Which of the following best describes the role of input nodes in SPSS MODELER?

Study for the Predictive Analytics Modeler Explorer Test with multiple-choice questions, hints, and explanations. Prepare confidently for your certification exam!

The role of input nodes in SPSS Modeler is primarily to connect to various external data sources and read in the data necessary for analysis and modeling. This means input nodes facilitate the incorporation of raw data from different formats and systems into the modeling workflow, effectively acting as the starting point for any analysis.

By utilizing input nodes, users are able to specify the data they wish to work with, which can originate from databases, flat files, or even external data services. This capability is essential for ensuring that the analysis is based on accurate and relevant data.

Understanding this function of input nodes highlights their importance in the overall data processing pipeline of SPSS Modeler, as they set the foundation for subsequent modeling, processing, and analytics steps. This illustrates why selecting the option that emphasizes their connection to external data sources is the best descriptor of their role.

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