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IBM Cloud Pak for Integration V2021.2 Administration certification exam is designed for professionals who have experience in administering IBM Cloud Pak for Integration solutions. IBM Cloud Pak for Integration V2021.2 Administration certification exam is intended to validate the candidate's knowledge and skills in configuring, deploying, and managing IBM Cloud Pak for Integration solutions on various platforms, such as Kubernetes and Red Hat OpenShift.

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IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q18-Q23):

NEW QUESTION # 18
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. This represents a Active/Passive deployment (or Portal and Management ser-vices.
• B. This represents an Active/Active deployment for Gateway and Analytics services.
• C. 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.
• D. This represents a distributed Kubernetes cluster across the sites.
• E. A. Regular back-ups of the API Manager and Portal have to be taken and these backups should be replicated to the second site.

Answer: B,E

Explanation:
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.
Reference:
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

 

NEW QUESTION # 19
When Instantiating a new capability through the Platform Navigator, what must be done to see distributed tracing data?

• A. Register the capability with the Operations Dashboard
• B. Press the 'enable' button In the Operations Dashboard.
• C. Add 'operationsDashboard: true' to the deployment YAML.
• D. Run the oc register command against the capability.

Answer: A

 

NEW QUESTION # 20
Select all that apply
What is the correct sequence of steps to delete IBM MQ from IBM Cloud Pak for Integration?

Answer:

Explanation:

 

NEW QUESTION # 21
Which capability describes and catalogs the APIs of Kafka event sources and socializes those APIs with application developers?

• A. REST Endpoint Management
• B. Event Endpoint Management
• C. API Endpoint Management
• D. Gateway Endpoint Management

Answer: B

Explanation:
https://www.ibm.com/docs/en/cloud-paks/cp-integration/2021.3?topic=socializing-your-kafka-event-sources

 

NEW QUESTION # 22
Which of the following contains sensitive data to be injected when new IBM MO containers are deployed?

• A. Replicator
• B. Secret
• C. DeploymentConflg
• D. MQRegistry

Answer: B

Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, when new IBM MQ (Message Queue) containers are deployed, sensitive data such as passwords, credentials, and encryption keys must be securely injected into the container environment.
The correct Kubernetes object for storing and injecting sensitive data is a Secret.
Why is "Secret" the correct answer?
Kubernetes Secrets securely store sensitive data
Secrets allow IBM MQ containers to retrieve authentication credentials (e.g., admin passwords, TLS certificates, and API keys) without exposing them in environment variables or config maps.
Unlike ConfigMaps, Secrets are encrypted and access-controlled, ensuring security compliance.
Used by IBM MQ Operator
When deploying IBM MQ in OpenShift/Kubernetes, the MQ operator references Secrets to inject necessary credentials into MQ containers.
Example:
apiVersion: v1
kind: Secret
metadata:
name: mq-secret
type: Opaque
data:
mq-password: bXlxYXNzd29yZA==
The MQ container can then access this mq-password securely.
Prevents hardcoding sensitive data
Instead of storing passwords directly in deployment files, using Secrets enhances security and compliance with enterprise security standards.
Why are the other options incorrect?
❌ A. Replicator
The Replicator is responsible for synchronizing and replicating messages across MQ queues but does not store sensitive credentials.
❌ B. MQRegistry
The MQRegistry is used for tracking queue manager details but does not manage sensitive data injection.
It mainly helps with queue manager registration and configuration.
❌ C. DeploymentConfig
A DeploymentConfig in OpenShift defines how pods should be deployed but does not handle sensitive data injection.
Instead, DeploymentConfig can reference a Secret, but it does not store sensitive information itself.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM MQ Security - Kubernetes Secrets
IBM Docs - Securely Managing MQ in Kubernetes
IBM Cloud Pak for Integration Knowledge Center
Covers how Secrets are used in MQ container deployments.
Red Hat OpenShift Documentation - Kubernetes Secrets
Secrets in Kubernetes

 

NEW QUESTION # 23
......

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