Which Watson Pipeline component manages pipeline errors, typically used with DataStage?

In IBM Watson Pipelines, the Error Handling feature is the designated component for managing failures within a pipeline node. When configuring a node, such as "Run DataStage job," the "Error handling" tab allows a user to define the pipeline's behavior upon encountering an error. This includes options like terminating the entire pipeline immediately, continuing the run despite the error, or proceeding down a specific conditional path. This mechanism provides robust control over the pipeline's execution flow in case of job failures.

A. Fault Settings: This is a generic term. The specific feature within Watson Pipelines for managing node failures is explicitly named "Error Handling," not "Fault Settings."
B. Default Control: This term is too general and does not represent a specific, named component or setting for managing errors within the Watson Pipelines service.
D. Process Termination Window: This describes a potential action or outcome (termination) that can be configured within Error Handling, but it is not the name of the component itself.

1. IBM Cloud Pak for Data 4.8 Documentation, "Configuring pipeline nodes": Under the "General node settings" section, it describes the "Error handling" tab. It states, "Configure settings for handling errors for the node. You can specify what to do if the node returns an error, for example, you can specify to stop the pipeline." This directly confirms "Error Handling" as the correct component.

2. IBM Cloud Pak for Data 4.8 Documentation, "Run DataStage job": This section details the configuration for a DataStage job node within a pipeline. It explicitly lists "Error handling" as a configurable property to manage how the pipeline reacts if the DataStage job fails during execution.