IBM C1000-130 Exam Dumps

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.

Why Option D is Correct:

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.

Explanation of Incorrect Answers:

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.

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

IBM Cloud Pak for Integration Identity and Access Management

IBM OperandConfig API Documentation

IBM Cloud Pak for Integration Security Configuration

In IBM Cloud Pak for Integration (CP4I), the Integration Runtimes page in the Platform Navigator provides an overview of available and deployable runtime components, such as IBM MQ, DataPower, API Connect, and Aspera.

When users see the message:

'Some runtimes cannot be created yet'

It typically indicates that one or more required operators have not been deployed. Each integration runtime requires its respective operator to be installed and running in order to create and manage instances of that runtime.

Key Reasons for This Issue:

If the Aspera, DataPower, or MQ operators are missing, then their corresponding runtimes will not be available in the Platform Navigator.

The Platform Navigator relies on these operators to manage the lifecycle of integration components.

Even if users have the necessary permissions, without the required operators, the integration runtimes cannot be provisioned.

Why Other Options Are Incorrect:

B . The platform navigator operator has not been installed cluster-wide

The Platform Navigator does not need to be installed cluster-wide for runtimes to be available.

If the Platform Navigator was missing, users would not even be able to access the Integration Runtimes page.

C . The ibm-entitlement-key has not been added in the same namespace as the platform navigator

The IBM entitlement key is required for pulling images from IBM's container registry but does not affect the visibility of Integration Runtimes.

If the entitlement key were missing, installation of operators might fail, but this does not directly cause the displayed message.

D . The API Connect operator has not been deployed

While API Connect is a component of CP4I, its operator is not required for all integration runtimes.

The error message suggests multiple runtimes are unavailable, which means the issue is more likely related to multiple missing operators, such as Aspera, DataPower, or MQ.

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

IBM Cloud Pak for Integration - Installing and Managing Operators

IBM Platform Navigator and Integration Runtimes

IBM MQ, DataPower, and Aspera Operators in CP4I

IBM Aspera High-Speed Transfer Server (HSTS) is a key component of IBM Cloud Pak for Integration (CP4I) that enables secure, high-speed data transfers. There are two primary methods to create an Aspera HSTS instance in CP4I v2021.2:

OpenShift Console (Option B - Correct):

Aspera HSTS can be deployed within an OpenShift cluster using the OpenShift Console.

Administrators can deploy Aspera HSTS by creating an instance from the IBM Aspera HSTS operator, which is available through the OpenShift OperatorHub.

The deployment is managed using Kubernetes custom resources (CRs) and YAML configurations.

IBM Aspera HSTS Installer (Option D - Correct):

IBM provides an installer for setting up an Aspera HSTS instance on supported platforms.

This installer automates the process of configuring the required services and dependencies.

It is commonly used for standalone or non-OpenShift deployments.

Analysis of Other Options:

Option A (Foundational Services Dashboard) - Incorrect:

The Foundational Services Dashboard is used for managing IBM Cloud Pak foundational services like identity and access management but does not provide direct deployment of Aspera HSTS.

Option C (Platform Navigator) - Incorrect:

Platform Navigator is used to manage cloud-native integrations, but it does not directly create Aspera HSTS instances. Instead, it can be used to access and manage the Aspera HSTS services after deployment.

Option E (Terraform) - Incorrect:

While Terraform can be used to automate infrastructure provisioning, IBM does not provide an official Terraform module for directly creating Aspera HSTS instances in CP4I v2021.2.

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

IBM Documentation: Deploying Aspera HSTS on OpenShift

IBM Aspera Knowledge Center: Aspera HSTS Installation Guide

IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide

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

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.

Why 'RWO Block Storage' is Required?

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.

Common Block Storage Options for API Connect on OpenShift:

IBM Cloud Block Storage

AWS EBS (Elastic Block Store)

Azure Managed Disks

VMware vSAN

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

IBM API Connect System Requirements

IBM Cloud Pak for Integration Storage Recommendations

Red Hat OpenShift Storage Documentation