C1000-130 Exam Dumps - IBM Certified Administrator - Cloud Pak for Integration V2021.2 Questions and Answers

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

In IBM Cloud Pak for Integration (CP4I), the Operations Dashboard provides visibility into API and application performance by collecting and analyzing tracing data. The Sampling Policy is a configurable setting that determines the percentage of traces that are sampled, collected, and stored for analysis.

Tracing all requests can be resource-intensive, so a sampling policy allows administrators to control how much trace data is captured, balancing observability with system performance.

Sampling can be random (e.g., capture 10% of requests) or rule-based (e.g., capture only slow or error-prone transactions).

Administrators can configure trace sampling rates based on workload needs.

A higher sampling rate captures more traces, useful for debugging but may increase storage and processing overhead.

A lower sampling rate reduces storage but might miss some performance insights.

How the Sampling Policy Works:

A. Sampling policy (Correct) ✅

The sampling policy is the correct setting that defines how traces are collected and stored in the Operations Dashboard.

B. Sampling context (Incorrect) ❌

No such configuration exists in CP4I. The term "context" is generally used for metadata about a trace, not for controlling sampling rates.

C. Tracing policy (Incorrect) ❌

While tracing policies define whether tracing is enabled, they do not directly configure trace sampling rates.

D. Trace context (Incorrect) ❌

Trace context refers to the metadata attached to traces (such as trace IDs), but it does not determine the percentage of traces sampled.

Analysis of the Options:

IBM API Connect and Operations Dashboard - Tracing Configuration

IBM Cloud Pak for Integration - Distributed Tracing Guide

OpenTelemetry and Sampling Policy for IBM Cloud Pak

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

When installing an IBM Cloud Pak for Integration (CP4I) operator in an OpenShift cluster, issues like hanging installations often occur due to problems with the Operator Lifecycle Manager (OLM). The best approach for debugging a stalled installation is to systematically check the key Operator OLM objects in the following order:

Subscription:

The Subscription (Subscription CR) manages the operator installation and upgrades.

Check if the subscription is in the correct state (kubectl get subscription -n ).

Look for events that might indicate why the operator is stuck.

InstallPlan:

The InstallPlan determines the installation process for the operator.

If an InstallPlan is pending, it might indicate that dependencies or permissions are missing.

Use kubectl get installplan -n to check its status.

ClusterServiceVersion (CSV):

The ClusterServiceVersion (CSV) represents the installed operator and its status.

If the CSV is in a "Pending" or "Failed" state, logs will provide insights into what is wrong.

Use kubectl get csv -n to check its status.

Option A (Log Aggregator in openshift-operators and then Subscription) – Incorrect:

While logging is useful, the first step should be checking the OLM objects like Subscription, InstallPlan, and CSV.

Option B (InstallPlan and pod logs from the hanging operator) – Incorrect:

The InstallPlan is useful, but checking Subscription and CSV as well is necessary for a complete diagnosis.

Checking pod logs is a later step, not the first thing to do.

Option D (ibm-operator-catalog CatalogSource and ClusterServiceVersion) – Incorrect:

The CatalogSource is used to fetch the operator package, but it is not the first thing to check.

Checking Subscription, InstallPlan, and CSV first provides a more direct way to diagnose the issue.

IBM Cloud Pak for Integration Operator Troubleshooting

OpenShift Operator Lifecycle Manager (OLM) Guide

Debugging Operator Installation Issues in OpenShift

Why the other options are incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

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.

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.

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.

Explanation of OpenShift Components:Why the Scheduler is Correct?IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

IBM CP4I Documentation – Deploying on OpenShift

Red Hat OpenShift Documentation – Understanding the Scheduler

Kubernetes Documentation – Scheduler

The given YAML configuration is for ClusterLogging in an OpenShift environment, which is used for centralized logging. The key part of the specification that determines the behavior of Elasticsearch is:

logStore:

type: "elasticsearch"

elasticsearch:

nodeCount: 1

storage: {}

redundancyPolicy: ZeroRedundancy

nodeCount: 1

This means the Elasticsearch cluster will consist of only one node (single-node deployment).

storage: {}

The empty storage field implies no persistent storage is configured.

This means that if the pod is deleted or restarted, all stored logs will be lost.

redundancyPolicy: ZeroRedundancy

ZeroRedundancy means there is no data replication, making the system vulnerable to data loss if the pod crashes.

In contrast, a redundancy policy like MultiRedundancy ensures high availability by replicating data across multiple nodes, but that is not the case here.

Analysis of Key Fields:

Evaluating Answer Choices:Option

Explanation

Correct?

A. A single node ElasticSearch cluster with default persistent storage.

Incorrect, because storage: {} means no persistent storage is configured.

❌

B. A single infrastructure node with persisted ElasticSearch.

Incorrect, as this is not configuring an infrastructure node, and storage is not persistent.

❌

C. A single node ElasticSearch cluster which auto scales when redundancyPolicy is set to MultiRedundancy.

Incorrect, because setting MultiRedundancy does not automatically enable auto-scaling. Scaling needs manual intervention or Horizontal Pod Autoscaler (HPA).

❌

D. A single node ElasticSearch cluster with no persistent storage.

Correct, because nodeCount: 1 creates a single node, and storage: {} ensures no persistent storage.

✅

Final Answer:✅ D. A single node ElasticSearch cluster with no persistent storage.

IBM CP4I Logging and Monitoring Documentation

Red Hat OpenShift Logging Documentation

Elasticsearch Redundancy Policies in OpenShift Logging

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

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:

The IBM Storage Suite for Cloud Paks provides storage licensing for various IBM Cloud Pak solutions, including Cloud Pak for Integration (CP4I). It supports multiple storage options, such as IBM Spectrum Scale, IBM Spectrum Virtualize, IBM Spectrum Discover, IBM Spectrum Protect Plus, and OpenShift Container Storage (OCS).

IBM licenses CP4I based on Virtual Processor Cores (VPCs).

Storage Suite for Cloud Paks uses a conversion factor:

1 VPC of CP4I provides 25GB of OCS storage entitlement.

To calculate how much CP4I VPC is required for 8TB (8000GB) of OCS:

Understanding Licensing Conversion:8000GB25GB per VPC=320 VPCs\frac{8000GB}{25GB \text{ per VPC}} = 320 \text{ VPCs}25GB per VPC8000GB​=320 VPCs

Since the administrator only has 200 VPCs of CP4I, they do not have enough entitlement to cover the full 8TB of OCS storage. They would need an additional 120 VPCs to fully meet the requirement.

A. The Storage Suite entitlement covers the administrator's license needs only if the OpenShift cluster is running on IBM Cloud or AWS.

Incorrect, because Storage Suite for Cloud Paks can be used on any OpenShift deployment, including on-premises, IBM Cloud, AWS, or other cloud providers.

C. The Storage Suite entitlement already covers the administrator's license needs.

Incorrect, because 200 VPCs of CP4I only provide 5TB (200 × 25GB) of OCS storage, but the administrator needs 8TB.

D. The Storage Suite entitlement only covers IBM Spectrum products, but the licenses can be converted to OCS.

Incorrect, because Storage Suite already includes OpenShift Container Storage (OCS) as part of its licensing model without requiring any conversion.

Why Other Options Are Incorrect:IBM Cloud Pak for Integration (CP4I) v2021.2 Administration References:

IBM Storage Suite for Cloud Paks Licensing Guide

IBM Cloud Pak for Integration Licensing Information

OpenShift Container Storage Entitlement

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

In an air-gapped environment, the OpenShift cluster does not have direct internet access, which means that new software images, such as IBM API Connect, must be manually mirrored from an external source.

The correct approach for installing a new API Connect capability in an air-gapped OpenShift environment is to:

Use a laptop or a bastion host that does have internet access to pull required container images from IBM’s entitled software registry.

Leverage Container Application Software for Enterprises (CASE) files to download and transfer images to the private OpenShift registry.

Mirror images into the OpenShift cluster by using OpenShift’s built-in image mirror utilities (oc mirror).

This method ensures that all required container images are available locally within the air-gapped environment.

Why the Other Options Are Incorrect?Option

Explanation

Correct?

B. An OVA form-factor of the Cloud Pak for Integration is recommended for high-security deployments.

❌ Incorrect – IBM Cloud Pak for Integration does not provide an OVA (Open Virtual Appliance) format for API Connect deployments. It is containerized and runs on OpenShift.

❌

C. A pass-through route must be configured in the OpenShift Container Platform to connect to the online image registry.

❌ Incorrect – Air-gapped environments have no internet connectivity, so this approach would not work.

❌

D. Use secure FTP to mirror software images in the OpenShift Container Platform cluster nodes.

❌ Incorrect – OpenShift does not use FTP for image mirroring; it relies on oc mirror and image registries for air-gapped deployments.

❌

Final Answer:✅ A. Configure a laptop or bastion host to use Container Application Software for Enterprises files to mirror images.

IBM API Connect Air-Gapped Installation Guide

IBM Container Application Software for Enterprises (CASE) Documentation

Red Hat OpenShift - Mirroring Images for Disconnected Environments

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

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: