Which statement is true regarding tracing in Cloud Pak for Integration?
If tracing has not been enabled, the administrator can turn it on without the need to redeploy the integration capability.
Distributed tracing data is enabled by default when a new capability is in-stantiated through the Platform Navigator.
The administrator can schedule tracing to run intermittently for each speci-fied integration capability.
Tracing for an integration capability instance can be enabled only when de-ploying the instance.
The Answer Is:
DExplanation:
In IBM Cloud Pak for Integration (CP4I), distributed tracing allows administrators to monitor the flow of requests across multiple services. This feature helps in diagnosing performance issues and debugging integration flows.
Tracing must be enabled during the initial deployment of an integration capability instance.
Once deployed, tracing settings cannot be changed dynamically without redeploying the instance.
This ensures that tracing configurations are properly set up and integrated with observability tools like OpenTelemetry, Jaeger, or Zipkin.
A. If tracing has not been enabled, the administrator can turn it on without the need to redeploy the integration capability. (Incorrect)
Tracing cannot be enabled after deployment. It must be configured during the initial deployment process.
B. Distributed tracing data is enabled by default when a new capability is instantiated through the Platform Navigator. (Incorrect)
Tracing is not enabled by default. The administrator must manually enable it during deployment.
C. The administrator can schedule tracing to run intermittently for each specified integration capability. (Incorrect)
There is no scheduling option for tracing in CP4I. Once enabled, tracing runs continuously based on the chosen settings.
D. Tracing for an integration capability instance can be enabled only when deploying the instance. (Correct)
This is the correct answer. Tracing settings are defined at deployment and cannot be modified afterward without redeploying the instance.
Analysis of the Options:
IBM Cloud Pak for Integration - Tracing and Monitoring
Enabling Distributed Tracing in IBM CP4I
IBM OpenTelemetry and Jaeger Tracing Integration
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
The Answer Is:
B, EExplanation:
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 type of storage is required by the API Connect Management subsystem?
NFS
RWX block storage
RWO block storage
GlusterFS
The Answer Is:
CExplanation:
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:
What ate the two possible options to upgrade Common Services from the Extended Update Support (EUS) version (3.6.x) to the continuous delivery versions (3.7.x or later)?
Click the Update button on the Details page of the common-services operand.
Select the Update Common Services option from the Cloud Pak Administration Hub console.
Use the OpenShift web console to change the operator channel from stable-v1 to v3.
Run the script provided by IBM using links available in the documentation.
Click the Update button on the Details page of the IBM Cloud Pak Founda-tional Services operator.
The Answer Is:
D, EExplanation:
IBM Cloud Pak for Integration (CP4I) v2021.2 relies on IBM Cloud Pak Foundational Services, which was previously known as IBM Common Services. Upgrading from the Extended Update Support (EUS) version (3.6.x) to a continuous delivery version (3.7.x or later) requires following IBM's recommended upgrade paths. The two valid options are:
Using IBM's provided script (Option D):
IBM provides a script specifically designed to upgrade Cloud Pak Foundational Services from an EUS version to a later continuous delivery (CD) version.
This script automates the necessary upgrade steps and ensures dependencies are properly handled.
IBM's official documentation includes the script download links and usage instructions.
Using the IBM Cloud Pak Foundational Services operator update button (Option E):
The IBM Cloud Pak Foundational Services operator in the OpenShift web console provides an update button that allows administrators to upgrade services.
This method is recommended by IBM for in-place upgrades, ensuring minimal disruption while moving from 3.6.x to a later version.
The upgrade process includes rolling updates to maintain high availability.
Option A (Click the Update button on the Details page of the common-services operand):
There is no direct update button at the operand level that facilitates the entire upgrade from EUS to CD versions.
The upgrade needs to be performed at the operator level, not just at the operand level.
Option B (Select the Update Common Services option from the Cloud Pak Administration Hub console):
The Cloud Pak Administration Hub does not provide a direct update option for Common Services.
Updates are handled via OpenShift or IBM’s provided scripts.
Option C (Use the OpenShift web console to change the operator channel from stable-v1 to v3):
Simply changing the operator channel does not automatically upgrade from an EUS version to a continuous delivery version.
IBM requires following specific upgrade steps, including running a script or using the update button in the operator.
Incorrect Options and Justification:
IBM Cloud Pak Foundational Services Upgrade Documentation:
IBM Official Documentation
IBM Cloud Pak for Integration v2021.2 Knowledge Center
IBM Redbooks and Technical Articles on CP4I Administration
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What is the minimum number of Elasticsearch nodes required for a highly-available logging solution?
1
2
3
7
The Answer Is:
CExplanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is handled using the OpenShift Logging Operator, which often utilizes Elasticsearch as the log storage backend.
For a highly available (HA) Elasticsearch cluster, the minimum number of nodes required is 3.
Elasticsearch uses a quorum-based system for cluster state management.
A minimum of three nodes ensures that the cluster can maintain a quorum in case one node fails.
HA requires at least two master-eligible nodes, and with three nodes, the system can elect a new master if the active one fails.
Replication across three nodes prevents data loss and improves fault tolerance.
Why Are 3 Elasticsearch Nodes Required for High Availability?Example Elasticsearch Deployment for HA:A standard HA Elasticsearch setup consists of:
3 master-eligible nodes (manage cluster state).
At least 2 data nodes (store logs and allow redundancy).
Optional client nodes (handle queries to offload work from data nodes).
Ensures HA by allowing Elasticsearch to withstand node failures without loss of cluster control.
Prevents split-brain scenarios, which occur when an even number of nodes (e.g., 2) cannot reach a quorum.
Recommended by IBM and Red Hat for OpenShift logging solutions.
Why Answer C (3) is Correct?
A. 1 → Incorrect
A single-node Elasticsearch deployment is not HA because if the node fails, all logs are lost.
B. 2 → Incorrect
Two nodes cannot form a quorum, meaning the cluster cannot elect a leader reliably.
This could lead to split-brain scenarios or a complete failure when one node goes down.
D. 7 → Incorrect
While a larger cluster (e.g., 7 nodes) improves scalability and performance, it is not the minimum requirement for HA.
Three nodes are sufficient for high availability.
Explanation of Incorrect Answers:
IBM Cloud Pak for Integration Logging and Monitoring
OpenShift Logging Operator - Elasticsearch Deployment
Elasticsearch High Availability Best Practices
IBM OpenShift Logging Solution Architecture
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What is a prerequisite when configuring foundational services IAM for single-sign-on?
Access to the OpenShift Container Platform console as kubeadmin.
Access to IBM Cloud Pak for Integration as kubeadmin.
Access to OpenShift cluster as root.
Access to IAM service as administrator.
The Answer Is:
DExplanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, Identity and Access Management (IAM) is part of Foundational Services, which provides authentication and authorization across different modules within CP4I.
When configuring IAM for single sign-on (SSO), the administrator must have administrator access to the IAM service. This is essential for:
Integrating external identity providers (IdPs) such as LDAP, SAML, or OIDC.
Managing user roles and access control policies across the Cloud Pak environment.
Configuring SSO settings for seamless authentication across all IBM Cloud Pak services.
IAM service administrators have full control over authentication and SSO settings.
They can configure and integrate identity providers for authentication.
This level of access is required to modify IAM settings in Cloud Pak for Integration.
Why Answer D (Access to IAM service as administrator) is Correct?
A. Access to the OpenShift Container Platform console as kubeadmin. → Incorrect
While kubeadmin is a cluster-wide OpenShift administrator, this role does not grant IAM administrative privileges in Cloud Pak Foundational Services.
IAM settings are managed within IBM Cloud Pak, not solely through OpenShift.
B. Access to IBM Cloud Pak for Integration as kubeadmin. → Incorrect
kubeadmin can manage OpenShift resources, but IAM requires specific access to the IAM service within Cloud Pak.
IAM administrators are responsible for configuring authentication, SSO, and identity providers.
C. Access to OpenShift cluster as root. → Incorrect
Root access is not relevant here because OpenShift does not use root users for administration.
IAM configurations are done within Cloud Pak, not at the OpenShift OS level.
Explanation of Incorrect Answers:
IBM Cloud Pak Foundational Services - IAM Configuration
Configuring Single Sign-On (SSO) in IBM Cloud Pak
IBM Cloud Pak for Integration Security Overview
OpenShift Authentication and Identity Management
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What is one method that can be used to uninstall IBM Cloud Pak for Integra-tion?
Uninstall.sh
Cloud Pak for Integration console
Operator Catalog
OpenShift console
The Answer Is:
DExplanation:
Uninstalling IBM Cloud Pak for Integration (CP4I) v2021.2 requires removing the operators, instances, and related resources from the OpenShift cluster. One method to achieve this is through the OpenShift console, which provides a graphical interface for managing operators and deployments.
The OpenShift Web Console allows administrators to:
Navigate to Operators → Installed Operators and remove CP4I-related operators.
Delete all associated custom resources (CRs) and namespaces where CP4I was deployed.
Ensure that all PVCs (Persistent Volume Claims) and secrets associated with CP4I are also deleted.
This is an officially supported method for uninstalling CP4I in OpenShift environments.
Why Option D (OpenShift Console) is Correct:
A. Uninstall.sh → ❌ Incorrect
There is no official Uninstall.sh script provided by IBM for CP4I removal.
IBM’s documentation recommends manual removal through OpenShift.
B. Cloud Pak for Integration console → ❌ Incorrect
The CP4I console is used for managing integration components but does not provide an option to uninstall CP4I itself.
C. Operator Catalog → ❌ Incorrect
The Operator Catalog lists available operators but does not handle uninstallation.
Operators need to be manually removed via the OpenShift Console or CLI.
Explanation of Incorrect Answers:
Uninstalling IBM Cloud Pak for Integration
OpenShift Web Console - Removing Installed Operators
Best Practices for Uninstalling Cloud Pak on OpenShift
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
After setting up OpenShift Logging an index pattern in Kibana must be created to retrieve logs for Cloud Pak for Integration (CP4I) applications. What is the correct index for CP4I applications?
cp4i-*
applications*
torn-*
app-*
The Answer Is:
BExplanation:
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
Which service receives audit data and collects application logs in Cloud Pak Foundational Services?
logging service
audit-syslog-service
systemd journal
fluentd service
The Answer Is:
BExplanation:
In IBM Cloud Pak Foundational Services, the audit-syslog-service is responsible for receiving audit data and collecting application logs. This service ensures that security and compliance-related events are properly recorded and made available for analysis.
The audit-syslog-service is a key component of Cloud Pak's logging and monitoring framework, specifically designed to capture audit logs from various services.
It can forward logs to external SIEM (Security Information and Event Management) systems or centralized log collection tools for further analysis.
It helps organizations meet compliance and governance requirements by maintaining detailed audit trails.
Why is audit-syslog-service the correct answer?
A. logging service (Incorrect)
While Cloud Pak Foundational Services include a logging service, it is primarily for general application logging and does not specifically handle audit data collection.
C. systemd journal (Incorrect)
systemd journal is the default system log manager on Linux but is not the dedicated service for handling Cloud Pak audit logs.
D. fluentd service (Incorrect)
Fluentd is a log forwarding agent used for collecting and transporting logs, but it does not directly receive audit data in Cloud Pak Foundational Services. It can be used in combination with audit-syslog-service for log aggregation.
Analysis of the Incorrect Options:
IBM Cloud Pak Foundational Services - Audit Logging
IBM Cloud Pak for Integration Logging and Monitoring
Configuring Audit Log Forwarding in IBM Cloud Pak
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
What does IBM MQ provide within the Cloud Pak for Integration?
Works with a limited range of computing platforms.
A versatile messaging integration from mainframe to cluster.
Cannot be deployed across a range of different environments.
Message delivery with security-rich and auditable features.
The Answer Is:
DExplanation:
Within IBM Cloud Pak for Integration (CP4I) v2021.2, IBM MQ is a key messaging component that ensures reliable, secure, and auditable message delivery between applications and services. It is designed to facilitate enterprise messaging by guaranteeing message delivery, supporting transactional integrity, and providing end-to-end security features.
IBM MQ within CP4I provides the following capabilities:
Secure Messaging – Messages are encrypted in transit and at rest, ensuring that sensitive data is protected.
Auditable Transactions – IBM MQ logs all transactions, allowing for traceability, compliance, and recovery in the event of failures.
High Availability & Scalability – Can be deployed in containerized environments using OpenShift and Kubernetes, supporting both on-premises and cloud-based workloads.
Integration Across Multiple Environments – Works across different operating systems, cloud providers, and hybrid infrastructures.
Option A (Works with a limited range of computing platforms) – Incorrect: IBM MQ is platform-agnostic and supports multiple operating systems (Windows, Linux, z/OS) and cloud environments (AWS, Azure, Google Cloud, IBM Cloud).
Option B (A versatile messaging integration from mainframe to cluster) – Incorrect: While IBM MQ does support messaging from mainframes to distributed environments, this option does not fully highlight its primary function of secure and auditable messaging.
Option C (Cannot be deployed across a range of different environments) – Incorrect: IBM MQ is highly flexible and can be deployed on-premises, in hybrid cloud, or in fully managed cloud services like IBM MQ on Cloud.
IBM MQ Overview
IBM Cloud Pak for Integration Documentation
IBM MQ Security and Compliance Features
IBM MQ Deployment Options
Why the other options are incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:
