Q24 — AWS AIF-C01 Ch.2

Question 24 of 100 | ← Chapter 2

Which strategy is used to evaluate the accuracy of a foundation model (FM) in an image classification task?

• A. Calculate the total resource cost incurred by the model.
• B. Evaluate model accuracy against a predefined benchmark dataset. ✓
• C. Count the number of layers in the neural network.
• D. Assess color accuracy of images after model processing.

Correct Answer: B. Evaluate model accuracy against a predefined benchmark dataset.

Explanation

Evaluating the accuracy of a foundation model (FM) in image classification is a core requirement. To objectively and accurately assess model performance, a predefined benchmark dataset—containing images with known ground-truth labels—is typically used. By feeding these images into the model and computing metrics such as accuracy and loss, the model’s classification performance can be comprehensively evaluated. Thus, evaluating against a predefined benchmark dataset is the standard strategy.