AWS Certified Machine Learning – Specialty — Question 255

A wildlife research company has a set of images of lions and cheetahs. The company created a dataset of the images. The company labeled each image with a binary label that indicates whether an image contains a lion or cheetah. The company wants to train a model to identify whether new images contain a lion or cheetah.

Which Amazon SageMaker algorithm will meet this requirement?

Answer options

• A. XGBoost
• B. Image Classification - TensorFlow
• C. Object Detection - TensorFlow
• D. Semantic segmentation - MXNet

Correct answer: B

Explanation

The correct choice, Image Classification - TensorFlow, is designed specifically for tasks where the goal is to classify images into predefined categories. XGBoost is a decision-tree-based algorithm better suited for structured data rather than images. Object Detection and Semantic segmentation focus on locating and segmenting objects within an image, which is not the primary requirement here.