
Why Answer D is Correct:
A. It authenticates Developer Portal sites. → Incorrect
The Developer Portal uses its own authentication mechanisms, such as LDAP, local user registries, and external identity providers, but the Authentication URL user registry does not authenticate Developer Portal users directly.
B. It authenticates users defined in a provider organization. → Incorrect
Users in a provider organization (such as API providers and administrators) are typically authenticated using Cloud Manager or an LDAP-based user registry, not via an Authentication URL user registry.
C. It authenticates Cloud Manager users. → Incorrect
Cloud Manager users are typically authenticated via LDAP or API Connect’s built-in user registry.
The Authentication URL user registry is not responsible for Cloud Manager authentication.
Explanation of Incorrect Answers:
IBM API Connect User Registry Types
IBM API Connect Authentication and User Management
IBM Cloud Pak for Integration Documentation
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
An administrator is deploying an MQ topology, and is checking that their Cloud Pak (or Integration (CP4I) license entitlement is covered. The administrator has 100 VPCs of CP4I licenses to use. The administrator wishes to deploy an MQ topology using the NativeHA feature.
Which statement is true?
No licenses, because only RDQM is supported on CP4I.
License entitlement is required for all of the HA replicas of the NativeHA MQ, not only the active MQ.
A different license from the standard CP4I license must be purchased from IBM to use the NativeHA feature.
The administrator can use their pool of CP4I licenses.
In IBM Cloud Pak for Integration (CP4I), IBM MQ Native High Availability (NativeHA) is a feature that enables automated failover and redundancy by maintaining multiple replicas of an MQ queue manager.
When using NativeHA, licensing in CP4I is calculated based on the total number of VPCs (Virtual Processor Cores) consumed by all MQ instances, including both active and standby replicas.
IBM MQ NativeHA uses a multi-replica setup, meaning there are multiple queue manager instances running simultaneously for redundancy.
Licensing in CP4I is based on the total CPU consumption of all running MQ replicas, not just the active instance.
Therefore, the administrator must ensure that all HA replicas are accounted for in their license entitlement.
Why Option B is Correct:
A. No licenses, because only RDQM is supported on CP4I. (Incorrect)
IBM MQ NativeHA is fully supported on CP4I alongside RDQM (Replicated Data Queue Manager). NativeHA is actually preferred over RDQM in containerized OpenShift environments.
C. A different license from the standard CP4I license must be purchased from IBM to use the NativeHA feature. (Incorrect)
No separate license is required for NativeHA – it is covered under the CP4I licensing model.
D. The administrator can use their pool of CP4I licenses. (Incorrect)
Partially correct but incomplete – while the administrator can use their CP4I licenses, they must ensure that all HA replicas are included in the license calculation, not just the active instance.
Analysis of the Incorrect Options:
IBM MQ Native High Availability Licensing
IBM Cloud Pak for Integration Licensing Guide
IBM MQ on CP4I - Capacity Planning and Licensing
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Where is the initial admin password stored during an installation of IBM Cloud Pak for Integration?
platform-auth-idp-credentials. in the 1AM service installation folder.
platform-auth-idp-credentials, in the ibm-common-services namespace.
platform-auth-idp-credentials, in the /sbin folder.
platform-auth-idp-credentials. in the master-node root folder.
During the installation of IBM Cloud Pak for Integration (CP4I), an initial admin password is automatically generated and securely stored in a Kubernetes secret called platform-auth-idp-credentials.
This secret is located in the ibm-common-services namespace, which is a central namespace used by IBM Cloud Pak Foundational Services to manage authentication, identity providers, and security.
The stored credentials are required for initial login to the IBM Cloud Pak platform and can be retrieved using OpenShift CLI (oc).
Retrieving the Initial Admin Password:To view the stored credentials, administrators can run the following command:
sh
Copy
oc get secret platform-auth-idp-credentials -n ibm-common-services -o jsonpath='{.data.admin_password}' | base64 --decode
This will decode and display the initial admin password.
A. platform-auth-idp-credentials in the IAM service installation folder (Incorrect)
The IAM (Identity and Access Management) service does store authentication-related configurations, but the admin password is specifically stored in a Kubernetes secret, not in a local file.
C. platform-auth-idp-credentials in the /sbin folder (Incorrect)
The /sbin folder is a system directory on Linux-based OSes, and IBM Cloud Pak for Integration does not store authentication credentials there.
D. platform-auth-idp-credentials in the master-node root folder (Incorrect)
IBM Cloud Pak stores authentication credentials securely within Kubernetes secrets, not directly in the root folder of the master node.
Analysis of Incorrect Options:
IBM Cloud Pak for Integration - Retrieving Admin Credentials
IBM Cloud Pak Foundational Services - Managing Secrets
Red Hat OpenShift - Managing Kubernetes Secrets
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Which two statements are true for installing a new instance of IBM Cloud Pak for Integration Operations Dashboard?
For shared data, a storage class that provides ReadWriteOnce (RWO) access mode of at least 100 MB is required.
A pull secret from IBM Entitled Registry must exist in the namespace containing an entitlement key.
If the OpenShift Container Platform Ingress Controller pod runs on the host network, the default namespace must be labeled with network.openshif t. io/contoller-group: ingress to allow traffic to the Operations Dashboard.
The vm.max_map_count sysctl setting on worker nodes must be higher than the operating system default.
For storing tracing data, a block storage class that provides ReadWriteMany (RWX) access mode and 10 IOPS of at least 10 GB is required.
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.
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:
Correct Answers:oc create secret docker-registry ibm-entitlement-key \
--docker-server=cp.icr.io \
--docker-username=cp \
--docker-password=
--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
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.
Explanation of Incorrect Options:
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
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
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.
Select all that apply
What is the correct sequence of steps to delete IBM MQ from IBM Cloud Pak for Integration?
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
What is one way to obtain the OAuth secret and register a workload to Identity and Access Management?
Extracting the ibm-entitlement-key secret.
Through the Red Hat Marketplace.
Using a Custom Resource Definition (CRD) file.
Using the OperandConfig API file
In IBM Cloud Pak for Integration (CP4I) v2021.2, workloads requiring authentication with Identity and Access Management (IAM) need an OAuth secret for secure access. One way to obtain this secret and register a workload is through the OperandConfig API file.
OperandConfig API is used in Cloud Pak for Integration to configure operands (software components).
It provides a mechanism to retrieve secrets, including the OAuth secret necessary for authentication with IBM IAM.
The OAuth secret is stored in a Kubernetes secret, and OperandConfig API helps configure and retrieve it dynamically for a registered workload.
Why Option D is Correct:
A. Extracting the ibm-entitlement-key secret. → Incorrect
The ibm-entitlement-key is used for entitlement verification when pulling IBM container images from IBM Container Registry.
It is not related to OAuth authentication or IAM registration.
B. Through the Red Hat Marketplace. → Incorrect
The Red Hat Marketplace is for purchasing and deploying OpenShift-based applications but does not provide OAuth secrets for IAM authentication in Cloud Pak for Integration.
C. Using a Custom Resource Definition (CRD) file. → Incorrect
CRDs define Kubernetes API extensions, but they do not directly handle OAuth secret retrieval for IAM registration.
The OperandConfig API is specifically designed for managing operand configurations, including authentication details.
Explanation of Incorrect Answers:
IBM Cloud Pak for Integration Identity and Access Management
IBM OperandConfig API Documentation
IBM Cloud Pak for Integration Security Configuration
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What is the effect of creating a second medium size profile?
The first profile will be replaced by the second profile.
The second profile will be configured with a medium size.
The first profile will be re-configured with a medium size.
The second profile will be configured with a large size.
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:
Which statement is true if multiple instances of Aspera HSTS exist in a clus-ter?
Each UDP port must be unique.
UDP and TCP ports have to be the same.
Each TCP port must be unique.
UDP ports must be the same.
In IBM Aspera High-Speed Transfer Server (HSTS), UDP ports are crucial for enabling high-speed data transfers. When multiple instances of Aspera HSTS exist in a cluster, each instance must be assigned a unique UDP port to avoid conflicts and ensure proper traffic routing.
Aspera HSTS relies on UDP for high-speed file transfers (as opposed to TCP, which is typically used for control and session management).
If multiple HSTS instances share the same UDP port, packet collisions and routing issues can occur.
Ensuring unique UDP ports across instances allows for proper load balancing and optimal performance.
B. UDP and TCP ports have to be the same.
Incorrect, because UDP and TCP serve different purposes in Aspera HSTS.
TCP is used for session initialization and control, while UDP is used for actual data transfer.
C. Each TCP port must be unique.
Incorrect, because TCP ports do not necessarily need to be unique across multiple instances, depending on the deployment.
TCP ports can be shared if proper load balancing and routing are configured.
D. UDP ports must be the same.
Incorrect, because using the same UDP port for multiple instances causes conflicts, leading to failed transfers or degraded performance.
Key Considerations for Aspera HSTS in a Cluster:Why Other Options Are Incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
IBM Aspera HSTS Configuration Guide
IBM Cloud Pak for Integration - Aspera Setup
IBM Aspera High-Speed Transfer Overview
If the App Connect Operator is installed in a restricted network, which statement is true?
Simple Storage Service (S3) can not be used for BAR files.
Ephemeral storage can not be used for BAR files.
Only Ephemeral storage is supported for BAR files.
Persistent Claim storage can not be used for BAR files.
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:
An administrator has been given an OpenShift Cluster to install Cloud Pak for Integration.
What can the administrator use to determine if the infrastructure pre-requisites are met by the cluster?
Use the oc cluster status command to dump the node capacity and utilization statistics for all the nodes.
Use the oc get nodes -o wide command to obtain the capacity and utilization statistics of memory and compute of the nodes.
Use the oc Use the oc describe nodes command to dump the node capacity and utilization statistics for all the nodes.
Use the adm top nodes command to obtain the capacity and utilization statistics of memory and compute of the nodes.
Before installing IBM Cloud Pak for Integration (CP4I) on an OpenShift Cluster, an administrator needs to verify that the cluster meets the infrastructure prerequisites such as CPU, memory, and overall resource availability.
The most effective way to check real-time resource utilization and capacity is by using the oc adm top nodes command.
This command provides a summary of CPU and memory usage for all nodes in the cluster.
It is part of the OpenShift administrator CLI (oc adm), which is designed for cluster-wide management.
The information is fetched from Metrics Server or Prometheus, giving accurate real-time data.
It helps administrators assess whether the cluster has sufficient resources to support CP4I deployment.
Why is oc adm top nodes the correct answer?Example usage:oc adm top nodes
Example Output:scss
Copy
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
worker-node-1 1500m 30% 8Gi 40%
worker-node-2 1200m 25% 6Gi 30%
Why the Other Options Are Incorrect?Option
Explanation
Correct?
A. Use the oc cluster status command to dump the node capacity and utilization statistics for all the nodes.
❌ Incorrect – The oc cluster status command does not exist in OpenShift CLI. Instead, oc status gives a summary of the cluster but does not provide node resource utilization.
❌
B. Use the oc get nodes -o wide command to obtain the capacity and utilization statistics of memory and compute of the nodes.
❌ Incorrect – The oc get nodes -o wide command only shows basic node details like OS, internal/external IPs, and roles. It does not display CPU or memory utilization.
❌
C. Use the oc describe nodes command to dump the node capacity and utilization statistics for all the nodes.
❌ Incorrect – The oc describe nodes command provides detailed information about a node, but not real-time resource usage. It lists allocatable resources but does not give current utilization stats.
❌
Final Answer:✅ D. Use the oc adm top nodes command to obtain the capacity and utilization statistics of memory and compute of the nodes.
IBM Cloud Pak for Integration - OpenShift Infrastructure Requirements
Red Hat OpenShift CLI Reference - oc adm top nodes
Red Hat OpenShift Documentation - Resource Monitoring
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
An administrator is installing Cloud Pak for Integration onto an OpenShift cluster that does not have access to the internet.
How do they provide their ibm-entitlement-key when mirroring images to a portable registry?
The administrator uses a cloudctl case command to configure credentials for registries which require authentication before mirroring the images.
The administrator sets the key with "export ENTITLEMENTKEY" and then uses the "cloudPakOfflmelnstaller -mirror-images" script to mirror the images
The administrator adds the entitlement-key to the properties file SHOME/.airgap/registries on the Bastion Host.
The ibm-entitlement-key is added as a docker-registry secret onto the OpenShift cluster.
When installing IBM Cloud Pak for Integration (CP4I) on an OpenShift cluster that lacks internet access, an air-gapped installation is required. This process involves mirroring container images from an IBM container registry to a portable registry that can be accessed by the disconnected OpenShift cluster.
To authenticate and mirror images, the administrator must:
Use the cloudctl case command to configure credentials, including the IBM entitlement key, before initiating the mirroring process.
Authenticate with the IBM Container Registry using the entitlement key.
Mirror the required images from IBM’s registry to a local registry that the disconnected OpenShift cluster can access.
B. export ENTITLEMENTKEY and cloudPakOfflineInstaller -mirror-images
The command cloudPakOfflineInstaller -mirror-images is not a valid IBM Cloud Pak installation step.
IBM requires the use of cloudctl case commands for air-gapped installations.
C. Adding the entitlement key to .airgap/registries
There is no documented requirement to store the entitlement key in SHOME/.airgap/registries.
IBM Cloud Pak for Integration does not use this file for authentication.
D. Adding the ibm-entitlement-key as a Docker secret
While secrets are used in OpenShift for image pulling, they are not directly involved in mirroring images for air-gapped installations.
The entitlement key is required at the mirroring step, not when deploying the images.
Why Other Options Are Incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
IBM Documentation: Installing Cloud Pak for Integration in an Air-Gapped Environment
IBM Cloud Pak Entitlement Key and Image Mirroring
OpenShift Air-Gapped Installation Guide
Which statement is true about enabling open tracing for API Connect?
Only APIs using API Gateway can be traced in the Operations Dashboard.
API debug data is made available in OpenShift cluster logging.
This feature is only available in non-production deployment profiles
Trace data can be viewed in Analytics dashboards
Open Tracing in IBM API Connect allows for distributed tracing of API calls across the system, helping administrators analyze performance bottlenecks and troubleshoot issues. However, this capability is specifically designed to work with APIs that utilize the API Gateway.
Option A (Correct Answer): IBM API Connect integrates with OpenTracing for API Gateway, allowing the tracing of API requests in the Operations Dashboard. This provides deep visibility into request flows and latencies.
Option B (Incorrect): API debug data is not directly made available in OpenShift cluster logging. Instead, API tracing data is captured using OpenTracing-compatible tools.
Option C (Incorrect): OpenTracing is available for all deployment profiles, including production, not just non-production environments.
Option D (Incorrect): Trace data is not directly visible in Analytics dashboards but rather in the Operations Dashboard where administrators can inspect API request traces.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
IBM API Connect Documentation – OpenTracing
IBM Cloud Pak for Integration - API Gateway Tracing
IBM API Connect Operations Dashboard Guide
An administrator is installing the Cloud Pak for Integration operators via the CLI. They have created a YAML file describing the "ibm-cp-integration" subscription which will be installed in a new namespace.
Which resource needs to be added before the subscription can be applied?
An OperatorGroup resource.
The ibm-foundational-services operator and subscription
The platform-navigator operator and subscription.
The ibm-common-services namespace.
When installing IBM Cloud Pak for Integration (CP4I) operators via the CLI, the Operator Lifecycle Manager (OLM) requires an OperatorGroup resource before applying a Subscription.
OperatorGroup defines the scope (namespace) in which the operator will be deployed and managed.
It ensures that the operator has the necessary permissions to install and operate in the specified namespace.
Without an OperatorGroup, the subscription for ibm-cp-integration cannot be applied, and the installation will fail.
Create a new namespace (if not already created):
Why an OperatorGroup is Required:Steps for CLI Installation:oc create namespace cp4i-namespace
Create the OperatorGroup YAML (e.g., operatorgroup.yaml):
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: cp4i-operatorgroup
namespace: cp4i-namespace
spec:
targetNamespaces:
- cp4i-namespace
Apply it using:
oc apply -f operatorgroup.yaml
Apply the Subscription YAML for ibm-cp-integration once the OperatorGroup exists.
B. The ibm-foundational-services operator and subscription
While IBM Foundational Services is required for some Cloud Pak features, its absence does not prevent the creation of an operator subscription.
C. The platform-navigator operator and subscription
Platform Navigator is an optional component and is not required before installing the ibm-cp-integration subscription.
D. The ibm-common-services namespace
The IBM Common Services namespace is used for foundational services, but it is not required for defining an operator subscription in a new namespace.
Why Other Options Are Incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
IBM Cloud Pak for Integration Operator Installation Guide
Red Hat OpenShift - Operator Lifecycle Manager (OLM) Documentation
IBM Common Services and Foundational Services Overview
Which of the following would contain mqsc commands for queue definitions to be executed when new MQ containers are deployed?
MORegistry
CCDTJSON
Operatorlmage
ConfigMap
In IBM Cloud Pak for Integration (CP4I) v2021.2, when deploying IBM MQ containers in OpenShift, queue definitions and other MQSC (MQ Script Command) commands need to be provided to configure the MQ environment dynamically. This is typically done using a Kubernetes ConfigMap, which allows administrators to define and inject configuration files, including MQSC scripts, into the containerized MQ instance at runtime.
A ConfigMap in OpenShift or Kubernetes is used to store configuration data as key-value pairs or files.
For IBM MQ, a ConfigMap can include an MQSC script that contains queue definitions, channel settings, and other MQ configurations.
When a new MQ container is deployed, the ConfigMap is mounted into the container, and the MQSC commands are executed to set up the queues.
Why is ConfigMap the Correct Answer?Example Usage:A sample ConfigMap containing MQSC commands for queue definitions may look like this:
apiVersion: v1
kind: ConfigMap
metadata:
name: my-mq-config
data:
10-create-queues.mqsc: |
DEFINE QLOCAL('MY.QUEUE') REPLACE
DEFINE QLOCAL('ANOTHER.QUEUE') REPLACE
This ConfigMap can then be referenced in the MQ Queue Manager’s deployment configuration to ensure that the queue definitions are automatically executed when the MQ container starts.
A. MORegistry - Incorrect
The MORegistry is not a component used for queue definitions. Instead, it relates to Managed Objects in certain IBM middleware configurations.
B. CCDTJSON - Incorrect
CCDTJSON refers to Client Channel Definition Table (CCDT) in JSON format, which is used for defining MQ client connections rather than queue definitions.
C. OperatorImage - Incorrect
The OperatorImage contains the IBM MQ Operator, which manages the lifecycle of MQ instances in OpenShift, but it does not store queue definitions or execute MQSC commands.
IBM Documentation: Configuring IBM MQ with ConfigMaps
IBM MQ Knowledge Center: Using MQSC commands in Kubernetes ConfigMaps
IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide
Analysis of Other Options:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Which statement is true about the Confluent Platform capability for the IBM Cloud Pak for Integration?
It provides the ability to trace transactions through IBM Cloud Pak for Integration.
It provides a capability that allows user to store, manage, and retrieve integration assets in IBM Cloud Pak for Integration.
It provides APIs to discover applications, platforms, and infrastructure in the environment.
It provides an event-streaming platform to organize and manage data from many different sources with one reliable, high performance system.
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:
An API Conned administrator runs the command shown below:
Given the output of the command, what is the state of the API Connect components?
The Analytics subsystem cannot retain historical data.
Developer Portal sites will be unresponsive.
Automated API behavior testing has failed.
New API calls will be rejected by the gateway service.
The command executed is:
sh
CopyEdit
oc get po
This command lists the pods running in an OpenShift (OCP) cluster where IBM API Connect is deployed.
Most API Connect management components (apic-dev-mgmt-xxx) are in a Running state, which indicates that the core API Connect system is operational.
The apic-dev-mgmt-turnstile pod is in a CrashLoopBackOff state, with 301 restarts, indicating that this component has repeatedly failed to start properly.
The Turnstile pod is a critical component of the IBM API Connect Developer Portal.
It manages authentication and access control for the Developer Portal, ensuring that API consumers can access the portal and manage API subscriptions.
When Turnstile is failing, the Developer Portal becomes unresponsive because authentication requests cannot be processed.
Key Observations from the Output:Understanding the Turnstile Component:
Since the Turnstile pod is failing, the Developer Portal will not function properly, preventing users from accessing API documentation and managing API subscriptions.
API providers and consumers will not be able to log in or interact with the Developer Portal.
Why Answer B is Correct?
A. The Analytics subsystem cannot retain historical data. → Incorrect
The Analytics-related pods (e.g., apic-dev-analytics-xxx) are in a Running state.
If the Analytics component were failing, metrics collection and historical API call data would be impacted, but this is not indicated in the output.
C. Automated API behavior testing has failed. → Incorrect
There is no evidence in the pod list that API testing-related components (such as test clients or monitoring tools) have failed.
D. New API calls will be rejected by the gateway service. → Incorrect
The gateway service is not shown as failing in the provided output.
API traffic flows through the Gateway pods (typically apic-gateway-xxx), and they appear to be running fine.
If gateway-related pods were failing, API call processing would be affected, but that is not the case here.
Explanation of Incorrect Answers:
IBM API Connect Deployment on OpenShift
Troubleshooting Developer Portal Issues
Understanding API Connect Components
OpenShift Troubleshooting Pods
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
Starling with Common Services 3.6, which two monitoring service modes are available?
OCP Monitoring
OpenShift Common Monitoring
C CP4I Monitoring
CS Monitoring
Grafana Monitoring
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:
The OpenShift Logging Operator monitors a particular Custom Resource (CR). What is the name of the Custom Resource used by the OpenShift Logging Opera-tor?
ClusterLogging
DefaultLogging
ElasticsearchLog
LoggingResource
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:
What type of storage is required by the API Connect Management subsystem?
NFS
RWX block storage
RWO block storage
GlusterFS
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.
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.
IBM Cloud Block Storage
AWS EBS (Elastic Block Store)
Azure Managed Disks
VMware vSAN
Why "RWO Block Storage" is Required?Common Block Storage Options for API Connect on OpenShift:
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 API Connect System Requirements
IBM Cloud Pak for Integration Storage Recommendations
Red Hat OpenShift Storage Documentation
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
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