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In the Operations Dashboard, which configurable value can be set by the ad-ministrator to determine the percentage of traces that are sampled, collected, and stored?
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).
How the Sampling Policy Works:
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.
Analysis of the Options:
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.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM API Connect and Operations Dashboard - Tracing Configuration
IBM Cloud Pak for Integration - Distributed Tracing Guide
OpenTelemetry and Sampling Policy for IBM Cloud Pak
Which two of the following support Cloud Pak for Integration deployments?
IBM Cloud Pak for Integration (CP4I) v2021.2 is designed to run on containerized environments that support Red Hat OpenShift, which can be deployed on various public clouds and on-premises environments. The two correct options that support CP4I deployments are:
Correct Answers:
Amazon Web Services (AWS) (Option B)
AWS supports IBM Cloud Pak for Integration via Red Hat OpenShift on AWS (ROSA) or self-managed OpenShift clusters running on AWS EC2 instances.
CP4I components such as API Connect, App Connect, MQ, and Event Streams can be deployed on OpenShift running on AWS.
Microsoft Azure (Option C)
Azure supports CP4I through Azure Red Hat OpenShift (ARO) or self-managed OpenShift clusters.
CP4I workloads can run efficiently on Azure's Kubernetes Service (AKS) when integrated with OpenShift.
Incorrect Answers:
Option
Explanation
Correct?
A . IBM Cloud Code Engine
Incorrect -- IBM Cloud Code Engine is a serverless platform designed for containerized applications and functions, but it does not support full-fledged OpenShift-based CP4I deployments.
D . IBM Cloud Foundry
Incorrect -- IBM Cloud Foundry is a Platform-as-a-Service (PaaS) that does not support OpenShift-based deployments, making it incompatible with CP4I.
E . Docker
Incorrect -- While CP4I components use containerized workloads, they require OpenShift or Kubernetes for orchestration, not just standalone Docker.
Final Answer:
B. Amazon Web Services C. Microsoft Azure
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Deployment Options
What authentication information is provided through Base DN in the LDAP configuration process?
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)
What is the purpose of the Automation Assets Deployment capability?
In IBM Cloud Pak for Integration (CP4I) v2021.2, the Automation Assets Deployment capability is designed to help users efficiently manage integration assets within the Cloud Pak environment. This capability provides a centralized repository where users can store, manage, retrieve, and search for integration assets that are essential for automation and integration processes.
Option A is incorrect: The Automation Assets Deployment feature is not a streaming platform for managing data from multiple sources. Streaming platforms, such as IBM Event Streams, are used for real-time data ingestion and processing.
Option B is incorrect: Similar to Option A, this feature does not focus on data streaming or management from a single source but rather on handling integration assets.
Option C is correct: The Automation Assets Deployment capability provides a comprehensive solution for storing, managing, retrieving, and searching integration-related assets within IBM Cloud Pak for Integration. It enables organizations to reuse and efficiently deploy integration components across different services.
Option D is incorrect: While this capability allows for storing and managing assets, it also provides retrieval and search functionality, making Option C the more accurate choice.
IBM Cloud Pak for Integration (CP4I) v2021.2 Administration Reference:
IBM Cloud Pak for Integration Documentation
IBM Cloud Pak for Integration Automation Assets Overview
IBM Knowledge Center -- Managing Automation Assets
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?
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
