You are building a predictive maintenance model to preemptively detect part defects in bridges.

 According to the official exam guide 1 , one of the skills assessed in the exam is to “explain the predictions of a trained model”.  TensorFlow 2  is an open source framework for developing and deploying machine learning and deep learning models.  TensorFlow supports various model explainability methods, such as Integrated Gradien ts 3 , which is a technique that assigns an importance score to each input feature by approximating the integral of the gradients along the path from a baseline input to the actual input. Integrated Gradients can help explain the output of a deep learning-based model by highlighting the most influential features in the input images. Therefore, option C is the best way to build the model for the given use case. The other options are not relevant or optimal for this scenario.  References :

Professional ML Engineer Exam Guide

TensorFlow

Integrated Gradients

Google Professional Machine Learning Certification Exam 2023

Latest Google Professional Machine Learning Engineer Actua l Free Exam Questions