C1000-130 TRUSTWORTHY EXAM CONTENT - PREP C1000-130 GUIDE

C1000-130 Trustworthy Exam Content - Prep C1000-130 Guide

C1000-130 Trustworthy Exam Content - Prep C1000-130 Guide

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IBM C1000-130: IBM Cloud Pak for Integration V2021.2 Administration Exam is a certification program designed to assess the knowledge and skills of IT professionals in administering IBM Cloud Pak for Integration. C1000-130 Exam is intended for system administrators, architects, and developers who are responsible for deploying, configuring, and managing IBM Cloud Pak for Integration.

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Updated IBM C1000-130 Exam Questions in PDF Document

VCE4Dumps is a trusted and reliable platform that has been helping IBM Cloud Pak for Integration V2021.2 Administration (C1000-130) exam candidates for many years. Over this long time period countless IBM C1000-130 exam questions candidates have passed their dream C1000-130 Certification Exam. They all got help from VCE4Dumps IBM Exam Questions and easily passed their challenging C1000-130 pdf exam.

To prepare for the C1000-130 Exam, IBM recommends taking the IBM Cloud Pak for Integration V2021.2 Administration course, which covers all the exam objectives in detail. Additional study materials, such as IBM documentation and whitepapers, can also be helpful in preparing for the exam.

IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q50-Q55):

NEW QUESTION # 50
What does IBM MQ provide within the Cloud Pak for Integration?

  • A. Cannot be deployed across a range of different environments.
  • B. Works with a limited range of computing platforms.
  • C. Message delivery with security-rich and auditable features.
  • D. A versatile messaging integration from mainframe to cluster.

Answer: C

Explanation:
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.
Why the other options are incorrect:
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 Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM MQ Overview
IBM Cloud Pak for Integration Documentation
IBM MQ Security and Compliance Features
IBM MQ Deployment Options


NEW QUESTION # 51
The OpenShift Logging Operator monitors a particular Custom Resource (CR). What is the name of the Custom Resource used by the OpenShift Logging Opera-tor?

  • A. ClusterLogging
  • B. LoggingResource
  • C. ElasticsearchLog
  • D. DefaultLogging

Answer: A

Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, which runs on Red Hat OpenShift, logging is managed through the OpenShift Logging Operator. This operator is responsible for collecting, storing, and forwarding logs within the cluster.
The OpenShift Logging Operator monitors a specific Custom Resource (CR) named ClusterLogging, which defines the logging stack configuration.
How the ClusterLogging Custom Resource Works:
The ClusterLogging CR is used to configure and manage the cluster-wide logging stack, including components like:
Fluentd (Log collection and forwarding)
Elasticsearch (Log storage and indexing)
Kibana (Log visualization)
Administrators define log collection, storage, and forwarding settings using this CR.
Example of a ClusterLogging CR Definition:
apiVersion: logging.openshift.io/v1
kind: ClusterLogging
metadata:
name: instance
namespace: openshift-logging
spec:
managementState: Managed
logStore:
type: elasticsearch
retentionPolicy:
application:
maxAge: 7d
collection:
type: fluentd
This configuration sets up an Elasticsearch-based log store with Fluentd as the log collector.
Why Answer A (ClusterLogging) is Correct?
The OpenShift Logging Operator monitors the ClusterLogging CR to manage logging settings.
It defines how logs are collected, stored, and forwarded across the cluster.
IBM Cloud Pak for Integration uses this CR when integrating OpenShift's logging system.
Explanation of Incorrect Answers:
B . DefaultLogging → Incorrect
There is no such resource named DefaultLogging in OpenShift.
The correct resource is ClusterLogging.
C . ElasticsearchLog → Incorrect
Elasticsearch is the default log store, but it is managed within ClusterLogging, not as a separate CR.
D . LoggingResource → Incorrect
This is not an actual OpenShift CR related to logging.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
OpenShift Logging Overview
Configuring OpenShift Cluster Logging
IBM Cloud Pak for Integration - Logging and Monitoring


NEW QUESTION # 52
When upgrading Cloud Pak (or Integration and switching from Common Services (CS) monitoring to OpenShift monitoring, what command will check whether CS monitoring is enabled?

  • A. oc list pods -A | grep -i monitoring
  • B. oc get pods -n ibm-common-services | grep monitoring
  • C. oc describe pods/ibm-common-services | grep monitoring
  • D. oc get containers -A

Answer: B

Explanation:
When upgrading IBM Cloud Pak for Integration (CP4I) and switching from Common Services (CS) monitoring to OpenShift monitoring, it is crucial to determine whether CS monitoring is currently enabled.
The correct command to check this is:
sh
CopyEdit
oc get pods -n ibm-common-services | grep monitoring
This command (oc get pods -n ibm-common-services) lists all pods in the ibm-common-services namespace, which is where IBM Common Services (including monitoring components) are deployed.
Using grep monitoring filters the output to show only the monitoring-related pods.
If monitoring-related pods are running in this namespace, it confirms that CS monitoring is enabled.
Explanation of Incorrect Options:
B (oc list pods -A | grep -i monitoring) - Incorrect
The oc list pods command does not exist in OpenShift CLI. The correct command to list all pods across all namespaces is oc get pods -A.
C (oc describe pods/ibm-common-services | grep monitoring) - Incorrect
oc describe pods/ibm-common-services is not a valid OpenShift command. The correct syntax would be oc describe pod <pod-name> -n ibm-common-services, but this only provides details of a specific pod, not a general check for monitoring pods.
D (oc get containers -A) - Incorrect
The oc get containers command is not valid in OpenShift CLI. Instead, oc get pods -A lists all pods, but it does not specifically filter monitoring-related services in the ibm-common-services namespace.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Documentation: Monitoring IBM Cloud Pak foundational services
IBM Cloud Pak for Integration: Disabling foundational services monitoring OpenShift Documentation: Managing Pods in OpenShift


NEW QUESTION # 53
What is the outcome when the API Connect operator is installed at the cluster scope?

  • A. The entire cluster effectively behaves as one large tenant.
  • B. The operator installs in a production deployment profile.
  • C. Automatic updates will be restricted by the approval strategy.
  • D. API Connect services will be deployed in the default namespace.

Answer: B


NEW QUESTION # 54
Which Kubernetes resource can be queried to determine if the API Connect op-erator installation has a status of 'succeeded?

  • A. The API Connect Operator subscription.
  • B. The API Connect Operator Pod.
  • C. The API Connect InstallPlan.
  • D. The API Connect ClusterServiceVersion.

Answer: D

Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, when installing the API Connect Operator, it is crucial to monitor its deployment status to ensure a successful installation. This is typically done using ClusterServiceVersion (CSV), which is a Kubernetes resource managed by the Operator Lifecycle Manager (OLM).
The ClusterServiceVersion (CSV) represents the state of an operator and provides details about its installation, upgrades, and available APIs. The status field within the CSV object contains the installation progress and indicates whether the installation was successful (Succeeded), is still in progress (Installing), or has failed (Failed).
To query the status of the API Connect operator installation, you can run the following command:
kubectl get csv -n <namespace>
or
kubectl describe csv <apic-csv-name> -n <namespace>
This command will return details about the CSV, including its "Phase", which should be "Succeeded" if the installation is complete.
Why Other Options Are Incorrect:
A . The API Connect InstallPlan - While the InstallPlan is responsible for tracking the installation process of the operator, it does not explicitly indicate whether the installation was completed successfully.
C . The API Connect Operator Subscription - The Subscription resource ensures that the operator is installed and updated, but it does not provide a direct success or failure status of the installation.
D . The API Connect Operator Pod - Checking the Pod status only shows if the Operator is running but does not confirm whether the installation process itself was completed successfully.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Knowledge Center
IBM API Connect Documentation
IBM OLM ClusterServiceVersion Reference
Kubernetes Official Documentation on CSV


NEW QUESTION # 55
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