Question 31

Question

A retail organization is training a model to recommend products to customers for an ecommerce
website. The model was trained on previous purchases, but did not include demographic information
on each buyer. What dimension of the data is responsible for the model's poor performance?

Accepted Answer

Completeness

Meera Y. · Answer

Option D is right. It's about completeness because missing those demographic details means the dataset lacks an important dimension. Validity (B) is kind of a trap here, but that’s more about correctness, not missing data. Saw similar in practice, always completeness if relevant info is left out.

Leo H. · Answer

B . Had something like this in a mock and validity was the issue called out for missing attributes.

Priya S. · Answer

D since the missing demographic info means the dataset isn't complete. Practice exams and the official GCP training materials mention completeness a lot for questions like this. Pretty sure that's the main point.

Google Cloud-Digital-Leader Real Exam Questions [October 2026 Update] Quiz

A retail organization is training a model to recommend products to customers for an ecommerce website. The model was trained on previous purchases, but did not include demographic information on each buyer. What dimension of the data is responsible for the model's poor performance?

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