Which tool writes selected observations to an output dataset and saves the seed values for generating random numbers?

The Sample Tool is specifically designed to select a subset of observations from a dataset and can write these selected observations to an output dataset. One of its key features is the ability to set a seed value for random number generation. This ensures that the sampling process is reproducible—if the same seed is used, the same observations will be selected in future runs, which is critical for consistent results during analysis and model development.

In contrast, the Input Tool is primarily used to read in datasets, while the Source Tool is focused on creating a connection to the data source rather than manipulating it. The Data Modify Tool is used to alter data attributes or values rather than perform sampling. Thus, the capabilities of the Sample Tool in relation to selecting observations and ensuring a reproducible random sampling process make it the right choice for this question.