Google Cloud Professional Machine Learning Engineer — Question 233

You are developing a model to identify traffic signs in images extracted from videos taken from the dashboard of a vehicle. You have a dataset of 100,000 images that were cropped to show one out of ten different traffic signs. The images have been labeled accordingly for model training, and are stored in a Cloud Storage bucket. You need to be able to tune the model during each training run. How should you train the model?

Answer options

• A. Train a model for object detection by using Vertex AI AutoML.
• B. Train a model for image classification by using Vertex AI AutoML.
• C. Develop the model training code for object detection, and train a model by using Vertex AI custom training.
• D. Develop the model training code for image classification, and train a model by using Vertex AI custom training.

Correct answer: D

Explanation

The correct answer is D because the images are labeled specifically for image classification, which involves categorizing images into predefined classes. Options A and C are incorrect because they focus on object detection, which is not suitable for the provided dataset. Option B is also incorrect as it suggests using AutoML, which does not allow for the same level of tuning as custom training.