Google Professional Machine Learning Engineer Question 65
Single answerGoogle Cloud PlatformYour company wants to build a machine learning model to classify product images into categories (e.g., electronics, clothing, furniture). You are tasked with creating this model, but you have limited labeled training data and minimal machine learning expertise on your team. Which of the following Google Cloud AutoML services would be the most appropriate to use in this scenario?
- A
AutoML Vision
- B
AutoML Tables
- C
AutoML Natural Language
- D
AutoML Translation
Show answer and explanation
Correct answer: A
Explanation
AutoML Vision is part of Google Cloud's AutoML suite and provides an easy-to-use interface for training custom machine learning models for image classification and object detection. Given the task of classifying product images into categories, AutoML Vision is the most suitable choice as it is optimized for image data and requires minimal machine learning expertise.
- A. Correct.
AutoML Vision is specifically designed for image classification and object detection tasks, making it the best fit for classifying product images into categories.
- B. Incorrect.
AutoML Tables is used for tabular data, such as data in spreadsheets or relational databases. It is not suitable for image classification tasks.
- C. Incorrect.
AutoML Natural Language is designed for text-based tasks, such as sentiment analysis or text classification, and is not appropriate for image classification.
- D. Incorrect.
AutoML Translation is used for translating text between languages and is unrelated to image classification tasks.