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Unparalleled C1000-130 Discount Code | Easy To Study and Pass Exam at first attempt & Trustable IBM IBM Cloud Pak for Integration V2021.2 Administration
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IBM Cloud Pak for Integration V2021.2 Administration exam or the IBM C1000-130 is a certification that assesses an individual’s knowledge and skills in administering the IBM Cloud Pak for Integration. C1000-130 exam validates the candidate’s expertise in configuring, maintaining, and troubleshooting IBM Cloud Pak for Integration components. The IBM Cloud Pak for Integration is an enterprise-grade integration solution that offers a collection of system integrations capabilities to modernize heterogeneous IT landscapes.
The IBM C1000-130 Exam consists of 60 multiple-choice questions and is available worldwide in English. It covers a range of topics, including IBM Cloud Pak for Integration architecture, installation and configuration, security, monitoring and troubleshooting, and more. Passing C1000-130 exam validates your proficiency in administering and managing IBM Cloud Pak for Integration.
IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q70-Q75):
NEW QUESTION # 70
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. A. Regular back-ups of the API Manager and Portal have to be taken and these backups should be replicated to the second site.
- B. 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.
- C. This represents an Active/Active deployment for Gateway and Analytics services.
- D. This represents a distributed Kubernetes cluster across the sites.
- E. This represents a Active/Passive deployment (or Portal and Management ser-vices.
Answer: A,C
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 # 71
What type of storage is required by the API Connect Management subsystem?
- A. RWX block storage
- B. NFS
- C. RWO block storage
- D. GlusterFS
Answer: C
Explanation:
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
NEW QUESTION # 72
Which statement is true regarding the DataPower Gateway operator?
- A. The operator creates the DataPowerService as a ReplicaSet.
- B. The operator creates the DataPowerService as a DaemonSet.
- C. The operator creates the DataPowerService as a Deployment.
- D. The operator creates the DataPowerService as a StatefulSet.
Answer: D
Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, the DataPower Gateway operator is responsible for managing DataPower Gateway deployments within an OpenShift environment. The correct answer is StatefulSet because of the following reasons:
Why is DataPowerService created as a StatefulSet?
Persistent Identity & Storage:
A StatefulSet ensures that each DataPowerService instance has a stable, unique identity and persistent storage (e.g., for logs, configurations, and stateful data).
This is essential for DataPower since it maintains configurations that should persist across pod restarts.
Ordered Scaling & Upgrades:
StatefulSets provide ordered, predictable scaling and upgrades, which is important for enterprise gateway services like DataPower.
Network Identity Stability:
Each pod in a StatefulSet gets a stable network identity with a persistent DNS entry.
This is critical for DataPower appliances, which rely on fixed hostnames and IPs for communication.
DataPower High Availability:
StatefulSets help maintain high availability and proper state synchronization between multiple instances when deployed in an HA mode.
Why are the other options incorrect?
❌ Option A (DaemonSet):
DaemonSets ensure that one pod runs on every node, which is not necessary for DataPower.
DataPower requires stateful behavior and ordered deployments, which DaemonSets do not provide.
❌ Option B (Deployment):
Deployments are stateless, while DataPower needs stateful behavior (e.g., persistence of certificates, configurations, and transaction data).
Deployments create identical replicas without preserving identity, which is not suitable for DataPower.
❌ Option D (ReplicaSet):
ReplicaSets only ensure a fixed number of running pods but do not manage stateful data or ordered scaling.
DataPower requires persistence and ordered deployment, which ReplicaSets do not support.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Knowledge Center - DataPower Gateway Operator IBM Documentation IBM DataPower Gateway Operator Overview Official IBM Cloud documentation on how DataPower is deployed using StatefulSets in OpenShift.
Red Hat OpenShift StatefulSet Documentation
StatefulSets in Kubernetes
NEW QUESTION # 73
OpenShift Pipelines can be used to automate the build of custom images in a CI/CD pipeline and they are based on Tekton.
What type of component is used to create a Pipeline?
- A. TaskRun
- B. Task
- C. TPipe
- D. Pipe
Answer: B
Explanation:
OpenShift Pipelines, which are based on Tekton, use various components to define and execute CI/CD workflows. The fundamental building block for creating a Pipeline in OpenShift Pipelines is a Task.
Key Tekton Components:
Task (✅ Correct Answer)
A Task is the basic unit of work in Tekton.
Each Task defines a set of steps (commands) that are executed in containers.
Multiple Tasks are combined into a Pipeline to form a CI/CD workflow.
Pipeline (uses multiple Tasks)
A Pipeline is a collection of Tasks that define the entire CI/CD workflow.
Each Task in the Pipeline runs in sequence or in parallel as specified.
Why the Other Options Are Incorrect?
Option
Explanation:
Correct?
A .TaskRun
❌ Incorrect - A TaskRun is an execution instance of a Task, but it does not define the Pipeline itself.
❌
C . TPipe
❌ Incorrect - No such Tekton component called TPipe exists.
❌
D . Pipe
❌ Incorrect - The correct term is Pipeline, not "Pipe". OpenShift Pipelines do not use this term.
❌
Final answer:
✅ B . Task
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
OpenShift Pipelines (Tekton) Documentation
Tekton Documentation - Understanding Tasks
IBM Cloud Pak for Integration - CI/CD with OpenShift Pipelines
NEW QUESTION # 74
What are two ways an Aspera HSTS Instance can be created?
- A. Foundational Services Dashboard
- B. Terraform
- C. IBM Aspera HSTS Installer
- D. OpenShift console
- E. Platform Navigator
Answer: D,E
Explanation:
https://www.ibm.com/docs/en/cloud-paks/cp-integration/2021.1?topic=runtimes-high-speed-transfer-server-deployment
NEW QUESTION # 75
......
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