Which action will preserve the intermediate data of a model?

Which action will preserve the intermediate data of a model?

• A. Running the model from the command line
• B. Running the model from a script
• C. Running the model as a geoprocessing tool
• D. Running the model from the ModelBuilder window

Answer: (D)

Running a model from the ModelBuilder window ensures that the intermediate data created during the model execution is preserved. When the model is run directly in ModelBuilder, it creates a workspace that allows for the storage of both input and intermediate outputs. This is particularly useful for debugging and analysis, as it enables a user to visually track the flow of data and inspect the results at each stage of the model operation. In contrast, executing the model from other environments, such as command line or scripts, typically does not provide the same level of control over intermediate data. When running as a geoprocessing tool, the primary focus is on the end results, often discarding intermediate data unless explicitly saved or configured to do so. The ModelBuilder interface allows users to manage and visualize the processes involved, thus retaining intermediate datasets much more effectively, which is essential for iterative processes or complex analyses.

Running a model from the ModelBuilder window ensures that the intermediate data created during the model execution is preserved. When the model is run directly in ModelBuilder, it creates a workspace that allows for the storage of both input and intermediate outputs. This is particularly useful for debugging and analysis, as it enables a user to visually track the flow of data and inspect the results at each stage of the model operation.

In contrast, executing the model from other environments, such as command line or scripts, typically does not provide the same level of control over intermediate data. When running as a geoprocessing tool, the primary focus is on the end results, often discarding intermediate data unless explicitly saved or configured to do so. The ModelBuilder interface allows users to manage and visualize the processes involved, thus retaining intermediate datasets much more effectively, which is essential for iterative processes or complex analyses.