Question 21

Explanation

The correct answer regarding the upper and lower limits on columns (variables) in Einstein Discovery is: C. 2 column minimum, 50 maximum. In Einstein Discovery, the minimum number of columns (variables) you can have in a dataset for analysis is 2. This is because, at a minimum, you need one column as a feature (independent variable) and another as the target (dependent variable) for any meaningful analysis. The maximum number of columns allowed is 50. This limit helps to ensure that the analysis remains manageable and the model's performance is optimized, as too many variables can lead to issues like overfitting and increased complexity in the model. The other options exceed the maximum number of columns permitted in Einstein Discovery or set different minimum requirements that are not consistent with the platform's actual specifications.