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. Replace the training data with real-world data.

B. Reduce the size of the data used within the model.

C. Increase the size of the data used with the model.

D. Use sample training data from Microsoft.








 

Suggested Answer: A

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

This question is in PL-200 Microsoft Power Platform Functional Consultant Exam
For getting Microsoft Certified: Power Platform Functional Consultant Associate Certificate






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