Good Validation Score but Worse Test Score: the right interpretation

Company: Deloitte USI_5sep

Difficulty: medium

Problem Statement

Question 1

A dataset is split into training, validation, and test sets. After several iterations, a model performs very well on training and validation data but noticeably worse on the untouched test set. Which interpretation is most appropriate?