Q62 — AWS AIF-C01 Ch.1

Question 62 of 100 | ← Chapter 1

Which strategy evaluates the accuracy of a foundation model (FM) used for image classification tasks?

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

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

Explanation

This question tests knowledge of standard practices for evaluating image classification model accuracy. Accuracy is quantified by comparing model predictions against ground-truth labels in a held-out, representative benchmark dataset (e.g., ImageNet). Option A’s cost metric reflects efficiency—not accuracy. Option C’s layer count correlates poorly with performance. Option D’s color accuracy is irrelevant to classification correctness. Thus, Option B—measuring accuracy on a benchmark dataset—is the industry-standard, reliable method.