Question 18 of 280
Single answerYou work for a large hotel chain and have been asked to assist the marketing team in gathering predictions for a
targeted marketing strategy. You need to make predictions about user lifetime value (LTV) over the next 20 days
so that marketing can be adjusted accordingly. The customer dataset is in BigQuery, and you are preparing the
tabular data for training with AutoML Tables. This data has a time signal that is spread across multiple columns.
How should you ensure that
AutoML fits the best model to your data?
AManually combine all columns that contain a time signal into an array. AIlow AutoML to interpret this array
appropriately. Choose an automatic data split across the training, validation, and testing sets.
BSubmit the data for training without performing any manual transformations. AIlow AutoML to handle the
appropriate transformations. Choose an automatic data split across the training, validation, and testing sets.
CSubmit the data for training without performing any manual transformations, and indicate an appropriate
column as the Time column. AIlow AutoML to split your data based on the time signal provided, and reserve the
more recent data for the validation and testing sets.
✓DSubmit the data for training without performing any manual transformations. Use the columns that have a
time signal to manually split your data. Ensure that the data in your validation set is from 30 days after the data
in your training set and that the data in your testing sets from 30 days after your validation set.
✓
Correct Answer: D
Submit the data for training without performing any manual transformations. Use the columns that have a time signal to manually split your data. Ensure that the data in your validation set is from 30 days after the data in your training set and that the data in your testing sets from 30 days after your validation set.
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Explanation
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