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IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q51-Q56):

NEW QUESTION # 51
An administrator has configured OpenShift Container Platform (OCP) log forwarding to external third-party systems. What is expected behavior when the external logging aggregator becomes unavailable and the collected logs buffer size has been completely filled?

A. OCP extends the buffer size and resumes logs collection.
B. The Fluentd daemon is forced to stop.
C. OCP rotates the logs and deletes them.
D. OCP store the logs in a temporary PVC.

Answer: C

Explanation:
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

NEW QUESTION # 52
Starling with Common Services 3.6, which two monitoring service modes are available?

A. OpenShift Common Monitoring
C CP4I Monitoring
B. CS Monitoring
C. OCP Monitoring
D. Grafana Monitoring

Answer: B,C

Explanation:
Starting with IBM Cloud Pak for Integration (CP4I) v2021.2, which uses IBM Common Services 3.6, there are two monitoring service modes available for tracking system health and performance:
OCP Monitoring (OpenShift Container Platform Monitoring) - This is the native OpenShift monitoring system that provides observability for the entire cluster, including nodes, pods, and application workloads. It uses Prometheus for metrics collection and Grafana for visualization.
CS Monitoring (Common Services Monitoring) - This is the IBM Cloud Pak for Integration-specific monitoring service, which provides additional observability features specifically for IBM Cloud Pak components. It integrates with OpenShift but focuses on Cloud Pak services and applications.
Why the other options are incorrect:
Option B (OpenShift Common Monitoring) is incorrect: While OpenShift has a Common Monitoring Stack, it is not a specific mode for IBM CP4I monitoring services. Instead, it is a subset of OCP Monitoring used for monitoring the OpenShift control plane.
Option C (CP4I Monitoring) is incorrect: There is no separate "CP4I Monitoring" service mode. CP4I relies on OpenShift's monitoring framework and IBM Common Services monitoring.
Option E (Grafana Monitoring) is incorrect: Grafana is a visualization tool, not a standalone monitoring service mode. It is used in conjunction with Prometheus in both OCP Monitoring and CS Monitoring.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Monitoring Documentation
IBM Common Services Monitoring Overview
OpenShift Monitoring Stack - Red Hat Documentation

NEW QUESTION # 53
An API Conned administrator runs the command shown below:

Given the output of the command, what is the state of the API Connect components?

A. Developer Portal sites will be unresponsive.
B. Automated API behavior testing has failed.
C. The Analytics subsystem cannot retain historical data.
D. New API calls will be rejected by the gateway service.

Answer: D

NEW QUESTION # 54
Which tool provides a tracing feature which allows visually following the journey of distributed transactions from the entry as an API. to invocation of an integration flow, into an MQ queue?

A. Operations Dashboard
B. Integration Designer
C. Asset Manager
D. Confluent Platform

Answer: A

Explanation:
Explanation
https://www.ibm.com/docs/en/cloud-paks/cp-integration/2020.3?topic=dashboard-overview

NEW QUESTION # 55
Which statement is true for BAR files storage?

A. The BAR files must be stored in a volume in the container's file system.
B. The storage type can be changed after the Dashboard is created.
C. Persistent-claim storage is required.
D. The storage type cannot be changed after Dashboard is created.

Answer: D

Explanation:
In IBM Cloud Pak for Integration (CP4I) v2021.2, BAR (Broker Archive) files are used to package message flows, message models, and other resources for IBM App Connect Enterprise (ACE) deployments. These BAR files must be stored in a persistent storage volume to ensure they remain available across pod restarts and upgrades.
When setting up the ACE Dashboard, the storage type must be defined during the initial configuration. Once the Dashboard is created, the selected storage type cannot be changed without recreating the Dashboard. This is because the storage configuration is tied to the deployment and affects how BAR files are managed and accessed.
Option A (Persistent-claim storage is required): Incorrect, because while persistent storage is commonly used, the requirement depends on the deployment configuration. ACE supports ephemeral storage as well.
Option B (The storage type can be changed after the Dashboard is created): Incorrect, as the storage type is fixed after creation.
Option C (The BAR files must be stored in a volume in the container's file system): Incorrect, as ACE supports different storage options, including persistent volumes.
Option D (The storage type cannot be changed after Dashboard is created): Correct, because the storage configuration is immutable after creation.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Documentation: Managing BAR files in App Connect Enterprise
IBM Cloud Pak for Integration Knowledge Center: ACE Dashboard Storage Configuration IBM Redbooks: IBM Cloud Pak for Integration Deployment Guide

NEW QUESTION # 56
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C1000-130 Training Solutions offer you accurate Examcollection Vce to pass IBM Cloud Pak for Integration V2021.2 Administration exam

Examcollection IBM C1000-130 Vce - C1000-130 Exam Answers

IBM Cloud Pak for Integration V2021.2 Administration Sample Questions (Q51-Q56):

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