What should you do?

A company is training an Al model using a custom table to determine the amount of time it takes to deliver a package based on several key fields.

The testing data used to train the model is used for all training and regression testing scenarios and is considered complete data.

The trained model predicts a 2 percent variance between the estimated delivery time and the actual delivery time of packages.

The executive sponsors reject the model because the actual variance is at 15 percent.

You need to address the sponsors’ concern

What should you do?
A . Reduce the size of the data used within the model.
B. increase the size of the data used with the model.
C. Use sample training data from Microsoft
D. Replace the training data with real-world data.

Answer: D

Explanation:

Note: Start using AI Builder with sample data

Don’t have any data of your own to create a model? No problem! We’ve got you covered.

Sample data is available for several AI Builder model types, together with instructions for working with the sample data.

Reference: https://docs.microsoft.com/en-us/ai-builder/samples