IBM C1000-130 IBM Cloud Pak for Integration V2021.2 Administration Exam Practice Test

Answer : D

In IBM Cloud Pak for Integration (CP4I) v2021.2, the Operations Dashboard provides a tracing feature that allows users to visually track distributed transactions as they move through various integration components. This includes tracing the flow from an API entry point, through an integration flow, and into an IBM MQ queue.

Key Features of the Operations Dashboard:

Provides end-to-end tracing of transactions across multiple integration components.

Helps users visualize the journey of a request, including API calls, integration flows, and MQ interactions.

Supports troubleshooting by identifying performance bottlenecks and errors.

Displays real-time monitoring data, including latency and errors across the system.

Why Not the Other Options?

A . Asset Manager -- This is used for managing, cataloging, and governing integration assets, but it does not provide tracing.

B . Integration Designer -- This is used for designing integration flows but does not provide real-time tracing of transactions.

C . Confluent Platform -- This is a Kafka-based event streaming platform, not a transaction tracing tool in CP4I.

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

IBM Documentation -- Operations Dashboard Overview

IBM Cloud Pak for Integration Monitoring and Tracing Guide

IBM MQ Tracing in Operations Dashboard

Answer : C

To trigger OLM to start upgrading the Platform Navigator operator, follow these steps:

Go to the OpenShift Web Console.

Navigate to Operators > Installed Operators.

Select the Platform Navigator operator from the list.

Click on the Subscription tab.

Change the channel version to the latest available version.

OLM will detect this change and automatically trigger the upgrade process.

Why this is correct?

OLM follows the subscription model, where the selected channel dictates the upgrade path.

By selecting a newer channel, OLM automatically pulls and installs the latest available version.

Explanation of Incorrect Options:

A. Navigate to the Installed Operators, select the Platform Navigator operator and click the Upgrade button on the Details page.

There is no direct Upgrade button on the Details page for OLM-managed operators.

Instead, upgrades are controlled via subscriptions and channels.

B. Navigate to the Installed Operators, select the Platform Navigator operator, select the operand instance, and select Upgrade from the Actions list.

Operand instances (e.g., Platform Navigator deployment) do not control operator upgrades.

The operator itself must be upgraded through OLM at the subscription level.

D. Open the Platform Navigator web interface and select Update from the main menu.

The Platform Navigator web UI does not have an option to trigger operator upgrades.

Operator management is handled within OpenShift OLM, not inside the application interface.

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

IBM Cloud Pak for Integration Operator Management: IBM Docs - Managing Operators

Red Hat OpenShift OLM Documentation: Upgrading Operators via Subscription

IBM Platform Navigator Installation & Upgrade Guide: IBM Docs - Platform Navigator

Final Answer:

C. Navigate to the Installed Operators, select the Platform Navigator operator and select the latest channel version on the Subscription tab.

Answer : B, E

Single Sign-On (SSO) is an authentication mechanism that allows users to log in once and gain access to multiple applications without re-entering credentials. In IBM Cloud Pak for Integration (CP4I), Enterprise LDAP and OpenShift authentication both support SSO.

Enterprise LDAP (B) -- Supports SSO

Lightweight Directory Access Protocol (LDAP) is commonly used in enterprises for centralized authentication.

CP4I can integrate with Enterprise LDAP, allowing users to authenticate once and access multiple cloud services without needing separate logins.

OpenShift Authentication (E) -- Supports SSO

OpenShift provides OAuth-based authentication, enabling SSO across multiple OpenShift-integrated services.

CP4I uses OpenShift's built-in identity provider to allow seamless user authentication across different Cloud Pak components.

Analysis of the Incorrect Options:

A . 2FA (Incorrect):

Two-Factor Authentication (2FA) enhances security by requiring an additional verification step but does not inherently support SSO.

C . Plain Text over HTTPS (Incorrect):

Plain text authentication is insecure and does not support SSO.

D . Enterprise SSH (Incorrect):

SSH authentication is used for remote access to servers but is not related to SSO.

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

IBM Cloud Pak for Integration Authentication & SSO Guide

Red Hat OpenShift Authentication and Identity Providers

IBM Cloud Pak - Integrating with Enterprise LDAP

Answer : D

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, the component responsible for determining the placement of workloads (pods) on worker nodes is the Scheduler.

Explanation of OpenShift Components:

API Server (Option A): The API Server is the front-end of the OpenShift and Kubernetes control plane, handling REST API requests, authentication, and cluster state updates. However, it does not decide where workloads should be placed.

Controller Manager (Option B): The Controller Manager ensures the desired state of the system by managing controllers (e.g., ReplicationController, NodeController). It does not handle pod placement.

Etcd (Option C): Etcd is the distributed key-value store used by OpenShift and Kubernetes to store cluster state data. It plays no role in scheduling workloads.

Scheduler (Option D - Correct Answer): The Scheduler is responsible for selecting the most suitable node to run a newly created pod based on resource availability, affinity/anti-affinity rules, and other constraints.

Why the Scheduler is Correct?

When a new pod is created, it initially has no assigned node.

The Scheduler evaluates all worker nodes and assigns the pod to the most appropriate node, ensuring balanced resource utilization and policy compliance.

In CP4I, efficient workload placement is crucial for maintaining performance and resilience, and the Scheduler ensures that workloads are optimally distributed across the cluster.

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

IBM CP4I Documentation -- Deploying on OpenShift

Red Hat OpenShift Documentation -- Understanding the Scheduler

Kubernetes Documentation -- Scheduler

Answer : B, E

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:

1. Connectivity Agent ( Correct Answer)

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.

2. Routing Agent ( Correct Answer)

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.

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

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

Answer : A

In IBM Cloud Pak for Integration (CP4I) v2021.2, the IBM License Service collects and retains license usage data for a default period of 90 days. This data is crucial for auditing and compliance, ensuring that software usage aligns with licensing agreements.

Key Details About the IBM License Service Data Retention:

The IBM License Service continuously collects and stores licensing data.

By default, it retains data for 90 days before older data is automatically removed.

Users can query and retrieve usage reports from this 90-day period.

The License Service supports regulatory compliance by ensuring transparent tracking of software usage.

Why Not the Other Options?

B . The full period from the deployment -- Incorrect. The License Service does not retain data indefinitely; it follows a rolling 90-day retention policy.

C . 30 days -- Incorrect. The default retention period is longer than 30 days.

D . 60 days -- Incorrect. The default is 90 days, not 60.

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

IBM License Service Documentation

IBM Cloud Pak for Integration v2021.2 -- Licensing Guide

IBM Support -- License Service Data Retention Policy

Answer : A

In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on OpenShift Container Platform (OCP), administrators can configure log forwarding to an external log aggregator (e.g., Elasticsearch, Splunk, or Loki).

OCP uses Fluentd as the log collector, and when log forwarding fails due to the external logging aggregator becoming unavailable, the following happens:

Fluentd buffers the logs in memory (up to a defined limit).

If the buffer reaches its maximum size, OCP follows its default log management policy:

Older logs are rotated and deleted to make space for new logs.

This prevents excessive storage consumption on the OpenShift cluster.

This behavior ensures that the logging system does not stop functioning but rather manages storage efficiently by deleting older logs once the buffer is full.

Why Answer A is Correct?

Log rotation is a default behavior in OCP when storage limits are reached.

If logs cannot be forwarded and the buffer is full, OCP deletes old logs to continue operations.

This is a standard logging mechanism to prevent resource exhaustion.

Explanation of Incorrect Answers:

B . OCP stores the logs in a temporary PVC. Incorrect

OCP does not automatically store logs in a Persistent Volume Claim (PVC).

Logs are buffered in memory and not redirected to PVC storage unless explicitly configured.

C . OCP extends the buffer size and resumes log collection. Incorrect

The buffer size is fixed and does not dynamically expand.

Instead of increasing the buffer, older logs are rotated out when the limit is reached.

D . The Fluentd daemon is forced to stop. Incorrect

Fluentd does not stop when the external log aggregator is down.

It continues collecting logs, buffering them until the limit is reached, and then follows log rotation policies.

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

IBM Cloud Pak for Integration Logging and Monitoring

OpenShift Logging Overview

Fluentd Log Forwarding in OpenShift

OpenShift Log Rotation and Retention Policy