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

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Total 113 questions
Question 1

An administrator has to implement high availability for various components of a Cloud Pak for Integration installation. Which two statements are true about the options available?



Answer : B, C

High availability (HA) in IBM Cloud Pak for Integration (CP4I) v2021.2 is crucial to ensure continuous service availability and reliability. Different components use different HA mechanisms, and the correct options are B and C.

Correct Answers Explanation:

B . Queue Manager (MQ) uses Replicated Data Queue Manager (RDQM).

IBM MQ supports HA through Replicated Data Queue Manager (RDQM), which uses synchronous data replication across nodes.

This ensures failover to another node without data loss if the primary node goes down.

RDQM is an efficient HA solution for MQ in CP4I.

C . API management uses a quorum mechanism where components are deployed on a minimum of three failure domains.

API Connect in CP4I follows a quorum-based HA model, meaning that the deployment is designed to function across at least three failure domains (availability zones).

This ensures resilience and prevents split-brain scenarios in case of node failures.

Incorrect Answers Explanation:

A . DataPower gateway uses a Quorum mechanism where a global load balancer uses a quorum algorithm to choose the active instance. Incorrect

DataPower typically operates in Active/Standby mode rather than a quorum-based model.

It can be deployed behind a global load balancer, but the quorum algorithm is not used to determine the active instance.

D . Platform Navigator uses an Active/Active deployment, where the primary handles all the traffic and in case of failure of the primary, the load balancer will then route the traffic to the secondary. Incorrect

Platform Navigator does not follow a traditional Active/Active deployment.

It is typically deployed as a highly available microservice on OpenShift, distributing workloads across nodes.

E . AppConnect can use a mix of mechanisms - like failover for stateful workloads and active/active deployments for stateless workloads. Incorrect

While AppConnect can be deployed in Active/Active mode, it does not necessarily mix failover and active/active mechanisms explicitly for HA purposes.

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

IBM MQ High Availability and RDQM

IBM API Connect High Availability

IBM DataPower Gateway HA Deployment

IBM Cloud Pak for Integration Documentation


Question 2

Which capability describes and catalogs the APIs of Kafka event sources and socializes those APIs with application developers?



Answer : C

In IBM Cloud Pak for Integration (CP4I) v2021.2, Event Endpoint Management (EEM) is the capability that describes, catalogs, and socializes APIs for Kafka event sources with application developers.

Why 'Event Endpoint Management' is the Correct Answer?

Event Endpoint Management (EEM) allows developers to discover and consume Kafka event sources in a structured way, similar to how REST APIs are managed in an API Gateway.

It provides a developer portal where event-driven APIs can be exposed, documented, and consumed by applications.

It helps organizations share event-driven APIs with internal teams or external consumers, enabling seamless event-driven integrations.

Why the Other Options Are Incorrect?

Option

Explanation

Correct?

A . Gateway Endpoint Management

Incorrect -- Gateway endpoint management refers to managing API Gateway endpoints for routing and securing APIs, but it does not focus on event-driven APIs like Kafka.

B . REST Endpoint Management

Incorrect -- REST Endpoint Management deals with traditional RESTful APIs, not event-driven APIs for Kafka.

D . API Endpoint Management

Incorrect -- API Endpoint Management is a generic term for managing APIs but does not specifically focus on event-driven APIs for Kafka.

Final Answer:

C. Event Endpoint Management

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

IBM Cloud Pak for Integration -- Event Endpoint Management

IBM Event Endpoint Management Documentation

Kafka API Discovery & Management in IBM CP4I


Question 3

The following deployment topology has been created for an API Connect deploy-ment by a client.

Which two statements are true about the topology?



Answer : A, E

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.


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

Question 4

After setting up OpenShift Logging an index pattern in Kibana must be created to retrieve logs for Cloud Pak for Integration (CP4I) applications. What is the correct index for CP4I applications?



Answer : B

When configuring OpenShift Logging with Kibana to retrieve logs for Cloud Pak for Integration (CP4I) applications, the correct index pattern to use is applications*.

Here's why:

IBM Cloud Pak for Integration (CP4I) applications running on OpenShift generate logs that are stored in the Elasticsearch logging stack.

The standard OpenShift logging format organizes logs into different indices based on their source type.

The applications* index pattern is used to capture logs for applications deployed on OpenShift, including CP4I components.

Analysis of the options:

Option A (Incorrect -- cp4i-*): There is no specific index pattern named cp4i-* for retrieving CP4I logs in OpenShift Logging.

*Option B (Correct -- applications)**: This is the correct index pattern used in Kibana to retrieve logs from OpenShift applications, including CP4I components.

Option C (Incorrect -- torn-*): This is not a valid OpenShift logging index pattern.

Option D (Incorrect -- app-*): This index does not exist in OpenShift logging by default.

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

IBM Cloud Pak for Integration Logging Guide

OpenShift Logging Documentation

Kibana and Elasticsearch Index Patterns in OpenShift


Question 5

What automates permissions-based workload isolation in Foundational Services?



Answer : B

The NamespaceScope operator is responsible for managing and automating permissions-based workload isolation in IBM Cloud Pak for Integration (CP4I) Foundational Services. It allows multiple namespaces to share common resources while maintaining controlled access, thereby enforcing isolation between workloads.

Key Functions of the NamespaceScope Operator:

Enables namespace scoping, which helps define which namespaces have access to shared services.

Restricts access to specific components within an environment based on namespace policies.

Automates workload isolation by enforcing access permissions across multiple namespaces.

Ensures compliance with IBM Cloud security standards by providing a structured approach to multi-tenant deployments.

Why Other Options Are Incorrect:

A . Operand Deployment Lifecycle Manager: Manages lifecycle and deployment of operands in IBM Cloud Paks but does not specifically handle workload isolation.

C . Node taints and pod tolerations: These are Kubernetes-level mechanisms to control scheduling of pods on nodes but do not directly automate permissions-based workload isolation.

D . The IAM operator: Manages authentication and authorization but does not specifically focus on namespace-based workload isolation.

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

IBM Documentation: NamespaceScope Operator

IBM Cloud Pak for Integration Knowledge Center

IBM Cloud Pak for Integration v2021.2 Administration Guide


Question 6

When using the Operations Dashboard, which of the following is supported for encryption of data at rest?



Answer : B

The Operations Dashboard in IBM Cloud Pak for Integration (CP4I) v2021.2 is used for monitoring and managing integration components. When securing data at rest, the supported encryption method in CP4I includes Portworx, which provides enterprise-grade storage and encryption solutions.

Why Option B (Portworx) is Correct:

Portworx is a Kubernetes-native storage solution that supports encryption of data at rest.

It enables persistent storage for OpenShift workloads, including Cloud Pak for Integration components.

Portworx provides AES-256 encryption, ensuring that data at rest remains secure.

It allows for role-based access control (RBAC) and Key Management System (KMS) integration for secure key handling.

Explanation of Incorrect Answers:

A . AES128 Incorrect

While AES encryption is used for data protection, AES128 is not explicitly mentioned as the standard for Operations Dashboard storage encryption.

AES-256 is the preferred encryption method when using Portworx or IBM-provided storage solutions.

C . base64 Incorrect

Base64 is an encoding scheme, not an encryption method.

It does not provide security for data at rest, as base64-encoded data can be easily decoded.

D . NFS Incorrect

Network File System (NFS) does not inherently provide encryption for data at rest.

NFS can be used for storage, but additional encryption mechanisms are needed for securing data at rest.

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

IBM Cloud Pak for Integration Security Best Practices

Portworx Data Encryption Documentation

IBM Cloud Pak for Integration Storage Considerations

Red Hat OpenShift and Portworx Integration

https://www.ibm.com/docs/en/cloud-paks/cp-integration/2020.3?topic=configuration-installation


Question 7

What authentication information is provided through Base DN in the LDAP configuration process?



Answer : B

In Lightweight Directory Access Protocol (LDAP) configuration, the Base Distinguished Name (Base DN) specifies the starting point in the directory tree where searches for user authentication and group information begin. It acts as the root of the LDAP directory structure for queries.

Key Role of Base DN in Authentication:

Defines the scope of LDAP searches for user authentication.

Helps locate users, groups, and other directory objects within the directory hierarchy.

Ensures that authentication requests are performed within the correct organizational unit (OU) or domain.

Example: If users are stored in ou=users,dc=example,dc=com, then the Base DN would be:

dc=example,dc=com

When an authentication request is made, LDAP searches for user entries within this Base DN to validate credentials.

Why Other Options Are Incorrect:

A . Path to the server containing the Directory.

Incorrect, because the server path (LDAP URL) is defined separately, usually in the format:

ldap://ldap.example.com:389

C . Name of the database.

Incorrect, because LDAP is not a traditional relational database; it uses a hierarchical structure.

D . Configuration file path.

Incorrect, as LDAP configuration files (e.g., slapd.conf for OpenLDAP) are separate from the Base DN and are used for server settings, not authentication scope.

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

IBM Documentation: LDAP Authentication Configuration

IBM Cloud Pak for Integration - Configuring LDAP

Understanding LDAP Distinguished Names (DNs)


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Total 113 questions